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Two new skills covering the model-creation lifecycle: - build-models: packaging custom models with Cog (cog.yaml, predict.py, weights loading with pget, cold-boot tricks, async predictors). - publish-models: cog push, cog-safe-push, GitHub Actions patterns, multi-model matrix pushes, and post-publish monitoring. Descriptions are written to be easy for agents to trigger on, with specific file names, commands, and trigger phrases. Patterns are distilled from production Replicate model repos including cog-flux, cog-flux-kontext, cog-vllm, cog-comfyui, flux-fine-tuner, vibevoice, cog-template, and model-ci-template.
Replicate Skills
A collection of Agent Skills for building AI-powered apps with Replicate.
Skills included:
- find-models — search for models, browse collections, read schemas, pick the right model
- compare-models — evaluate models by cost, speed, quality, and capabilities
- run-models — create predictions, poll, use webhooks, stream, handle files, run concurrently
- prompt-images — prompting techniques for image generation and editing models
- prompt-videos — prompting techniques for video generation and editing models
Installing
These skills work with any agent that supports the Agent Skills standard, including Claude Code, OpenCode, OpenAI Codex, and Pi.
npx skills add replicate/skills
Description
prompt-images: Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.; prompt-videos: Prompting techniques for AI video generation models on Replicate. Use when writing prompts for video models or building video generation features.; find-models: Find AI models on Replicate using search and curated collections.; run-models: Run AI models on Replicate via predictions, webhooks, and streaming.;…
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