What triggers the Fast Onboard skill?

The skill is activated when you use keywords like 'onboard', 'analyze project', or 'understand codebase', or whenever you start working with a new repository.

Does this skill work with any programming language?

Yes, while it has specific optimizations for JavaScript, TypeScript, Python, Go, and Rust, its general directory analysis works across all languages.

Are there any mandatory dependencies for this skill?

Yes, 'jq' must be installed on your system for the skill to process data. It also recommends 'scc', 'fd', and 'tree' for more detailed analysis.

What is the primary purpose of the Fast Onboard skill?

The skill is designed to quickly scan a project's files and structure to generate a CLAUDE.md file, which helps Claude understand how to build, test, and navigate the repository.

How does it store the analyzed data?

It creates a .claude directory and stores a structured .onboard-cache.json file containing all the metadata gathered during the scan.

Fast Onboard

Name: Fast Onboard
Author: thirdlf03

bythirdlf03

0•

内容管理

Analyzes repository structures and generates comprehensive CLAUDE.md documentation for rapid codebase onboarding.

Fast Onboard is a high-performance skill designed to help developers and AI agents instantly understand new or unfamiliar repositories. By executing parallel analysis tasks to gather code statistics, git metadata, dependency trees, and infrastructure configurations, it builds a complete profile of a project's architecture. The skill then leverages a specialized subagent to synthesize this data into a structured CLAUDE.md file, ensuring that build commands, testing patterns, and project conventions are documented and immediately accessible for future development tasks.

主要功能

010 GitHub stars

02Structured JSON caching of repository metadata in .claude/.onboard-cache.json

03Parallel data collection using scc, fd, and tree for rapid project scanning

04Automatic generation of CLAUDE.md for persistent project context

05Dependency and infrastructure file identification (Docker, GitHub Actions, Makefiles)

06Automated technology stack detection for JS, Python, Go, and Rust

使用场景

01Gaining immediate context when switching between multiple complex microservices

02Standardizing repository onboarding guides across a development team

03Initializing documentation for a new or existing project to improve AI performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thirdlf03/claude-dev-toolkit fast-onboard

For use in Claude.ai and ChatGPT

Download Skill