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Github Deep Research

bytedance/deer-flowOfficial

This is a structured research framework that treats GitHub repo analysis like an investigation assignment. It runs through four rounds: GitHub API calls for raw metrics, broad web searches for context, targeted deep dives with web fetching, and commit history analysis. The output is a markdown report with executive summary, timeline, Mermaid diagrams, and confidence scores for each claim. It's opinionated about citation format and insists on inline sources, which is good because LLM research tools love to hallucinate provenance. Useful when you need to understand a project's history, compare it to alternatives, or build a technical brief. The gantt charts and architecture diagrams feel a bit corporate, but the four round structure keeps the research from spiraling.

skills.sh installs: 2.9K
GitHub stars: 85.2K
last updated: Aug 21, 2026

Install

$ npx -y skills add bytedance/deer-flow --skill github-deep-research --agent claude-code

Installs into .claude/skills of the current project.

Files

GitHub Deep Research Skill

Multi-round research combining GitHub API, web_search, web_fetch 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.

Round 1: GitHub API
Round 2: "{topic} overview"
Round 3: "{topic} architecture", "{topic} vs alternatives"
Round 4: "{topic} issues", "{topic} roadmap", "site:github.com {topic}"

Source Prioritization:

Official docs/repos (highest weight)
Technical blogs (Medium, Dev.to)
News articles (verified outlets)
Community discussions (Reddit, HN)
Social media (lowest weight, for sentiment)

Research Rounds

Round 1 - GitHub API Directly execute scripts/github_api.py without read_file():

python /path/to/skill/scripts/github_api.py <owner> <repo> summary
python /path/to/skill/scripts/github_api.py <owner> <repo> readme
python /path/to/skill/scripts/github_api.py <owner> <repo> tree

SKILL.md on GitHub

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Details

Repository: github.com/bytedance/deer-flow
Categories: Git & Pull Requests, Data Science & ML
First seen: Apr 16, 2026

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