Agent skill · research science · bytedance
github-deep-research
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.
Why this skill is useful
Adds a structured research methodology and executable scripts for GitHub API interactions that the AI wouldn't reliably generate on its own.
What it needs
Requires python installed locally. Requires github account access. About 3k tokens when loaded. Last updated 2026-08-07. 79,444 stars on the source repository.
What this skill does
GitHub Deep Research Skill Multi-round research combining GitHub API, websearch, webfetch to produce comprehensive markdown reports. Research Workflow Round 1: GitHub API Round 2: Discovery Round 3: Deep Investigation Round 4: Deep Dive Core Methodology Query Strategy Broad to Narrow: Start with GitHub API, then general queries, refine based on findings. Source Prioritization: 1. Official docs/repos (highest weight) 2. Technical blogs (Medium, Dev.to) 3. News articles (verified outlets) 4. Community discussions (Reddit, HN) 5. Social media (lowest weight, for sentiment) Research Rounds Round 1 - GitHub API Directly execute scripts/githubapi.py without readfile(): Available commands (the last argument of githubapi.py): summary info readme tree languages contributors commits issues prs releases Round 2 - Discovery (3-5 websearch) Get overview and identify key terms Find official website/repo Identify main players/competitors Round 3 - Deep Investigation (5-10 websearch + webfetch) Technical architecture details Timeline of key events Community sentiment Use webfetch on valuable URLs for full content Round 4 - Deep Dive Analyze commit history for timeline Review issues/PRs for feature evolution Check contributor activity Report Structure Follow template in assets/reporttemplate.md: 1. Metadata Block - Date, confidence level, subject 2. Executive Summary - 2-3 sentence overview with key metrics 3. Chronological Timeline - Phased breakdown with dates 4. Key Analysis Sections - Topic-specific deep dives 5. Metrics & Comparisons - Tables, growth charts 6. Strengths & Weaknesses - Balanced assessment 7. Sources - Categorized references 8. Confidence Assessment - Claims by confidence level 9. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills bytedance/github-deep-research