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lingzhi227__agent-research-…/CHANGELOG.md
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Lingzhi Yang 4e5f1176a1 Add github-research skill (v1.1.0)
6-phase pipeline for discovering, evaluating, and deeply analyzing
GitHub repositories related to a research topic. Reads deep-research
output, discovers repos from multiple sources (GitHub search, code
search, Papers With Code), scores and ranks them, clones and analyzes
code, then produces cross-repo comparison and integration blueprints.

13 Python scripts (stdlib-only), 1 SKILL.md, 1 phase-guide reference.
2026-02-23 16:26:34 -05:00

2.3 KiB

Changelog

All notable changes to this project will be documented in this file.

[1.1.0] - 2026-02-23

Added

  • github-research skill: 6-phase pipeline for discovering, evaluating, and deeply analyzing GitHub repositories related to a research topic
    • Phase 1: Intake — extract refs, URLs, keywords from deep-research output
    • Phase 2: Discovery — multi-source GitHub search (repos, code, Papers With Code)
    • Phase 3: Filtering — score, rank, and select top repos
    • Phase 4: Deep Dive — clone and deeply analyze code structure, dependencies, implementations
    • Phase 5: Analysis — cross-repo comparison matrix, technique mapping, gap analysis
    • Phase 6: Blueprint — integration plan, reusable components catalog
  • 13 Python scripts for github-research: extract_research_refs.py, search_github.py, search_github_code.py, search_paperswithcode.py, repo_db.py, repo_metadata.py, repo_readme_fetch.py, clone_repo.py, analyze_repo_structure.py, extract_dependencies.py, find_implementations.py, compare_repos.py, compile_github_report.py
  • Phase guide reference (references/phase-guide.md) with search strategy matrix and per-repo analysis templates

[1.0.0] - 2026-02-20

Added

  • 30 research skills covering the full academic paper lifecycle:
    • Phase 0: deep-research, literature-search, literature-review, idea-generation, novelty-assessment, research-planning
    • Phase 1: atomic-decomposition, algorithm-design, math-reasoning, symbolic-equation
    • Phase 2: experiment-design, experiment-code, code-debugging, data-analysis
    • Phase 3: paper-writing-section, related-work-writing, survey-generation, paper-to-code
    • Phase 4: figure-generation, table-generation, citation-management, backward-traceability
    • Phase 5: latex-formatting, paper-compilation, excalidraw-skill
    • Phase 6: self-review, paper-revision, rebuttal-writing, slide-generation, paper-assembly
  • 20 Python scripts with CLI interfaces (argparse + --help)
  • Slash command: /research <topic> for deep literature reviews
  • Installer (install.sh) with dependency checking and script verification
  • Design specifications (SKILLS_DESIGN.md) extracted from 17 GitHub repos
  • Implementation checklist (SKILLS_IMPLEMENTED.md)