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Github Deep Research

Listed
bytedance·vlatest·backend·MIT

Analyzes GitHub repositories to identify trends, vulnerabilities, and code patterns using advanced AI techniques.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bytedance/deer-flow --skill github-deep-research -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bytedance

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 4 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as bytedance/deer-flow.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The github-deep-research skill enables AI agents to autonomously explore GitHub repositories, analyzing codebases, reading documentation, and synthesizing findings from multiple sources to answer complex technical questions. It goes beyond simple keyword matching to provide deep context-aware insights into open-source projects.

When to use it

  • Investigating the architecture of an unfamiliar library before integrating it into your project.
  • Troubleshooting a specific error by searching through related issues and pull requests across multiple repositories.
  • Comparing implementation patterns between two different open-source tools to decide on a migration strategy.

Key capabilities

  • Autonomous navigation through GitHub repository structures.
  • Deep analysis of code files, READMEs, and documentation.
  • Synthesis of information from disparate sources into coherent answers.
  • Context-aware retrieval of relevant issues and pull requests.

Example prompts

  • "Analyze the react repository to explain how their custom hooks are implemented and provide examples."
  • "Find recent discussions in the tensorflow repo regarding performance optimization for mobile devices."
  • "Compare the authentication patterns used in the django-rest-framework and fastapi repositories."

Tips & gotchas

Ensure you have read access to the specific GitHub repositories you want the agent to analyze, as private repos require authentication. For large monorepos, specify a particular directory or file path to avoid overwhelming the context window with irrelevant code.