Repository fingerprint
Detect repo shape, language, frameworks, package managers, manifests, commands, environment signals and important code areas.
ZERO PAID AI API · REPOSITORY-NATIVE
Turn a GitHub repo into a
serious engineering Skill.
Repo2Skill maps architecture, commands, dependencies, APIs, tests, CI and code structure, then packages two repository-native Skills: ChatGPT and Claude.
✓ No OpenAI / Anthropic API✓ Browser-first analysis✓ 7-language interface
GitHub → AI Skill ↘1Repository
2Intelligence
3Export
1 · Repository
Give it a public GitHub repository
Repo2Skill reads the repository tree and a prioritized set of high-signal files directly from GitHub in your browser.
Analysis depth
Public repositories only in this zero-cost build.
2 · Intelligence
Repository intelligence
Review what Repo2Skill actually detected before compiling the Skills.
Repo2Skill reads the repository tree and a prioritized set of high-signal files directly from GitHub in your browser.
What makes the Skill professional
Not a README summary. An engineering operating system.
Engineering map
Extract routes, exported symbols, tests, CI, dependencies, conventions and source excerpts with exact repository paths.
Repository-native playbooks
Compile implement, debug, review, test, explain, refactor and migration protocols with validation and source-of-truth rules.
FAQ
Common questions
Does this use an AI API to analyze my repository?
No. This build uses deterministic browser-side analysis of GitHub metadata, the recursive tree and selected raw files. That keeps recurring AI API cost at zero.
Will the Skill know the entire repository?
It builds a bounded evidence snapshot, not a perfect semantic index. Deep mode fetches more high-signal files and includes a file index plus source excerpts. When a live repository is available, the Skill is instructed to prefer current files over the snapshot.
What makes the output specialized?
The Skill is generated from the repository’s real commands, architecture signals, dependencies, routes, symbols, tests, CI and conventions. It also has task-specific protocols for implementation, debugging, review, testing, refactoring and migrations.