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feat(skills): add provenance-backed original collection

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README.es-ES.md
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@@ -31,7 +31,7 @@ npx -y agi-super-team@latest --tool claude-code --doctor
Los comandos anteriores usan el paquete público de npm. Para automatizaciones reproducibles, sustituye `@latest` por una versión exacta, por ejemplo `@1.4.0`.
La distribución npm mantiene accesibles los 816 puntos de entrada `SKILL.md` e incluye todos los archivos de cada Skill asignado por `config/team-manifest.json`. Clona el repositorio si necesitas todos los recursos auxiliares de la biblioteca completa.
La distribución npm mantiene accesibles los 817 puntos de entrada `SKILL.md` e incluye todos los archivos de cada Skill asignado por `config/team-manifest.json`. La colección [Skills originales de Daniel](./skills/original/) reúne el trabajo propio con procedencia revisada. Clona el repositorio si necesitas todos los recursos auxiliares de la biblioteca completa.
Reemplaza `claude-code` con un ID de `--list-tools`. Usa `--all-tools` solo cuando quieras intencionalmente cada adaptador global y de proyecto. Una ejecución sin argumentos permanece como la vista previa heredada de Codex; la nueva automatización debe especificar siempre `--tool` o `--all-tools`.
README.md
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@@ -31,7 +31,7 @@ npx -y agi-super-team@latest --tool claude-code --doctor
The commands above use the public npm package. For reproducible automation, replace `@latest` with an exact published version such as `@1.4.0`.
The npm distribution keeps all 816 `SKILL.md` entrypoints discoverable and includes the complete files for every Skill assigned by `config/team-manifest.json`. Clone the repository when you need every auxiliary asset from the wider Skill library.
The npm distribution keeps all 817 `SKILL.md` entrypoints discoverable and includes the complete files for every Skill assigned by `config/team-manifest.json`. Browse the provenance-backed [Daniel's Original Skills](./skills/original/) collection for reviewed first-party work. Clone the repository when you need every auxiliary asset from the wider Skill library.
Replace `claude-code` with an ID from `--list-tools`. Use `--all-tools` only when you intentionally want every global and project adapter. A no-argument run remains the legacy Codex preview; new automation should always name `--tool` or `--all-tools`.
README_CN.md
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@@ -29,7 +29,7 @@ npx -y agi-super-team@latest --tool claude-code --doctor
以上命令直接使用公开 npm 包。自动化场景建议把 `@latest` 换成明确版本，例如 `@1.4.0`，以获得可复现安装。
npm 发行包保留全部 816 个 `SKILL.md` 入口，并完整携带 `config/team-manifest.json` 实际分配的所有 Skills；如果需要整个 Skill 库的全部辅助素材，请克隆仓库。
npm 发行包保留全部 817 个 `SKILL.md` 入口，并完整携带 `config/team-manifest.json` 实际分配的所有 Skills。经过来源审查的第一方作品可在 [Daniel 的原创 Skills](./skills/original/) 分类中查看；如果需要整个 Skill 库的全部辅助素材，请克隆仓库。
把 `claude-code` 换成 `--list-tools` 输出的目标 ID。只有在确实要同时写入全部全局和项目适配目标时，才使用 `--all-tools`。不带参数仍保留旧版 Codex 预览行为；新脚本应明确写出 `--tool` 或 `--all-tools`。
agents/cco/TOOLS.md
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这些 Skill 依赖特定 Harness、连接器或外部能力；通用安装器不会自动复制或启用。
- [`ai-marketing-videos`](../../skills/ai-marketing-videos/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`content-cover-gen`](../../skills/content-cover-gen/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`content-illustration-strategy`](../../skills/content-illustration-strategy/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`content-cover-gen`](../../skills/content-cover-gen/) — 项目原创 · 尚未评分 · 运行证据：待验证
- [`content-illustration-strategy`](../../skills/content-illustration-strategy/) — 项目原创 · 尚未评分 · 运行证据：待验证
- [`content-ops-toolkit`](../../skills/content-ops-toolkit/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`douyin-smart-publish`](../../skills/douyin-smart-publish/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`douyin-smart-publish`](../../skills/douyin-smart-publish/) — 项目原创 · 尚未评分 · 运行证据：待验证
- [`nano-banana-pro`](../../skills/nano-banana-pro/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`seo-content-writer`](../../skills/seo-content-writer/) — 来源待核 · 尚未评分 · 运行证据：待验证
- [`social-content`](../../skills/social-content/) — 来源待核 · 尚未评分 · 运行证据：待验证
catalog/README.md
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@@ -8,6 +8,8 @@ Find a skill by the outcome you need. This index is generated from tracked, phys
**Curation evidence:** origin labels and the separate **Curation evidence score** come from reviewed authored contracts. `Unknown` and `Unscored` are honest defaults; runtime evidence remains a separate field. See the [methodology](../docs/skill-provenance-and-scoring.md).
**First-party collection:** browse the generated [Daniel's Original Skills](../skills/original/) view. It includes only digest-backed `project-original + reviewed` provenance and does not imply runtime verification.
## 🚀 Selected starting points
Only digest-matched, structurally valid Skills with reviewed provenance and a Curation evidence score of at least 75 appear here. Selection is not runtime verification.
@@ -33,7 +35,7 @@ Only digest-matched, structurally valid Skills with reviewed provenance and a Cu
## 🗂️ Browse by outcome
This revision contains 816 canonical catalog entries. The number is generated here rather than used as a product claim.
This revision contains 817 canonical catalog entries. The number is generated here rather than used as a product claim.
| Category | Use it for | Entries |
|---|---|---:|
@@ -44,12 +46,12 @@ This revision contains 816 canonical catalog entries. The number is generated he
| [🛡️ Security, Privacy & Legal](#security-privacy-legal) | Review security, privacy, compliance, permissions, contracts, and legal risk. | 34 |
| [🎨 Product, Design & UX](#product-design-ux) | Shape product requirements, interfaces, design systems, and user experience. | 22 |
| [📈 Marketing, SEO & Growth](#marketing-seo-growth) | Acquire audiences through positioning, campaigns, search, ads, and social growth. | 48 |
| [✍️ Content, Media & Publishing](#content-media-publishing) | Create, edit, repurpose, and publish writing, images, audio, and video. | 83 |
| [✍️ Content, Media & Publishing](#content-media-publishing) | Create, edit, repurpose, and publish writing, images, audio, and video. | 84 |
| [🤝 Sales, CRM & Customer Success](#sales-crm-customer-success) | Find, win, onboard, support, and retain customers with accountable workflows. | 40 |
| [💹 Finance, Trading & Markets](#finance-trading-markets) | Analyze markets, backtest strategies, track portfolios, and review financial risk. | 67 |
| [💹 Finance, Trading & Markets](#finance-trading-markets) | Analyze markets, backtest strategies, track portfolios, and review financial risk. | 68 |
| [🧭 Business Operations & Strategy](#business-operations-strategy) | Plan work, make decisions, manage teams, and improve operating systems. | 74 |
| [⚙️ Apps & Workflow Automation](#apps-workflow-automation) | Connect everyday apps, browsers, messaging systems, and repeatable workflows. | 89 |
| [🇨🇳 Chinese Platform Workflows](#chinese-platform-workflows) | Create, analyze, and publish for major Chinese-language platforms and channels. | 39 |
| [🇨🇳 Chinese Platform Workflows](#chinese-platform-workflows) | Create, analyze, and publish for major Chinese-language platforms and channels. | 38 |
| [🧰 Specialized Domains & Utilities](#general-utilities) | Domain-specific helpers and cross-functional tools that need a dedicated review path. | 44 |
<a id="ai-agents-orchestration"></a>
@@ -105,7 +107,7 @@ Coordinate agents, context, memory, models, prompts, and tool protocols.
| [`memory`](../skills/memory/) | Persistent memory: observations, session summaries, search | Unknown · unreviewed | Unscored | Catalog only |
| [`memory-hygiene`](../skills/memory-hygiene/) | Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory… | Unknown · unreviewed | Unscored | Catalog only |
| [`memory-router`](../skills/memory-router/) | Team-wide memory routing skill — routes agent queries to the optimal | Unknown · unreviewed | Unscored | Catalog only |
| [`meta-cognition`](../skills/meta-cognition/) | Meta-cognitive framing for analyze-before-doing, ownership routing, risk gating, minimum-closure planning, and retrospective extraction in multi-agent work. Use when the user… | Unknown · unreviewed | Unscored | Catalog only |
| [`meta-cognition`](../skills/meta-cognition/) | Meta-cognitive framing for analyze-before-doing, ownership routing, risk gating, minimum-closure planning, and retrospective extraction in multi-agent work. Use when the user… | Project original · reviewed | Unscored | Catalog only |
| [`model-fallback`](../skills/model-fallback/) | 模型自动降级与故障切换。当主模型请求失败、超时、达到速率限制或配额耗尽时，自动切换到备用模型，确保服务连续性。支持多供应商、多优先级的智能模型选择，提供健康监控、自动重试和错误恢复机制。 | Unknown · unreviewed | Unscored | Catalog only |
| [`model-health-check`](../skills/model-health-check/) | 检查已配置模型供应商的连通性、延迟和可用性，用于快速诊断模型侧故障。 | Unknown · unreviewed | Unscored | Catalog only |
| [`model-provider-manager`](../skills/model-provider-manager/) | Unified LLM provider and model configuration, health monitoring, and key management | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CTO |
@@ -505,11 +507,11 @@ Create, edit, repurpose, and publish writing, images, audio, and video.
| [`article-to-infographic`](../skills/article-to-infographic/) | 长文/测评文章 → 知识视觉笔记套图（3-5张）。自动提炼核心逻辑、规划分镜、生成高阶图像Prompt（4模块结构）。支持手写笔记/思维导图/架构图/对比矩阵四种风格。Use when: 文章转知识笔记、知识笔记图片、思维导图、视觉笔记、长文转图、知识卡片、文章可视化、article to infographic、knowledge… | Unknown · unreviewed | Unscored | Catalog only |
| [`cinematic-video-gen`](../skills/cinematic-video-gen/) | AI视频生成质量增强引擎。解决AI视频角色僵硬、表情空白、动作机械的问题。通过高级prompt工程+角色卡+运镜指令+表情库，让AI视频角色活起来。触发词：视频质量、角色僵硬、灵动、表情、动作、cinematic video、视频生成增强、MV视频、角色动画 | Unknown · unreviewed | Unscored | Catalog only |
| [`code-to-image`](../skills/code-to-image/) | 最强免费生图方案：用前端代码(HTML/CSS/JS/Canvas/SVG)设计画面，通过 Playwright 渲染为任意分辨率高清 PNG。 零API成本、无限分辨率、中文100%准确、代码可复用、Git可追踪。 配合 frontend-design / canvas-design / frontend-design-ultimate 产出 HTML… | Unknown · unreviewed | Unscored | Catalog only |
| [`content-cover-gen`](../skills/content-cover-gen/) | 内容驱动封面生成:从文章标题/核心观点自动生成视觉隐喻提示词,调用 relay-image-gen 出图。 每张封面3秒内传达文章核心观点,杜绝通用背景。 支持小红书(3:4)、抖音(9:16)、公众号(16:9)、知识星球(1:1)、掘金(16:9)。 触发:'生成封面'、'封面生成'、'cover'、'thumbnail'、'封面图'、'缩略图'。 | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`content-cover-gen`](../skills/content-cover-gen/) | 内容驱动封面生成:从文章标题/核心观点自动生成视觉隐喻提示词,调用 relay-image-gen 出图。 每张封面3秒内传达文章核心观点,杜绝通用背景。 支持小红书(3:4)、抖音(9:16)、公众号(16:9)、知识星球(1:1)、掘金(16:9)。 触发:'生成封面'、'封面生成'、'cover'、'thumbnail'、'封面图'、'缩略图'。 | Project original · reviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`content-creator`](../skills/content-creator/) | Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing… | Unknown · unreviewed | Unscored | Catalog only |
| [`content-extract`](../skills/content-extract/) | Robust URL-to-Markdown extraction for OpenClaw workflows. Use when the | Unknown · unreviewed | Unscored | Catalog only |
| [`content-factory`](../skills/content-factory/) | Description needs review; inspect source. | Unknown · unreviewed | Unscored | Catalog only |
| [`content-illustration-strategy`](../skills/content-illustration-strategy/) | 文章配图决策 skill：根据文章内容判断该配什么图、图从哪里来、什么时候该用 Telegram 真实对话截图，什么时候该用工具界面图、官网图、生成插图或流程图。 适用于公众号、小红书长图文、知识星球、掘金、博客等内容配图。触发词包括：'配图'、'插图'、'素材图'、'这篇文章该配什么图'、'截图进素材库'、'给这篇稿子补图'、'根据内容选图'。 | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`content-illustration-strategy`](../skills/content-illustration-strategy/) | 文章配图决策 skill：根据文章内容判断该配什么图、图从哪里来、什么时候该用 Telegram 真实对话截图，什么时候该用工具界面图、官网图、生成插图或流程图。 适用于公众号、小红书长图文、知识星球、掘金、博客等内容配图。触发词包括：'配图'、'插图'、'素材图'、'这篇文章该配什么图'、'截图进素材库'、'给这篇稿子补图'、'根据内容选图'。 | Project original · reviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`content-marketer`](../skills/content-marketer/) | You are an elite content marketing strategist specializing in AI-powered content creation, omnichannel marketing, and data-driven content optimization | Unknown · unreviewed | Unscored | Catalog only |
| [`content-ops-toolkit`](../skills/content-ops-toolkit/) | Analyze topics, score headlines, adapt drafts across platforms, and review content performance. Use for 选题分析、标题优化、多平台适配、内容复盘, or content review. | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`content-repurposing`](../skills/content-repurposing/) | Content atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content… | Unknown · unreviewed | Unscored | Catalog only |
@@ -521,6 +523,7 @@ Create, edit, repurpose, and publish writing, images, audio, and video.
| [`copy-editing`](../skills/copy-editing/) | When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish… | Unknown · unreviewed | Unscored | Portable required assignment · structure checked · CCO |
| [`copywriting`](../skills/copywriting/) | Write, rewrite, or improve marketing copy for homepages, landing pages, pricing pages, feature pages, and about pages. Use when the user needs conversion-focused copy with clear… | Unknown · unreviewed | Unscored | Portable required assignment · structure checked · CCO, CMO |
| [`cross-platform-poster`](../skills/cross-platform-poster/) | Publish one piece of content across MoltX, Twitter/X, Discord, and Telegram | Unknown · unreviewed | Unscored | Catalog only |
| [`daniel-x-writer`](../skills/daniel-x-writer/) | Use for concise Chinese X/Twitter posts in Daniel's first-person voice, mixing human tension, numerical evidence, explicit decision rules, and a sharp reflective ending. | Project original · reviewed | Unscored | Catalog only |
| [`doc-coauthoring`](../skills/doc-coauthoring/) | Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar… | Unknown · unreviewed | Unscored | Portable optional assignment · structure checked · CCO, CMO, CPO, CSO |
| [`docx`](../skills/docx/) | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with… | Unknown · unreviewed | Unscored | Catalog only |
| [`docx-perfect`](../skills/docx-perfect/) | Word文档美化与格式化专家。专门用于将Word文档中的文本内容转换为专业表格格式，应用一致的样式（深蓝色表头、斑马纹数据行、边框），支持版本化迭代管理。当用户需要美化Word文档、创建专业表格、或递增式优化文档章节时使用此技能。 | Unknown · unreviewed | Unscored | Catalog only |
@@ -544,8 +547,8 @@ Create, edit, repurpose, and publish writing, images, audio, and video.
| [`podcast-generation`](../skills/podcast-generation/) | Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative… | Unknown · unreviewed | Unscored | Catalog only |
| [`postmortem-writer`](../skills/postmortem-writer/) | Creates comprehensive post-incident documents with timeline, root cause analysis, contributing factors, action items, and ownership. Follows SRE best practices for blameless… | Unknown · unreviewed | Unscored | Portable optional assignment · structure checked · COO, CTO |
| [`pptx`](../skills/pptx/) | Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content,… | Unknown · unreviewed | Unscored | Catalog only |
| [`relay-image-gen`](../skills/relay-image-gen/) | Multi-provider image generation with automatic priority fallback | Unknown · unreviewed | Unscored | Catalog only |
| [`relay-video-gen`](../skills/relay-video-gen/) | Multi-provider video generation with async polling and automatic model fallback | Unknown · unreviewed | Unscored | Catalog only |
| [`relay-image-gen`](../skills/relay-image-gen/) | Multi-provider image generation with automatic priority fallback | Project original · reviewed | Unscored | Catalog only |
| [`relay-video-gen`](../skills/relay-video-gen/) | Multi-provider video generation with async polling and automatic model fallback | Project original · reviewed | Unscored | Catalog only |
| [`seo-content-writer`](../skills/seo-content-writer/) | Write SEO blog posts, articles, landing pages with keyword integration, header optimization, and snippet targeting. SEO文章写作/内容优化 | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`showcase-video-builder`](../skills/showcase-video-builder/) | Build polished showcase and demo videos from screenshots, avatars, and text overlays using ffmpeg. Use when creating demo reels, hackathon presentations, product walkthroughs, or… | Unknown · unreviewed | Unscored | Catalog only |
| [`slidev-agent-skill`](../skills/slidev-agent-skill/) | Create, edit, theme, build, and export Slidev presentations using a script-first workflow with detailed local references. Use when working on Slidev decks, themes, layouts,… | Unknown · unreviewed | Unscored | Catalog only |
@@ -562,7 +565,7 @@ Create, edit, repurpose, and publish writing, images, audio, and video.
| [`video-downloader`](../skills/video-downloader/) | Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality… | Unknown · unreviewed | Unscored | Catalog only |
| [`video-generation`](../skills/video-generation/) | Use this skill when the user requests to generate, create, or imagine videos. Supports structured prompts and reference image for guided generation. | Unknown · unreviewed | Unscored | Catalog only |
| [`video-lyrics-subtitle`](../skills/video-lyrics-subtitle/) | Video lyrics subtitle generator — create synchronized subtitle files for music videos | Unknown · unreviewed | Unscored | Catalog only |
| [`video-merge-send`](../skills/video-merge-send/) | 合并多个分段视频为一个完整视频，并发送到飞书。使用ffmpeg拼接视频片段，支持淡入淡出转场。触发场景：用户需要合并视频片段、拼接分镜视频、视频合并后发飞书、把多个短视频合成一个、分段视频合并发送。配合 jimeng-storyboard skill 使用，完成数字人视频全流程。 | Unknown · unreviewed | Unscored | Catalog only |
| [`video-merge-send`](../skills/video-merge-send/) | 合并多个分段视频为一个完整视频，并发送到飞书。使用ffmpeg拼接视频片段，支持淡入淡出转场。触发场景：用户需要合并视频片段、拼接分镜视频、视频合并后发飞书、把多个短视频合成一个、分段视频合并发送。配合 jimeng-storyboard skill 使用，完成数字人视频全流程。 | Project original · reviewed | Unscored | Catalog only |
| [`video-script`](../skills/video-script/) | Create video scripts and publishing materials for YouTubers/UP主. Use when user wants to prepare a video, write a script (口播稿), generate video title, description, tags, or chapter… | Unknown · unreviewed | Unscored | Catalog only |
| [`video-subtitles`](../skills/video-subtitles/) | Generate SRT subtitles from video/audio with translation support. Transcribes Hebrew (ivrit.ai) and English (whisper), translates between languages, burns subtitles into video.… | Unknown · unreviewed | Unscored | Catalog only |
| [`video-transcriber`](../skills/video-transcriber/) | 视频转写工作流，支持B站和YouTube视频。自动判断有字幕/无字幕，有字幕则获取字幕，无字幕则下载音频+whisper转写。触发场景：(1) 用户要求总结视频内容 (2) 用户要求获取视频字幕 (3) 用户要求转写视频 (4) 处理B站/YouTube视频 | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
@@ -634,7 +637,7 @@ Analyze markets, backtest strategies, track portfolios, and review financial ris
| Skill | What it helps with | Origin | Curation evidence | Support / review signals |
|---|---|---|---|---|
| [`5minbtc`](../skills/5minbtc/) | BTC 5分钟K线实时方向预测。v5.7.3引擎HTTP并行化(4路ThreadPoolExecutor→~3s,原12-18s)。半K线策略——第2分钟执行(progress~40%)，12正交因子含half_body实体延续+momentum/decel冲突降权+V反转+放量突破+Chainlink价格对齐+Platt… | Unknown · unreviewed | Unscored | Catalog only |
| [`5minbtc`](../skills/5minbtc/) | BTC 5分钟K线实时方向预测。v5.7.3引擎HTTP并行化(4路ThreadPoolExecutor→~3s,原12-18s)。半K线策略——第2分钟执行(progress~40%)，12正交因子含half_body实体延续+momentum/decel冲突降权+V反转+放量突破+Chainlink价格对齐+Platt… | Project original · reviewed | Unscored | Catalog only |
| [`a-fund-monitor`](../skills/a-fund-monitor/) | A股基金净值监控：盘中实时估值 + 盘后实际净值，定时推送到 Telegram。 | Unknown · unreviewed | Unscored | Catalog only |
| [`a-share-analysis`](../skills/a-share-analysis/) | 此Skill实现了三层分析体系： 1. 情报采集层 — 7路并发多源新闻采集，自动匹配板块和个股 2. 盘面阅读层 — 美股映射 + 大盘多空判断 + 实时主线(&gt;9%题材分析) 3. 个股精选层 — 产业逻辑 + 形态8分类 + 盘口分析 + 题材排名 + 综合评分 4. 原始新闻浏览 (news.py) — 分类展示影响股票的新闻，源信息不做任何修改 | Unknown · unreviewed | Unscored | Catalog only |
| [`afrexai-personal-finance`](../skills/afrexai-personal-finance/) | Complete personal finance system — budgeting, debt payoff, investing, tax optimization, net worth tracking, and financial independence planning. Use when managing money, building… | Unknown · unreviewed | Unscored | Catalog only |
@@ -646,6 +649,7 @@ Analyze markets, backtest strategies, track portfolios, and review financial ris
| [`bankr`](../skills/bankr/) | AI-powered crypto trading agent and LLM gateway via natural language. Use when the user wants to trade crypto, check portfolio balances, view token prices, transfer crypto,… | Unknown · unreviewed | Unscored | Catalog only |
| [`bankr-signals`](../skills/bankr-signals/) | Transaction-verified trading signals on Base blockchain. Agents publish trades | Unknown · unreviewed | Unscored | Catalog only |
| [`billing-automation`](../skills/billing-automation/) | Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating… | Unknown · unreviewed | Unscored | Catalog only |
| [`binance-square`](../skills/binance-square/) | 币安广场合约投机雷达 v4：以最近24小时专业交易帖为主要证据，回源核验帖子， 联合币安公共合约行情、4周期K线、布林带、ATR、量能和RR，生成可审计的本地影子报告。 触发词：币安广场、扫描币安、binance square、合约机会、交易信号雷达、4小时雷达 | Project original · reviewed | Unscored | Catalog only |
| [`binance-trending`](../skills/binance-trending/) | Description needs review; inspect source. | Unknown · unreviewed | Unscored | Catalog only |
| [`bookkeeping-basics`](../skills/bookkeeping-basics/) | Set up and maintain basic bookkeeping for a solopreneur business. Use when tracking income and expenses, preparing for taxes, managing invoices and receipts, understanding cash… | Unknown · unreviewed | Unscored | Portable optional assignment · structure checked · CFO |
| [`btc-5min-scalper`](../skills/btc-5min-scalper/) | BTC 5-minute Up/Down paper trading on Polymarket. Scans Binance 1m candles for momentum/mean-reversion/volume signals, makes virtual trades on Polymarket 5-min markets, tracks… | Unknown · unreviewed | Unscored | Catalog only |
@@ -890,14 +894,13 @@ Create, analyze, and publish for major Chinese-language platforms and channels.
|---|---|---|---|---|
| [`baidu-hot-cn`](../skills/baidu-hot-cn/) | 百度热榜监控 \| Baidu Hot Topics Monitor. 获取百度热搜榜、搜索趋势、关键词热度 \| Get Baidu trending searches, trends, keyword popularity. 触发词：百度、热搜、baidu. | Unknown · unreviewed | Unscored | Catalog only |
| [`baoyu-xhs-images`](../skills/baoyu-xhs-images/) | Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use… | Unknown · unreviewed | Unscored | Catalog only |
| [`binance-square`](../skills/binance-square/) | 从 Binance Square 热门话题排行榜获取话题列表，逐个进入话题页抓取最新帖子，提取社区交易信号、情绪方向和小币提及统计。 | Unknown · unreviewed | Unscored | Catalog only |
| [`daily-douyin-content`](../skills/daily-douyin-content/) | 你是 CCO，Daniel Li 的内容 Agent。 | Unknown · unreviewed | Unscored | Catalog only |
| [`daily-gzh-content`](../skills/daily-gzh-content/) | 公众号每日内容生产：选题→创作→素材生成→质量检查→保存→发布草稿 | Unknown · unreviewed | Unscored | Catalog only |
| [`daily-xhs-content`](../skills/daily-xhs-content/) | 你是 CCO，Daniel Li 的内容 Agent。 | Unknown · unreviewed | Unscored | Catalog only |
| [`daily-douyin-content`](../skills/daily-douyin-content/) | 你是 CCO，Daniel Li 的内容 Agent。 | Project original · reviewed | Unscored | Catalog only |
| [`daily-gzh-content`](../skills/daily-gzh-content/) | 公众号每日内容生产：选题→创作→素材生成→质量检查→保存→发布草稿 | Project original · reviewed | Unscored | Catalog only |
| [`daily-xhs-content`](../skills/daily-xhs-content/) | 你是 CCO，Daniel Li 的内容 Agent。 | Project original · reviewed | Unscored | Catalog only |
| [`douyin-creator`](../skills/douyin-creator/) | Description needs review; inspect source. | Unknown · unreviewed | Unscored | Catalog only |
| [`douyin-hot-trend`](../skills/douyin-hot-trend/) | 获取抖音热榜/热搜榜数据，包含热门视频、挑战赛、音乐等多领域热门内容，并输出标题、热度值、跳转链接及封面图（如有）。 | Unknown · unreviewed | Unscored | Catalog only |
| [`douyin-publisher`](../skills/douyin-publisher/) | 抖音图文/视频发布（OpenClaw Browser 自动化）：登录检测→内容校验→上传页导航→填标题/正文→上传封面+素材→暂存离开。 | Unknown · unreviewed | Unscored | Catalog only · review: credentials, external-write |
| [`douyin-smart-publish`](../skills/douyin-smart-publish/) | 抖音创作者平台智能发布（视频/图文）：内容适配→上传→填描述/#话题→封面→存草稿→截图回传确认。默认只存草稿；只有在 Daniel 明确确认后才允许点击发布。覆盖标题(≤55字)、描述(建议≤200字)、#话题标签(3-5个)、封面设置、定时发布、可见性、合拍/下载开关。Playwright 自动化。触发：'发抖音'、'抖音发布'、'douyin… | Unknown · unreviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`douyin-smart-publish`](../skills/douyin-smart-publish/) | 抖音创作者平台智能发布（视频/图文）：内容适配→上传→填描述/#话题→封面→存草稿→截图回传确认。默认只存草稿；只有在 Daniel 明确确认后才允许点击发布。覆盖标题(≤55字)、描述(建议≤200字)、#话题标签(3-5个)、封面设置、定时发布、可见性、合拍/下载开关。Playwright 自动化。触发：'发抖音'、'抖音发布'、'douyin… | Project original · reviewed | Unscored | Harness-specific assignment · generic installer skips · CCO |
| [`douyin-video-analyst`](../skills/douyin-video-analyst/) | 抖音账号视频批量采集与文案分析工作流。当用户提供抖音账号主页链接、要求抓取最新 N 条视频链接、提取视频文案（语音转文字）、或对视频内容进行总结归纳时，激活此 skill。依赖 browser 工具（抓取视频列表）和 mcporter + douyin-mcp（文案提取）。 | Unknown · unreviewed | Unscored | Catalog only |
| [`feishu-automation`](../skills/feishu-automation/) | 飞书（Lark）全通道自动化。使用 lark-mcp 工具操作飞书多维表格（Bitable）、发送消息、管理文档、创建群组、自动化工作流等。当用户需要操作飞书平台、同步数据到飞书表格、发送飞书通知、管理飞书文档或自动化飞书业务流程时使用此技能。 | Unknown · unreviewed | Unscored | Catalog only |
| [`feishu-channel`](../skills/feishu-channel/) | 飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送，支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别：本 skill… | Unknown · unreviewed | Unscored | Catalog only |
@@ -916,7 +919,7 @@ Create, analyze, and publish for major Chinese-language platforms and channels.
| [`wecom-automation`](../skills/wecom-automation/) | 企业微信个人账号直连自动化。基于 Wechaty 框架实现企业微信消息接收、自动同意好友、知识库问答、人工介入提醒。适用于企业微信个人机器人和自动化助手场景。 | Unknown · unreviewed | Unscored | Catalog only |
| [`wecom-cs-automation`](../skills/wecom-cs-automation/) | 企业微信客服自动化系统。自动同意好友添加、基于知识库的智能问答、未知问题人工介入提醒。适用于企业微信客服场景的 AI 助手机器人。 | Unknown · unreviewed | Unscored | Catalog only |
| [`weibo-hot-trend`](../skills/weibo-hot-trend/) | 获取微博热搜榜数据，返回热搜标题、热度值和跳转链接。当用户需要查看微博热搜、微博热点、微博热榜时使用此技能。支持自定义获取条数（默认50条）。 | Unknown · unreviewed | Unscored | Catalog only |
| [`weixin-channels-publish`](../skills/weixin-channels-publish/) | 微信视频号助手网页版视频发布全流程。通过浏览器自动化操控 channels.weixin.qq.com 完成登录检测、扫码登录、上传视频、填写描述和短标题、截图确认后发布或保存草稿。触发场景：用户需要发布视频到视频号、视频号发布、视频号上传视频、发视频号。 | Unknown · unreviewed | Unscored | Catalog only · review: credentials, external-write |
| [`weixin-channels-publish`](../skills/weixin-channels-publish/) | 微信视频号助手网页版视频发布全流程。通过浏览器自动化操控 channels.weixin.qq.com 完成登录检测、扫码登录、上传视频、填写描述和短标题、截图确认后发布或保存草稿。触发场景：用户需要发布视频到视频号、视频号发布、视频号上传视频、发视频号。 | Project original · reviewed | Unscored | Catalog only · review: credentials, external-write |
| [`wemp-operator`](../skills/wemp-operator/) | // 发布草稿 const { publishId } = await publishDraft(mediaId); | Unknown · unreviewed | Unscored | Catalog only |
| [`x-tweet-fetcher`](../skills/x-tweet-fetcher/) | Fetch tweets, replies, and user timelines from X/Twitter without login or API keys. Also supports Chinese platforms (Weibo, Bilibili, CSDN, WeChat). Includes camofox_search() for… | Unknown · unreviewed | Unscored | Catalog only |
| [`xhs-content-creator`](../skills/xhs-content-creator/) | Generate Xiaohongshu (小红书/RED) content optimized for the platform''s CES algorithm. Use when: (1) creating xiaohongshu/小红书 posts, (2) writing Chinese social media content for… | Unknown · unreviewed | Unscored | Catalog only |
@@ -948,8 +951,8 @@ Domain-specific helpers and cross-functional tools that need a dedicated review
| [`google-auth`](../skills/google-auth/) | Google OAuth setup, refresh tokens | Unknown · unreviewed | Unscored | Catalog only |
| [`healthcare-monitor`](../skills/healthcare-monitor/) | 医疗行业企业融资监控系统。实时监控医疗健康企业的工商变更，识别融资信号，自动推送告警。支持天眼查/企查查数据采集、AI融资判断、多渠道推送。 | Unknown · unreviewed | Unscored | Catalog only |
| [`hookify-rules`](../skills/hookify-rules/) | This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and… | Unknown · unreviewed | Unscored | Catalog only |
| [`jimeng-digital-human`](../skills/jimeng-digital-human/) | 即梦AI数字人视频生成全流程自动化。通过浏览器自动化操控 jimeng.jianying.com 数字人界面，完成角色上传、音色选择、台词填入、视频生成和下载。触发场景：用户需要生成数字人视频、即梦数字人、AI数字人口播视频、数字人视频制作。依赖 jimeng-login skill 处理登录。 | Unknown · unreviewed | Unscored | Catalog only |
| [`jimeng-login`](../skills/jimeng-login/) | 即梦AI平台(jimeng.jianying.com)浏览器登录。当需要操作即梦数字人、视频生成等功能前检测到未登录时触发。处理协议同意、抖音OAuth扫码、登录态持久化。 | Unknown · unreviewed | Unscored | Catalog only |
| [`jimeng-digital-human`](../skills/jimeng-digital-human/) | 即梦AI数字人视频生成全流程自动化。通过浏览器自动化操控 jimeng.jianying.com 数字人界面，完成角色上传、音色选择、台词填入、视频生成和下载。触发场景：用户需要生成数字人视频、即梦数字人、AI数字人口播视频、数字人视频制作。依赖 jimeng-login skill 处理登录。 | Project original · reviewed | Unscored | Catalog only |
| [`jimeng-login`](../skills/jimeng-login/) | 即梦AI平台(jimeng.jianying.com)浏览器登录。当需要操作即梦数字人、视频生成等功能前检测到未登录时触发。处理协议同意、抖音OAuth扫码、登录态持久化。 | Project original · reviewed | Unscored | Catalog only |
| [`kanxiang`](../skills/kanxiang/) | 看相分析技能。通过用户上传的人体部位图片，识别图片类型（面相/手相/体相/骨相），调用相应的相术规则知识库，结合图片内容进行专业分析。支持面相（五官、三庭、十二宫）、手相（掌线、指形、掌丘）、骨相（头骨、体骨、九骨）、体相（体型、体态、气质）的综合分析。基于《麻衣神相》《柳庄相法》《神相全编》《水镜神相》《冰鉴》等经典相书整理。 | Unknown · unreviewed | Unscored | Catalog only |
| [`liuyao`](../skills/liuyao/) | 六爻铜钱卦占卜技能。核心理念："解一卦就是传一道，说一言就是传一智"。支持真实/虚拟起卦，集成儒道哲学。 | Unknown · unreviewed | Unscored | Catalog only |
| [`liuyao-yijing`](../skills/liuyao-yijing/) | 六爻易经占卜器，基于京房纳甲体系，模拟铜钱起卦，完成纳甲装卦（天干地支、世应、六亲、六神）， 通过用神旺衰和生克制化断卦。当用户提及「六爻」「易经占卜」「铜钱起卦」「纳甲」「帮我起一卦」 「六爻预测」时触发。装卦为确定性计算 + LLM 综合断卦，无外部 API 依赖。 不适用于：梅花易数、奇门遁甲、星座运势、塔罗占卜、八字命理等其他领域 → 建议使用… | Unknown · unreviewed | Unscored | Catalog only |
catalog/skill-index.json
+364 -51
View File
@@ -51,7 +51,7 @@
"title": "Marketing, SEO & Growth"
},
{
"count": 83,
"count": 84,
"description": "Create, edit, repurpose, and publish writing, images, audio, and video.",
"emoji": "✍️",
"id": "content-media-publishing",
@@ -65,7 +65,7 @@
"title": "Sales, CRM & Customer Success"
},
{
"count": 67,
"count": 68,
"description": "Analyze markets, backtest strategies, track portfolios, and review financial risk.",
"emoji": "💹",
"id": "finance-trading-markets",
@@ -86,7 +86,7 @@
"title": "Apps & Workflow Automation"
},
{
"count": 39,
"count": 38,
"description": "Create, analyze, and publish for major Chinese-language platforms and channels.",
"emoji": "🇨🇳",
"id": "chinese-platform-workflows",
@@ -100,7 +100,7 @@
"title": "Specialized Domains & Utilities"
}
],
"inventoryCount": 816,
"inventoryCount": 817,
"inventorySemantics": "tracked physical top-level directories with SKILL.md",
"schemaVersion": 2,
"skills": [
@@ -135,8 +135,25 @@
"path": "skills/5minbtc/SKILL.md",
"portability_class": "catalog-only",
"provenance": {
"origin_kind": "unknown",
"review_state": "unreviewed"
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "aae3f692c9dedb348e35da534026281e73ebc30c",
"declared_hints": [
"Created as a first-party CQO Skill and iterated in this repository; the maintainer explicitly identifies it as an original Skill."
],
"evidence": [
"commit:aae3f692c9dedb348e35da534026281e73ebc30c",
"skills/5minbtc/SKILL.md",
"skills/5minbtc/README.md"
],
"license": {
"evidence": "LICENSE",
"spdx": "MIT"
},
"origin_kind": "project-original",
"review_state": "reviewed"
},
"review_signals": [],
"skill_id": "5minbtc",
@@ -3840,16 +3857,19 @@
},
{
"assignments": [],
"category_id": "chinese-platform-workflows",
"classification": "slug:binance-square;metadata:fallback",
"category_id": "finance-trading-markets",
"classification": "override;metadata:frontmatter",
"classification_details": {
"matched_signals": [
"binance-square"
],
"method": "slug",
"resolution_status": "priority-tie",
"review_state": "unreviewed",
"runner_ups": [
"base_candidates": [
{
"category_id": "chinese-platform-workflows",
"match_count": 1,
"matched_signals": [
"binance-square"
],
"priority": 130,
"tied_for_first": true
},
{
"category_id": "finance-trading-markets",
"match_count": 1,
@@ -3860,27 +3880,51 @@
"tied_for_first": true
}
],
"base_method": "slug",
"matched_signals": [],
"method": "override",
"rationale": "The primary outcome is contract-market research and risk-gated trade-plan analysis; Binance Square is an evidence source rather than a publishing destination.",
"resolution_status": "override",
"review_state": "unreviewed",
"runner_ups": [],
"winner": {
"category_id": "chinese-platform-workflows",
"match_count": 1,
"matched_signals": [
"binance-square"
],
"priority": 130,
"tie_detected": true
"category_id": "finance-trading-markets",
"match_count": 0,
"matched_signals": [],
"priority": 120,
"tie_detected": false
}
},
"curation": {
"runtime_evidence": "pending",
"status": "unscored"
},
"description": "从 Binance Square 热门话题排行榜获取话题列表，逐个进入话题页抓取最新帖子，提取社区交易信号、情绪方向和小币提及统计。",
"description": "币安广场合约投机雷达 v4：以最近24小时专业交易帖为主要证据，回源核验帖子， 联合币安公共合约行情、4周期K线、布林带、ATR、量能和RR，生成可审计的本地影子报告。 触发词：币安广场、扫描币安、binance square、合约机会、交易信号雷达、4小时雷达",
"description_status": "source-text",
"path": "skills/binance-square/SKILL.md",
"portability_class": "catalog-only",
"provenance": {
"origin_kind": "unknown",
"review_state": "unreviewed"
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "da4e86d351b5c8d0c3d5b2a81602b93de24fe605",
"declared_hints": [
"The v4 shadow implementation and subsequent production-gate hardening were built in this repository under the maintainer's direction."
],
"evidence": [
"commit:da4e86d351b5c8d0c3d5b2a81602b93de24fe605",
"commit:437b26c2f3146c61cf9cab6799ac7f01ca659af1",
"commit:2f733c5f97c7783c314878b5b3ea3ed39117c9ab",
"skills/binance-square/SKILL.md",
"skills/binance-square/OPTIMIZATION_VERIFICATION.md"
],
"license": {
"evidence": "LICENSE",
"spdx": "MIT"
},
"origin_kind": "project-original",
"review_state": "reviewed"
},
"review_signals": [],
"skill_id": "binance-square",
@@ -6878,8 +6922,24 @@
"path": "skills/content-cover-gen/SKILL.md",
"portability_class": "harness-specific",
"provenance": {
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@@ -7051,8 +7111,24 @@
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@@ -9081,8 +9157,25 @@
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@@ -9130,8 +9223,25 @@
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@@ -9296,14 +9406,89 @@
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@@ -15933,8 +16134,24 @@
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@@ -15968,8 +16185,24 @@
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@@ -18524,8 +18757,24 @@
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@@ -23602,8 +23851,24 @@
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@@ -23641,8 +23906,24 @@
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@@ -33287,8 +33568,24 @@
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View File
@@ -2,8 +2,8 @@
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config/skill-provenance.json
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@@ -196,6 +196,166 @@
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"local_tree_digest": "sha256:cc9a73737201023d8b79fdb6686d0a359da0a3fc32b007c3a04e808217b9ba4f",
"declared_hints": ["The creation commit identifies this batch as self-built content tools."],
"evidence": ["commit:cecc3e42d4b3e1cafd18ea46b82a04b990680850", "skills/relay-image-gen/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "relay-video-gen",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:b4c582898020b7a021db9b7828606dace1800f455d76d7f3375fea094bd00712",
"declared_hints": ["The creation commit identifies this batch as self-built content tools."],
"evidence": ["commit:cecc3e42d4b3e1cafd18ea46b82a04b990680850", "skills/relay-video-gen/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "douyin-smart-publish",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "3ab7cdfc8db464b3cc6fdc4775d70d4bf1e32fa1",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:5fe4a13828b3f00bf8de704284170a503643e95b2df285c239001836b6bf6547",
"declared_hints": ["The Skill declares Daniel Li as author and was retained by the historical conservative original-Skills index."],
"evidence": ["commit:3ab7cdfc8db464b3cc6fdc4775d70d4bf1e32fa1", "skills/douyin-smart-publish/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "weixin-channels-publish",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:d688d82795c9d2b2cfae4edffca7bda1647efaee285b0d5e6e2fb08902c90876",
"declared_hints": ["Created in the maintainer's first-party Jimeng and publishing workflow commit and retained by the historical conservative original-Skills index."],
"evidence": ["commit:02262c4ef67b43de4622652f0c10a4718ed3715d", "skills/weixin-channels-publish/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "meta-cognition",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "8b4010dd6c07cb9809363bd7e733fce70e2992ca",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:5b10ca945c7d36e9344659bcc28f9bfa80288775ba115091a2be852137a5630c",
"declared_hints": ["Created by the maintainer and retained by the historical conservative original-Skills index."],
"evidence": ["commit:8b4010dd6c07cb9809363bd7e733fce70e2992ca", "skills/meta-cognition/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "jimeng-login",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:c5dbc56c86d5067c61552820cdcee81c420b4ab6bc3db1e5e19cc338cd4df78b",
"declared_hints": ["Created in the maintainer's first-party Jimeng workflow commit and retained by the historical conservative original-Skills index."],
"evidence": ["commit:02262c4ef67b43de4622652f0c10a4718ed3715d", "skills/jimeng-login/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "jimeng-digital-human",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:a059dbbd44070620d4d144dbad6a4c814676073e468d02f67c023694778de885",
"declared_hints": ["Created in the maintainer's first-party Jimeng workflow commit and retained by the historical conservative original-Skills index."],
"evidence": ["commit:02262c4ef67b43de4622652f0c10a4718ed3715d", "skills/jimeng-digital-human/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
},
{
"skill_id": "video-merge-send",
"origin_kind": "project-original", "review_state": "reviewed",
"authors": ["Daniel Li"],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"license": {"spdx": "MIT", "evidence": "LICENSE"},
"local_tree_digest": "sha256:3f76f0b44fa8446f1ddbaa17754ee53e0864a0c25287b37e5cff7a6221768203",
"declared_hints": ["Created in the maintainer's first-party Jimeng workflow commit and retained by the historical conservative original-Skills index."],
"evidence": ["commit:02262c4ef67b43de4622652f0c10a4718ed3715d", "skills/video-merge-send/SKILL.md", "git:502532541732a2b2083c6e591f272cc31684e749:skills/docs/original-skills.md"]
}
]
}
config/skill-taxonomy.json
+2
View File
@@ -135,6 +135,7 @@
"ai-trader-arena": "finance-trading-markets",
"backtest-expert": "finance-trading-markets",
"backtesting-frameworks": "finance-trading-markets",
"binance-square": "finance-trading-markets",
"bash-pro": "software-engineering",
"bazi-fortune": "general-utilities",
"clanker": "finance-trading-markets",
@@ -159,6 +160,7 @@
"ai-trader-arena": "The core outcome is market strategy evaluation despite the generic agent suffix.",
"backtest-expert": "Backtesting is a finance and market-risk workflow in this repository.",
"backtesting-frameworks": "The entrypoint is organized around trading strategy evaluation and market risk.",
"binance-square": "The primary outcome is contract-market research and risk-gated trade-plan analysis; Binance Square is an evidence source rather than a publishing destination.",
"bash-pro": "The skill teaches shell implementation and developer tooling rather than generic utilities.",
"bazi-fortune": "This specialized cultural domain has no narrower supported outcome category.",
"clanker": "The skill performs token and market actions, so finance risk is the primary route.",
config/team-manifest.json
+1 -1
View File
@@ -3,7 +3,7 @@
"schemaVersion": 1,
"inventory": {
"agentCount": 14,
"physicalSkillCount": 816,
"physicalSkillCount": 817,
"skillEntrypoint": "SKILL.md",
"symlinkPolicy": "forbid"
},
package.json
+5 -2
View File
@@ -37,6 +37,7 @@
"plugins/agi-super-team-codex/skills/*/references/",
"plugins/agi-super-team-codex/skills/*/scripts/*.py",
"skills/*/SKILL.md",
"skills/original/",
"skills/accessibility-compliance-accessibility-audit/",
"skills/account-executive/",
"skills/ai-marketing-videos/",
@@ -232,8 +233,10 @@
"check:subagent-sources": "python3 scripts/build_executive_subagent_sources.py --check",
"build:codex-team": "python3 scripts/build_codex_csuite_adapter.py",
"check:codex-team": "python3 scripts/build_codex_csuite_adapter.py --check",
"build:skills": "python3 scripts/build_skill_catalog.py",
"check:skills": "python3 scripts/build_skill_catalog.py --check",
"build:skills": "python3 scripts/build_skill_catalog.py && python3 scripts/build_original_skills_index.py",
"check:skills": "python3 scripts/build_skill_catalog.py --check && python3 scripts/build_original_skills_index.py --check",
"build:original-skills": "python3 scripts/build_original_skills_index.py",
"check:original-skills": "python3 scripts/build_original_skills_index.py --check",
"build:skill-quality": "python3 scripts/audit_skill_quality.py",
"check:skill-quality": "python3 scripts/audit_skill_quality.py --check",
"build:taxonomy-evaluation": "python3 scripts/build_skill_taxonomy_evaluation.py",
scripts/build_original_skills_index.py
+171
View File
@@ -0,0 +1,171 @@
#!/usr/bin/env python3
"""Build the reviewed first-party Skill collection from provenance evidence."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
PROVENANCE_PATH = Path("config/skill-provenance.json")
CATALOG_PATH = Path("catalog/skill-index.json")
README_PATH = Path("skills/original/README.md")
INDEX_PATH = Path("skills/original/index.json")
def _load_object(path: Path) -> dict[str, Any]:
value = json.loads(path.read_text(encoding="utf-8"))
if not isinstance(value, dict):
raise ValueError(f"{path} must contain a JSON object")
return value
def build_index(root: Path) -> dict[str, Any]:
provenance = _load_object(root / PROVENANCE_PATH)
catalog = _load_object(root / CATALOG_PATH)
catalog_skills = {item["skill_id"]: item for item in catalog["skills"]}
category_order = {
item["id"]: position for position, item in enumerate(catalog["categories"])
}
category_metadata = {item["id"]: item for item in catalog["categories"]}
entries: list[dict[str, Any]] = []
seen: set[str] = set()
for evidence in provenance["entries"]:
if not (
evidence["origin_kind"] == "project-original"
and evidence["review_state"] == "reviewed"
):
continue
skill_id = evidence["skill_id"]
if skill_id in seen:
raise ValueError(f"duplicate reviewed original Skill: {skill_id}")
seen.add(skill_id)
skill_root = root / "skills" / skill_id
entrypoint = skill_root / "SKILL.md"
if not entrypoint.is_file() or skill_root.is_symlink():
raise ValueError(f"reviewed original is not a physical Skill: {skill_id}")
catalog_entry = catalog_skills.get(skill_id)
if catalog_entry is None:
raise ValueError(f"reviewed original is missing from catalog: {skill_id}")
entries.append(
{
"skill_id": skill_id,
"path": f"skills/{skill_id}/SKILL.md",
"description": catalog_entry["description"],
"authors": evidence["authors"],
"creation_commit": evidence["creation_commit"],
"category_id": catalog_entry["category_id"],
}
)
entries.sort(key=lambda item: item["skill_id"])
counts: dict[str, int] = {}
for entry in entries:
category_id = entry["category_id"]
counts[category_id] = counts.get(category_id, 0) + 1
categories = []
for category_id in sorted(counts, key=lambda value: category_order[value]):
metadata = category_metadata[category_id]
categories.append(
{
"id": category_id,
"name": metadata["title"],
"emoji": metadata["emoji"],
"count": counts[category_id],
}
)
return {
"schemaVersion": 1,
"scope": "reviewed-project-original-skills",
"generatedFrom": str(PROVENANCE_PATH),
"inventoryCount": len(entries),
"categories": categories,
"skills": entries,
}
def render_readme(index: dict[str, Any]) -> str:
categories = {item["id"]: item for item in index["categories"]}
by_category: dict[str, list[dict[str, Any]]] = {
item["id"]: [] for item in index["categories"]
}
for entry in index["skills"]:
by_category[entry["category_id"]].append(entry)
lines = [
"<!-- Generated by scripts/build_original_skills_index.py. Do not edit by hand. -->",
"",
"# 🌟 Daniel 的原创 Skills",
"",
"这里收录经 `config/skill-provenance.json` 审查为 `project-original + reviewed` 的第一方 Skills。",
"",
f"当前共 **{index['inventoryCount']}** 个。目录是索引视图；Skill 仍保留在 `skills/<skill-id>/` 的规范位置，避免复制、漂移和重复加载。",
"",
"> 原创身份只说明可审计的作者与来源，不代表已经通过生产运行、投资有效性或跨平台兼容性验证。",
"",
"候选检索范围与暂不收录原因见 [`CANDIDATE_AUDIT.md`](./CANDIDATE_AUDIT.md)。",
"",
]
for category in index["categories"]:
category_id = category["id"]
lines.extend(
[
f"## {category['emoji']} {category['name']}（{category['count']}）",
"",
]
)
for entry in by_category[category_id]:
description = " ".join(str(entry["description"]).split())
authors = "、".join(entry["authors"])
lines.append(
f"- [`{entry['skill_id']}`](../{entry['skill_id']}/) — {description}（作者：{authors}）"
)
lines.append("")
lines.extend(
[
"## 收录规则",
"",
"- 必须是仓库中存在的物理 Skill，不能是本机软链接。",
"- 必须有作者、创建提交、许可证和当前树摘要证据。",
"- 仅有 `author` 字段、提交者身份或旧手写清单不足以自动晋级。",
"- 外部改编和收集型 Skill 保留在总目录，不进入本原创分类。",
"",
]
)
return "\n".join(lines)
def _documents(root: Path) -> dict[Path, str]:
index = build_index(root)
return {
root / INDEX_PATH: json.dumps(index, ensure_ascii=False, indent=2) + "\n",
root / README_PATH: render_readme(index),
}
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--root", type=Path, default=Path(__file__).resolve().parents[1])
parser.add_argument("--check", action="store_true")
args = parser.parse_args(argv)
root = args.root.resolve()
documents = _documents(root)
stale: list[str] = []
for path, expected in documents.items():
if args.check:
if not path.is_file() or path.read_text(encoding="utf-8") != expected:
stale.append(str(path.relative_to(root)))
else:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(expected, encoding="utf-8")
if stale:
print("stale generated original Skill index: " + ", ".join(stale))
return 1
return 0
if __name__ == "__main__":
raise SystemExit(main())
scripts/build_skill_catalog.py
+2
View File
@@ -501,6 +501,8 @@ def render_markdown(entries: list[SkillEntry], taxonomy: dict[str, Any]) -> str:
"",
"**Curation evidence:** origin labels and the separate **Curation evidence score** come from reviewed authored contracts. `Unknown` and `Unscored` are honest defaults; runtime evidence remains a separate field. See the [methodology](../docs/skill-provenance-and-scoring.md).",
"",
"**First-party collection:** browse the generated [Daniel's Original Skills](../skills/original/) view. It includes only digest-backed `project-original + reviewed` provenance and does not imply runtime verification.",
"",
"## 🚀 Selected starting points",
"",
"Only digest-matched, structurally valid Skills with reviewed provenance and a Curation evidence score of at least 75 appear here. Selection is not runtime verification.",
skills/README.md
+1
View File
@@ -14,6 +14,7 @@ Start with a small team pack when possible. A large inventory improves coverage,
| Research, draft, and measure | [Content Creator](../starter-kits/content-creator/) | Drafting workflow; publishing remains human-controlled |
| Backtest with risk review | [Quant Trader](../starter-kits/quant-trader/) | Research only; no live-trading claim |
| Use native Codex workflows | [Codex package](../.codex/INDEX.md) | Separate curated distribution and sync policy |
| Browse first-party methods | [Daniel's Original Skills](./original/) | Reviewed authorship and provenance; runtime evidence remains separate |
## 👥 Skills and C-suite specialists
skills/daniel-x-writer/SKILL.md
+8 -1
View File
@@ -1,6 +1,7 @@
---
name: daniel-x-writer
description: "Write and rewrite concise Chinese X/Twitter posts in Daniel's authentic first-person voice: human emotion, restrained agent personification, numerical evidence, explicit action and invalidation rules, and a sharp reflective ending. Use for crypto or quant trading reviews, AI/agent observations, technical lessons, founder reflections, and any request to shorten, humanize, or fit a post within X's character limit."
description: "Use for concise Chinese X/Twitter posts in Daniel's first-person voice, mixing human tension, numerical evidence, explicit decision rules, and a sharp reflective ending."
metadata: {"runtime_effects":"local-read-only; does not publish or call network services"}
---
# Daniel X Writer
@@ -43,6 +44,12 @@ python3 scripts/check_x_length.py /absolute/path/to/draft.txt
The checker deliberately overcounts non-ASCII characters and URLs conservatively. If it reports `over`, shorten the post and rerun it. Treat the final X composer as authoritative when available.
Run its local regression tests after changing the checker:
```bash
python3 -m unittest scripts/test_check_x_length.py
```
## Truth and risk rules
- Separate what happened before the decision from what happened afterward.
skills/daniel-x-writer/scripts/test_check_x_length.py
+52
View File
@@ -0,0 +1,52 @@
#!/usr/bin/env python3
"""Regression tests for the conservative X length checker."""
from __future__ import annotations
import importlib.util
import json
import subprocess
import sys
import tempfile
import unittest
from pathlib import Path
SCRIPT = Path(__file__).with_name("check_x_length.py")
SPEC = importlib.util.spec_from_file_location("check_x_length", SCRIPT)
assert SPEC and SPEC.loader
CHECKER = importlib.util.module_from_spec(SPEC)
SPEC.loader.exec_module(CHECKER)
class WeightedLengthTests(unittest.TestCase):
def test_counts_ascii_non_ascii_and_urls_conservatively(self) -> None:
self.assertEqual(CHECKER.weighted_length("A币"), 3)
self.assertEqual(CHECKER.weighted_length("看 https://example.com/long/path"), 26)
def test_cli_reports_safe_and_over_statuses(self) -> None:
with tempfile.TemporaryDirectory() as directory:
draft = Path(directory) / "draft.txt"
draft.write_text("短帖", encoding="utf-8")
safe = subprocess.run(
[sys.executable, str(SCRIPT), str(draft), "--limit", "6", "--target", "4"],
capture_output=True,
check=False,
text=True,
)
self.assertEqual(safe.returncode, 0, safe.stderr)
self.assertEqual(json.loads(safe.stdout)["status"], "safe")
draft.write_text("超长内容", encoding="utf-8")
over = subprocess.run(
[sys.executable, str(SCRIPT), str(draft), "--limit", "6", "--target", "4"],
capture_output=True,
check=False,
text=True,
)
self.assertEqual(over.returncode, 2, over.stderr)
self.assertEqual(json.loads(over.stdout)["status"], "over")
if __name__ == "__main__":
unittest.main()
skills/original/CANDIDATE_AUDIT.md
+33
View File
@@ -0,0 +1,33 @@
# 原创 Skills 候选审计
审计日期：2026-08-02
本审计用于解释首批原创分类的收录边界。它不替代 `config/skill-provenance.json`；机器索引仍只接受 `project-original + reviewed`。
## 已使用的证据
- 当前正式 provenance 合同中的已审查第一方条目。
- 创建提交 `cecc3e42…` 中明确标记为 self-built 的内容工具与三条自媒体日更链路。
- 创建提交 `02262c4e…` 中的即梦、视频合并和视频号发布链路。
- 历史保守原创清单 `50253254…:skills/docs/original-skills.md`。
- `5minbtc` 的首个创建提交 `aae3f692…` 及后续仓库内迭代历史。
- Binance Square v4 的实现、优化提交和独立验证记录。
- `daniel-x-writer` 的完整个人 Skill 目录、风格样例、长度检查器及本次规范化同步提交。
## 首批结果
- 收录 32 个强证据原创 Skills。
- 明确包含 `binance-square`、`5minbtc`、`daniel-x-writer`、`daily-gzh-content`、`daily-xhs-content`、`daily-douyin-content`。
- 原创目录是索引视图，不复制第二份 Skill 内容；规范源仍为 `skills/<skill-id>/`。
## 暂不晋级的相邻候选
| 候选 | 当前处理 | 原因 |
|---|---|---|
| `btc-5min-scalper` | 待审计 | 与 `5minbtc` 功能相邻，但尚未确认是独立原创、派生版本还是外部收集。 |
| `xhs-content-creator` | 排除 | 目录带外部 registry 来源记录，不能仅凭本地出现或作者提示改写为原创。 |
| `wechat-ai-radar` | 待审计 | 有产品相关性，但缺少创建提交、当前树摘要和明确作者链。 |
| `wechat-article-writer`、`xhs-writing-coach`、`cross-platform-poster` | 待审计 | 曾出现在更宽松的历史手写清单或带作者提示；按当前规则，这些都只是线索。 |
| 旧 Platform / Agent Operations 批次 | 待审计 | 批量添加 `author` 字段不能证明没有上游来源，需逐项核验提交前内容和许可证。 |
新增候选必须先补齐作者、创建提交、许可证、当前树摘要和来源证据，然后由生成器自动进入原创分类。不得手改 `README.md` 或 `index.json` 绕过 provenance。
skills/original/README.md
+83
View File
@@ -0,0 +1,83 @@
<!-- Generated by scripts/build_original_skills_index.py. Do not edit by hand. -->
# 🌟 Daniel 的原创 Skills
这里收录经 `config/skill-provenance.json` 审查为 `project-original + reviewed` 的第一方 Skills。
当前共 **32** 个。目录是索引视图；Skill 仍保留在 `skills/<skill-id>/` 的规范位置，避免复制、漂移和重复加载。
> 原创身份只说明可审计的作者与来源，不代表已经通过生产运行、投资有效性或跨平台兼容性验证。
候选检索范围与暂不收录原因见 [`CANDIDATE_AUDIT.md`](./CANDIDATE_AUDIT.md)。
## 🤖 AI Agents & Orchestration（2）
- [`meta-cognition`](../meta-cognition/) — Meta-cognitive framing for analyze-before-doing, ownership routing, risk gating, minimum-closure planning, and retrospective extraction in multi-agent work. Use when the user…（作者：Daniel Li）
- [`orchestrate-agi-super-team`](../orchestrate-agi-super-team/) — 按 Team→C-suite→Skills/直属 Subagents→Governor→CEO→人工批准契约编排 AGI Super Team。适用于用户要求跨职能团队、专家委派、独立复核，或需在 Claude Code、Codex、OpenClaw、Hermes 中选择真实执行方式；单领域一步任务不要启用。（作者：Daniel Li、AGI Super Team contributors）
## ☁️ Cloud, DevOps & Reliability（2）
- [`incident-command-and-review`](../incident-command-and-review/) — 建立只读事件态势、明确指挥角色、组织决策节奏、定义恢复标准，并在稳定后完成无责复盘与纠正措施复验。用于服务异常、业务中断、安全或数据事件的协调与复盘；不用于直接修改生产环境、部署修复、使用凭证、对外通知、替技术负责人诊断实现，或未经人类批准执行任何高风险动作。（作者：Daniel Li、AGI Super Team contributors）
- [`sre-reliability-governance`](../sre-reliability-governance/) — 为服务或平台设计可审查的可靠性治理方案，覆盖用户旅程 SLI/SLO、错误预算政策、容量模型、依赖与故障域、韧性和恢复、事故准备、变更风险分级及验证门。用于新服务上线前可靠性评审、重大架构或迁移设计、SLO/错误预算建立与复核、容量和灾备规划、事故准备度检查；不用于直接排障、部署、修改监控或操作生产系统。（作者：Daniel Li、AGI Super Team contributors）
## 📊 Data, Analytics & Research（1）
- [`research-evidence-synthesis`](../research-evidence-synthesis/) — 为重要决策设计可证伪研究问题、检索协议、证据台账、反证矩阵、不确定性说明和带引用的综合结论。适用于比较竞争性解释、审查多来源主张、建立证据图或决定下一步研究；不用于无需研究的稳定常识、单纯数据查询、伪造来源，或未经授权购买资料、联系研究对象和访问受限内容。（作者：Daniel Li、AGI Super Team contributors）
## 🛡️ Security, Privacy & Legal（2）
- [`data-contract-quality-governance`](../data-contract-quality-governance/) — 为共享数据集、事件流、指标、主数据或数据产品设计可审查的数据治理方案，覆盖数据契约、质量维度与 SLO、字段到消费端血缘、语义和主数据、隐私与用途限制、保留删除、质量事故、模式演进和退役。用于新数据产品上线、生产者与消费者契约、指标口径冲突、数据质量评审、血缘与影响分析、隐私生命周期审查；不用于直接抓取数据、连接生产库、修改管线或处理真实个人数据。（作者：Daniel Li、AGI Super Team contributors）
- [`legal-issue-spotting`](../legal-issue-spotting/) — 按主体、司法辖区、事实和时间识别合同、隐私、知识产权、消费者、广告、劳动、公司治理或跨境事项的法律问题，形成权威依据、风险选项、残余风险和当地专业律师交接包。适用于行动前法律风险初筛与法务 intake；不用于出具正式法律意见、替代律师、保证合法合规、代表客户、签署发送合同或执行备案申报。（作者：Daniel Li、AGI Super Team contributors）
## 📈 Marketing, SEO & Growth（1）
- [`positioning-growth-experiment-system`](../positioning-growth-experiment-system/) — 基于真实市场、受众与产品证据设计定位、信息架构、渠道组合、增长实验和增量测量。用于市场细分、品牌定位、价值主张、渠道选择、活动实验、SEO/GEO 方向、归因复盘或扩张/停止决策；不要用于直接制作大量内容、自动发布、投放广告、群发消息、购买流量、修改产品事实或在证据不足时宣称 ROI、CAC 和增长因果。（作者：Daniel Li、AGI Super Team contributors）
## ✍️ Content, Media & Publishing（9）
- [`content-cover-gen`](../content-cover-gen/) — 内容驱动封面生成:从文章标题/核心观点自动生成视觉隐喻提示词,调用 relay-image-gen 出图。 每张封面3秒内传达文章核心观点,杜绝通用背景。 支持小红书(3:4)、抖音(9:16)、公众号(16:9)、知识星球(1:1)、掘金(16:9)。 触发:'生成封面'、'封面生成'、'cover'、'thumbnail'、'封面图'、'缩略图'。（作者：Daniel Li）
- [`content-illustration-strategy`](../content-illustration-strategy/) — 文章配图决策 skill：根据文章内容判断该配什么图、图从哪里来、什么时候该用 Telegram 真实对话截图，什么时候该用工具界面图、官网图、生成插图或流程图。 适用于公众号、小红书长图文、知识星球、掘金、博客等内容配图。触发词包括：'配图'、'插图'、'素材图'、'这篇文章该配什么图'、'截图进素材库'、'给这篇稿子补图'、'根据内容选图'。（作者：Daniel Li）
- [`content-typography`](../content-typography/) — 这不是“选个字体” skill。（作者：Daniel Li）
- [`daniel-x-writer`](../daniel-x-writer/) — Use for concise Chinese X/Twitter posts in Daniel's first-person voice, mixing human tension, numerical evidence, explicit decision rules, and a sharp reflective ending.（作者：Daniel Li、AGI Super Team contributors）
- [`editorial-content-system`](../editorial-content-system/) — 为组织设计或审计内容战略、编辑组合、内容 brief、主张来源与素材权利清单、生产质量门、发布交接和实验复盘。适用于搭建可持续内容生产系统、定义编辑标准、治理多渠道母版和修复内容流程失控；不用于只改一句文案、决定营销投放/渠道增长、登录账号或自动发布内容。（作者：Daniel Li、AGI Super Team contributors）
- [`jimeng-storyboard`](../jimeng-storyboard/) — 将口播视频剧本拆解为即梦AI数字人平台的分镜头脚本。输出格式为每个镜头的角色说（台词）和动作描述（镜头语言/数字人动作），适配即梦 jimeng.jianying.com 数字人视频生成界面。触发场景：用户需要生成口播视频分镜、数字人视频剧本拆解、即梦分镜脚本、短视频口播脚本分镜、数字人台词加动作拆分。（作者：Daniel Li）
- [`relay-image-gen`](../relay-image-gen/) — Multi-provider image generation with automatic priority fallback（作者：Daniel Li）
- [`relay-video-gen`](../relay-video-gen/) — Multi-provider video generation with async polling and automatic model fallback（作者：Daniel Li）
- [`video-merge-send`](../video-merge-send/) — 合并多个分段视频为一个完整视频，并发送到飞书。使用ffmpeg拼接视频片段，支持淡入淡出转场。触发场景：用户需要合并视频片段、拼接分镜视频、视频合并后发飞书、把多个短视频合成一个、分段视频合并发送。配合 jimeng-storyboard skill 使用，完成数字人视频全流程。（作者：Daniel Li）
## 🤝 Sales, CRM & Customer Success（1）
- [`revenue-opportunity-governance`](../revenue-opportunity-governance/) — 将销售线索和客户对话治理为有证据的发现、资格、机会阶段、方案、预测、谈判和客户成功交接。用于机会审查、发现准备、资格判断、管道复盘、提案协调、谈判准备、预测校准、失单复盘或成交后交接；不要用于自动外联、群发、写入 CRM、报价、折扣、签约、抓取个人资料、承诺产品/交期/条款，也不要把回复、会议、试用或口头兴趣冒充成交。（作者：Daniel Li、AGI Super Team contributors）
## 💹 Finance, Trading & Markets（4）
- [`5minbtc`](../5minbtc/) — BTC 5分钟K线实时方向预测。v5.7.3引擎HTTP并行化(4路ThreadPoolExecutor→~3s,原12-18s)。半K线策略——第2分钟执行(progress~40%)，12正交因子含half_body实体延续+momentum/decel冲突降权+V反转+放量突破+Chainlink价格对齐+Platt…（作者：Daniel Li、AGI Super Team contributors）
- [`binance-square`](../binance-square/) — 币安广场合约投机雷达 v4：以最近24小时专业交易帖为主要证据，回源核验帖子， 联合币安公共合约行情、4周期K线、布林带、ATR、量能和RR，生成可审计的本地影子报告。 触发词：币安广场、扫描币安、binance square、合约机会、交易信号雷达、4小时雷达（作者：Daniel Li、AGI Super Team contributors）
- [`financial-planning-and-analysis`](../financial-planning-and-analysis/) — 为经营决策建立可复算的预算、滚动预测、现金跑道、三表连接、单位经济、实际预算差异、情景敏感性和资本配置备忘录。适用于业务规划、资源分配、定价经济性与下行评估；不用于代替会计税务审计意见、个人化投资建议、保证收益融资估值，或执行付款、转账、交易、借贷、开户和报税。（作者：Daniel Li、AGI Super Team contributors）
- [`product-discovery-portfolio-governance`](../product-discovery-portfolio-governance/) — 将模糊产品想法、客户请求或路线图争议转化为有证据的用户机会、产品组合取舍和阶段门决策。用于产品发现、机会评估、组合优先级、MVP 范围、路线图审查、发布前准备或继续/调整/停止决策；不要用于直接决定技术架构、营销投放、销售承诺、价格、法律结论，也不要把无研究证据的功能清单包装成产品战略。（作者：Daniel Li、AGI Super Team contributors）
## 🧭 Business Operations & Strategy（2）
- [`executive-decision-system`](../executive-decision-system/) — 将模糊的公司级议题转成可追溯的战略选择、资源配置和复查机制。用于重大方向选择、业务组合取舍、跨职能优先级冲突、进入或退出市场、年度或季度重点决策；不用于日常项目排期、流程优化、专业领域定论或对已完成工作的独立验收。（作者：Daniel Li、AGI Super Team contributors）
- [`independent-assurance-gate`](../independent-assurance-gate/) — 独立审查重要完成声明，建立声明—证据映射，寻找反例，校准严重度并给出通过、有条件通过、阻断或待验证结论。用于发布前验收、高风险变更、跨角色交付、外部结果声明和整改复验；不用于审查者自己的主要实现、替领域负责人设计方案、替 CEO 作资源取舍或替人类接受现实风险。（作者：Daniel Li、AGI Super Team contributors）
## 🇨🇳 Chinese Platform Workflows（5）
- [`daily-douyin-content`](../daily-douyin-content/) — 你是 CCO，Daniel Li 的内容 Agent。（作者：Daniel Li、AGI Super Team contributors）
- [`daily-gzh-content`](../daily-gzh-content/) — 公众号每日内容生产：选题→创作→素材生成→质量检查→保存→发布草稿（作者：Daniel Li、AGI Super Team contributors）
- [`daily-xhs-content`](../daily-xhs-content/) — 你是 CCO，Daniel Li 的内容 Agent。（作者：Daniel Li、AGI Super Team contributors）
- [`douyin-smart-publish`](../douyin-smart-publish/) — 抖音创作者平台智能发布（视频/图文）：内容适配→上传→填描述/#话题→封面→存草稿→截图回传确认。默认只存草稿；只有在 Daniel 明确确认后才允许点击发布。覆盖标题(≤55字)、描述(建议≤200字)、#话题标签(3-5个)、封面设置、定时发布、可见性、合拍/下载开关。Playwright 自动化。触发：'发抖音'、'抖音发布'、'douyin…（作者：Daniel Li）
- [`weixin-channels-publish`](../weixin-channels-publish/) — 微信视频号助手网页版视频发布全流程。通过浏览器自动化操控 channels.weixin.qq.com 完成登录检测、扫码登录、上传视频、填写描述和短标题、截图确认后发布或保存草稿。触发场景：用户需要发布视频到视频号、视频号发布、视频号上传视频、发视频号。（作者：Daniel Li）
## 🧰 Specialized Domains & Utilities（3）
- [`jimeng-digital-human`](../jimeng-digital-human/) — 即梦AI数字人视频生成全流程自动化。通过浏览器自动化操控 jimeng.jianying.com 数字人界面，完成角色上传、音色选择、台词填入、视频生成和下载。触发场景：用户需要生成数字人视频、即梦数字人、AI数字人口播视频、数字人视频制作。依赖 jimeng-login skill 处理登录。（作者：Daniel Li）
- [`jimeng-login`](../jimeng-login/) — 即梦AI平台(jimeng.jianying.com)浏览器登录。当需要操作即梦数字人、视频生成等功能前检测到未登录时触发。处理协议同意、抖音OAuth扫码、登录态持久化。（作者：Daniel Li）
- [`operating-cadence-and-flow`](../operating-cadence-and-flow/) — 把已确认的战略或经营目标转成端到端价值流、责任接口、产能约束、运营节奏和异常恢复机制。用于跨团队交付卡顿、责任不清、等待返工过多、运营指标失效、重复流程需要标准化；不用于重新选择公司战略、替专业角色设计方案、一次性简单任务或独立批准完成声明。（作者：Daniel Li、AGI Super Team contributors）
## 收录规则
- 必须是仓库中存在的物理 Skill，不能是本机软链接。
- 必须有作者、创建提交、许可证和当前树摘要证据。
- 仅有 `author` 字段、提交者身份或旧手写清单不足以自动晋级。
- 外部改编和收集型 Skill 保留在总目录，不进入本原创分类。
skills/original/index.json
+416
View File
@@ -0,0 +1,416 @@
{
"schemaVersion": 1,
"scope": "reviewed-project-original-skills",
"generatedFrom": "config/skill-provenance.json",
"inventoryCount": 32,
"categories": [
{
"id": "ai-agents-orchestration",
"name": "AI Agents & Orchestration",
"emoji": "🤖",
"count": 2
},
{
"id": "cloud-devops-reliability",
"name": "Cloud, DevOps & Reliability",
"emoji": "☁️",
"count": 2
},
{
"id": "data-analytics-research",
"name": "Data, Analytics & Research",
"emoji": "📊",
"count": 1
},
{
"id": "security-privacy-legal",
"name": "Security, Privacy & Legal",
"emoji": "🛡️",
"count": 2
},
{
"id": "marketing-seo-growth",
"name": "Marketing, SEO & Growth",
"emoji": "📈",
"count": 1
},
{
"id": "content-media-publishing",
"name": "Content, Media & Publishing",
"emoji": "✍️",
"count": 9
},
{
"id": "sales-crm-customer-success",
"name": "Sales, CRM & Customer Success",
"emoji": "🤝",
"count": 1
},
{
"id": "finance-trading-markets",
"name": "Finance, Trading & Markets",
"emoji": "💹",
"count": 4
},
{
"id": "business-operations-strategy",
"name": "Business Operations & Strategy",
"emoji": "🧭",
"count": 2
},
{
"id": "chinese-platform-workflows",
"name": "Chinese Platform Workflows",
"emoji": "🇨🇳",
"count": 5
},
{
"id": "general-utilities",
"name": "Specialized Domains & Utilities",
"emoji": "🧰",
"count": 3
}
],
"skills": [
{
"skill_id": "5minbtc",
"path": "skills/5minbtc/SKILL.md",
"description": "BTC 5分钟K线实时方向预测。v5.7.3引擎HTTP并行化(4路ThreadPoolExecutor→~3s,原12-18s)。半K线策略——第2分钟执行(progress~40%)，12正交因子含half_body实体延续+momentum/decel冲突降权+V反转+放量突破+Chainlink价格对齐+Platt…",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "aae3f692c9dedb348e35da534026281e73ebc30c",
"category_id": "finance-trading-markets"
},
{
"skill_id": "binance-square",
"path": "skills/binance-square/SKILL.md",
"description": "币安广场合约投机雷达 v4：以最近24小时专业交易帖为主要证据，回源核验帖子， 联合币安公共合约行情、4周期K线、布林带、ATR、量能和RR，生成可审计的本地影子报告。 触发词：币安广场、扫描币安、binance square、合约机会、交易信号雷达、4小时雷达",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "da4e86d351b5c8d0c3d5b2a81602b93de24fe605",
"category_id": "finance-trading-markets"
},
{
"skill_id": "content-cover-gen",
"path": "skills/content-cover-gen/SKILL.md",
"description": "内容驱动封面生成:从文章标题/核心观点自动生成视觉隐喻提示词,调用 relay-image-gen 出图。 每张封面3秒内传达文章核心观点,杜绝通用背景。 支持小红书(3:4)、抖音(9:16)、公众号(16:9)、知识星球(1:1)、掘金(16:9)。 触发:'生成封面'、'封面生成'、'cover'、'thumbnail'、'封面图'、'缩略图'。",
"authors": [
"Daniel Li"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "content-media-publishing"
},
{
"skill_id": "content-illustration-strategy",
"path": "skills/content-illustration-strategy/SKILL.md",
"description": "文章配图决策 skill：根据文章内容判断该配什么图、图从哪里来、什么时候该用 Telegram 真实对话截图，什么时候该用工具界面图、官网图、生成插图或流程图。 适用于公众号、小红书长图文、知识星球、掘金、博客等内容配图。触发词包括：'配图'、'插图'、'素材图'、'这篇文章该配什么图'、'截图进素材库'、'给这篇稿子补图'、'根据内容选图'。",
"authors": [
"Daniel Li"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "content-media-publishing"
},
{
"skill_id": "content-typography",
"path": "skills/content-typography/SKILL.md",
"description": "这不是“选个字体” skill。",
"authors": [
"Daniel Li"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "content-media-publishing"
},
{
"skill_id": "daily-douyin-content",
"path": "skills/daily-douyin-content/SKILL.md",
"description": "你是 CCO，Daniel Li 的内容 Agent。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "chinese-platform-workflows"
},
{
"skill_id": "daily-gzh-content",
"path": "skills/daily-gzh-content/SKILL.md",
"description": "公众号每日内容生产：选题→创作→素材生成→质量检查→保存→发布草稿",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "chinese-platform-workflows"
},
{
"skill_id": "daily-xhs-content",
"path": "skills/daily-xhs-content/SKILL.md",
"description": "你是 CCO，Daniel Li 的内容 Agent。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "chinese-platform-workflows"
},
{
"skill_id": "daniel-x-writer",
"path": "skills/daniel-x-writer/SKILL.md",
"description": "Use for concise Chinese X/Twitter posts in Daniel's first-person voice, mixing human tension, numerical evidence, explicit decision rules, and a sharp reflective ending.",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "2f733c5f97c7783c314878b5b3ea3ed39117c9ab",
"category_id": "content-media-publishing"
},
{
"skill_id": "data-contract-quality-governance",
"path": "skills/data-contract-quality-governance/SKILL.md",
"description": "为共享数据集、事件流、指标、主数据或数据产品设计可审查的数据治理方案，覆盖数据契约、质量维度与 SLO、字段到消费端血缘、语义和主数据、隐私与用途限制、保留删除、质量事故、模式演进和退役。用于新数据产品上线、生产者与消费者契约、指标口径冲突、数据质量评审、血缘与影响分析、隐私生命周期审查；不用于直接抓取数据、连接生产库、修改管线或处理真实个人数据。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "security-privacy-legal"
},
{
"skill_id": "douyin-smart-publish",
"path": "skills/douyin-smart-publish/SKILL.md",
"description": "抖音创作者平台智能发布（视频/图文）：内容适配→上传→填描述/#话题→封面→存草稿→截图回传确认。默认只存草稿；只有在 Daniel 明确确认后才允许点击发布。覆盖标题(≤55字)、描述(建议≤200字)、#话题标签(3-5个)、封面设置、定时发布、可见性、合拍/下载开关。Playwright 自动化。触发：'发抖音'、'抖音发布'、'douyin…",
"authors": [
"Daniel Li"
],
"creation_commit": "3ab7cdfc8db464b3cc6fdc4775d70d4bf1e32fa1",
"category_id": "chinese-platform-workflows"
},
{
"skill_id": "editorial-content-system",
"path": "skills/editorial-content-system/SKILL.md",
"description": "为组织设计或审计内容战略、编辑组合、内容 brief、主张来源与素材权利清单、生产质量门、发布交接和实验复盘。适用于搭建可持续内容生产系统、定义编辑标准、治理多渠道母版和修复内容流程失控；不用于只改一句文案、决定营销投放/渠道增长、登录账号或自动发布内容。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "content-media-publishing"
},
{
"skill_id": "executive-decision-system",
"path": "skills/executive-decision-system/SKILL.md",
"description": "将模糊的公司级议题转成可追溯的战略选择、资源配置和复查机制。用于重大方向选择、业务组合取舍、跨职能优先级冲突、进入或退出市场、年度或季度重点决策；不用于日常项目排期、流程优化、专业领域定论或对已完成工作的独立验收。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "business-operations-strategy"
},
{
"skill_id": "financial-planning-and-analysis",
"path": "skills/financial-planning-and-analysis/SKILL.md",
"description": "为经营决策建立可复算的预算、滚动预测、现金跑道、三表连接、单位经济、实际预算差异、情景敏感性和资本配置备忘录。适用于业务规划、资源分配、定价经济性与下行评估；不用于代替会计税务审计意见、个人化投资建议、保证收益融资估值，或执行付款、转账、交易、借贷、开户和报税。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "finance-trading-markets"
},
{
"skill_id": "incident-command-and-review",
"path": "skills/incident-command-and-review/SKILL.md",
"description": "建立只读事件态势、明确指挥角色、组织决策节奏、定义恢复标准，并在稳定后完成无责复盘与纠正措施复验。用于服务异常、业务中断、安全或数据事件的协调与复盘；不用于直接修改生产环境、部署修复、使用凭证、对外通知、替技术负责人诊断实现，或未经人类批准执行任何高风险动作。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "cloud-devops-reliability"
},
{
"skill_id": "independent-assurance-gate",
"path": "skills/independent-assurance-gate/SKILL.md",
"description": "独立审查重要完成声明，建立声明—证据映射，寻找反例，校准严重度并给出通过、有条件通过、阻断或待验证结论。用于发布前验收、高风险变更、跨角色交付、外部结果声明和整改复验；不用于审查者自己的主要实现、替领域负责人设计方案、替 CEO 作资源取舍或替人类接受现实风险。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "business-operations-strategy"
},
{
"skill_id": "jimeng-digital-human",
"path": "skills/jimeng-digital-human/SKILL.md",
"description": "即梦AI数字人视频生成全流程自动化。通过浏览器自动化操控 jimeng.jianying.com 数字人界面，完成角色上传、音色选择、台词填入、视频生成和下载。触发场景：用户需要生成数字人视频、即梦数字人、AI数字人口播视频、数字人视频制作。依赖 jimeng-login skill 处理登录。",
"authors": [
"Daniel Li"
],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"category_id": "general-utilities"
},
{
"skill_id": "jimeng-login",
"path": "skills/jimeng-login/SKILL.md",
"description": "即梦AI平台(jimeng.jianying.com)浏览器登录。当需要操作即梦数字人、视频生成等功能前检测到未登录时触发。处理协议同意、抖音OAuth扫码、登录态持久化。",
"authors": [
"Daniel Li"
],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"category_id": "general-utilities"
},
{
"skill_id": "jimeng-storyboard",
"path": "skills/jimeng-storyboard/SKILL.md",
"description": "将口播视频剧本拆解为即梦AI数字人平台的分镜头脚本。输出格式为每个镜头的角色说（台词）和动作描述（镜头语言/数字人动作），适配即梦 jimeng.jianying.com 数字人视频生成界面。触发场景：用户需要生成口播视频分镜、数字人视频剧本拆解、即梦分镜脚本、短视频口播脚本分镜、数字人台词加动作拆分。",
"authors": [
"Daniel Li"
],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"category_id": "content-media-publishing"
},
{
"skill_id": "legal-issue-spotting",
"path": "skills/legal-issue-spotting/SKILL.md",
"description": "按主体、司法辖区、事实和时间识别合同、隐私、知识产权、消费者、广告、劳动、公司治理或跨境事项的法律问题，形成权威依据、风险选项、残余风险和当地专业律师交接包。适用于行动前法律风险初筛与法务 intake；不用于出具正式法律意见、替代律师、保证合法合规、代表客户、签署发送合同或执行备案申报。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "security-privacy-legal"
},
{
"skill_id": "meta-cognition",
"path": "skills/meta-cognition/SKILL.md",
"description": "Meta-cognitive framing for analyze-before-doing, ownership routing, risk gating, minimum-closure planning, and retrospective extraction in multi-agent work. Use when the user…",
"authors": [
"Daniel Li"
],
"creation_commit": "8b4010dd6c07cb9809363bd7e733fce70e2992ca",
"category_id": "ai-agents-orchestration"
},
{
"skill_id": "operating-cadence-and-flow",
"path": "skills/operating-cadence-and-flow/SKILL.md",
"description": "把已确认的战略或经营目标转成端到端价值流、责任接口、产能约束、运营节奏和异常恢复机制。用于跨团队交付卡顿、责任不清、等待返工过多、运营指标失效、重复流程需要标准化；不用于重新选择公司战略、替专业角色设计方案、一次性简单任务或独立批准完成声明。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "general-utilities"
},
{
"skill_id": "orchestrate-agi-super-team",
"path": "skills/orchestrate-agi-super-team/SKILL.md",
"description": "按 Team→C-suite→Skills/直属 Subagents→Governor→CEO→人工批准契约编排 AGI Super Team。适用于用户要求跨职能团队、专家委派、独立复核，或需在 Claude Code、Codex、OpenClaw、Hermes 中选择真实执行方式；单领域一步任务不要启用。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "44e0092bcf4f02d1c6c59154a709cde313019cb5",
"category_id": "ai-agents-orchestration"
},
{
"skill_id": "positioning-growth-experiment-system",
"path": "skills/positioning-growth-experiment-system/SKILL.md",
"description": "基于真实市场、受众与产品证据设计定位、信息架构、渠道组合、增长实验和增量测量。用于市场细分、品牌定位、价值主张、渠道选择、活动实验、SEO/GEO 方向、归因复盘或扩张/停止决策；不要用于直接制作大量内容、自动发布、投放广告、群发消息、购买流量、修改产品事实或在证据不足时宣称 ROI、CAC 和增长因果。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "marketing-seo-growth"
},
{
"skill_id": "product-discovery-portfolio-governance",
"path": "skills/product-discovery-portfolio-governance/SKILL.md",
"description": "将模糊产品想法、客户请求或路线图争议转化为有证据的用户机会、产品组合取舍和阶段门决策。用于产品发现、机会评估、组合优先级、MVP 范围、路线图审查、发布前准备或继续/调整/停止决策；不要用于直接决定技术架构、营销投放、销售承诺、价格、法律结论，也不要把无研究证据的功能清单包装成产品战略。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "finance-trading-markets"
},
{
"skill_id": "relay-image-gen",
"path": "skills/relay-image-gen/SKILL.md",
"description": "Multi-provider image generation with automatic priority fallback",
"authors": [
"Daniel Li"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "content-media-publishing"
},
{
"skill_id": "relay-video-gen",
"path": "skills/relay-video-gen/SKILL.md",
"description": "Multi-provider video generation with async polling and automatic model fallback",
"authors": [
"Daniel Li"
],
"creation_commit": "cecc3e42d4b3e1cafd18ea46b82a04b990680850",
"category_id": "content-media-publishing"
},
{
"skill_id": "research-evidence-synthesis",
"path": "skills/research-evidence-synthesis/SKILL.md",
"description": "为重要决策设计可证伪研究问题、检索协议、证据台账、反证矩阵、不确定性说明和带引用的综合结论。适用于比较竞争性解释、审查多来源主张、建立证据图或决定下一步研究；不用于无需研究的稳定常识、单纯数据查询、伪造来源，或未经授权购买资料、联系研究对象和访问受限内容。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "data-analytics-research"
},
{
"skill_id": "revenue-opportunity-governance",
"path": "skills/revenue-opportunity-governance/SKILL.md",
"description": "将销售线索和客户对话治理为有证据的发现、资格、机会阶段、方案、预测、谈判和客户成功交接。用于机会审查、发现准备、资格判断、管道复盘、提案协调、谈判准备、预测校准、失单复盘或成交后交接；不要用于自动外联、群发、写入 CRM、报价、折扣、签约、抓取个人资料、承诺产品/交期/条款，也不要把回复、会议、试用或口头兴趣冒充成交。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "sales-crm-customer-success"
},
{
"skill_id": "sre-reliability-governance",
"path": "skills/sre-reliability-governance/SKILL.md",
"description": "为服务或平台设计可审查的可靠性治理方案，覆盖用户旅程 SLI/SLO、错误预算政策、容量模型、依赖与故障域、韧性和恢复、事故准备、变更风险分级及验证门。用于新服务上线前可靠性评审、重大架构或迁移设计、SLO/错误预算建立与复核、容量和灾备规划、事故准备度检查；不用于直接排障、部署、修改监控或操作生产系统。",
"authors": [
"Daniel Li",
"AGI Super Team contributors"
],
"creation_commit": "008bde4c0aae5e03b1c3ca46e674455ddc8c1630",
"category_id": "cloud-devops-reliability"
},
{
"skill_id": "video-merge-send",
"path": "skills/video-merge-send/SKILL.md",
"description": "合并多个分段视频为一个完整视频，并发送到飞书。使用ffmpeg拼接视频片段，支持淡入淡出转场。触发场景：用户需要合并视频片段、拼接分镜视频、视频合并后发飞书、把多个短视频合成一个、分段视频合并发送。配合 jimeng-storyboard skill 使用，完成数字人视频全流程。",
"authors": [
"Daniel Li"
],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"category_id": "content-media-publishing"
},
{
"skill_id": "weixin-channels-publish",
"path": "skills/weixin-channels-publish/SKILL.md",
"description": "微信视频号助手网页版视频发布全流程。通过浏览器自动化操控 channels.weixin.qq.com 完成登录检测、扫码登录、上传视频、填写描述和短标题、截图确认后发布或保存草稿。触发场景：用户需要发布视频到视频号、视频号发布、视频号上传视频、发视频号。",
"authors": [
"Daniel Li"
],
"creation_commit": "02262c4ef67b43de4622652f0c10a4718ed3715d",
"category_id": "chinese-platform-workflows"
}
]
}
tests/test_original_skills_index.py
+70
View File
@@ -0,0 +1,70 @@
import json
import subprocess
import sys
import unittest
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
BUILDER = ROOT / "scripts" / "build_original_skills_index.py"
INDEX = ROOT / "skills" / "original" / "index.json"
README = ROOT / "skills" / "original" / "README.md"
PROVENANCE = ROOT / "config" / "skill-provenance.json"
class OriginalSkillsIndexTests(unittest.TestCase):
def test_generated_original_collection_is_current_and_provenance_bounded(self) -> None:
result = subprocess.run(
[sys.executable, str(BUILDER), "--root", str(ROOT), "--check"],
capture_output=True,
text=True,
check=False,
)
self.assertEqual(0, result.returncode, result.stdout + result.stderr)
index = json.loads(INDEX.read_text(encoding="utf-8"))
provenance = json.loads(PROVENANCE.read_text(encoding="utf-8"))
reviewed_originals = {
entry["skill_id"]
for entry in provenance["entries"]
if entry["origin_kind"] == "project-original"
and entry["review_state"] == "reviewed"
}
indexed = {entry["skill_id"] for entry in index["skills"]}
self.assertEqual(reviewed_originals, indexed)
self.assertTrue(
{
"binance-square",
"5minbtc",
"daily-gzh-content",
"daily-xhs-content",
"daily-douyin-content",
"daniel-x-writer",
}
<= indexed
)
self.assertEqual(len(indexed), index["inventoryCount"])
self.assertEqual(
sorted(indexed), [entry["skill_id"] for entry in index["skills"]]
)
by_id = {entry["skill_id"]: entry for entry in index["skills"]}
self.assertEqual("finance-trading-markets", by_id["5minbtc"]["category_id"])
self.assertEqual("finance-trading-markets", by_id["binance-square"]["category_id"])
markdown = README.read_text(encoding="utf-8")
for skill_id in indexed:
self.assertIn(f"../{skill_id}/", markdown)
self.assertNotIn("Unknown", markdown)
self.assertNotIn("Collected", markdown)
def test_original_collection_is_discoverable_and_part_of_skill_build_checks(self) -> None:
skills_readme = (ROOT / "skills" / "README.md").read_text(encoding="utf-8")
package = json.loads((ROOT / "package.json").read_text(encoding="utf-8"))
self.assertIn("original/", skills_readme)
self.assertIn("build_original_skills_index.py", package["scripts"]["build:skills"])
self.assertIn("build_original_skills_index.py", package["scripts"]["check:skills"])
if __name__ == "__main__":
unittest.main()
tests/test_readme_contracts.py
+3 -3
View File
@@ -40,9 +40,9 @@ class ReadmeContractTests(unittest.TestCase):
if entry.startswith("skills/") and entry.endswith("/")
}
self.assertTrue(assigned_skills <= packaged_skill_roots)
self.assertIn("all 816 `SKILL.md` entrypoints", self.english)
self.assertIn("全部 816 个 `SKILL.md` 入口", self.chinese)
self.assertIn("los 816 puntos de entrada `SKILL.md`", self.spanish)
self.assertIn("all 817 `SKILL.md` entrypoints", self.english)
self.assertIn("全部 817 个 `SKILL.md` 入口", self.chinese)
self.assertIn("los 817 puntos de entrada `SKILL.md`", self.spanish)
cli_entrypoint = ROOT / package["bin"]["agi-super-team"]
self.assertTrue(cli_entrypoint.stat().st_mode & 0o111)
self.assertIn("!**/__pycache__/**", package["files"])
tests/test_skill_catalog.py
+1 -1
View File
@@ -82,7 +82,7 @@ class SkillCatalogTests(unittest.TestCase):
index = json.loads(INDEX_PATH.read_text(encoding="utf-8"))
by_id = {item["skill_id"]: item for item in index["skills"]}
unreviewed = by_id["5minbtc"]
unreviewed = by_id["btc-5min-scalper"]
self.assertEqual(unreviewed["provenance"]["origin_kind"], "unknown")
self.assertEqual(unreviewed["provenance"]["review_state"], "unreviewed")
self.assertEqual(unreviewed["curation"]["status"], "unscored")