jin-deepinit

Analyze project directories to detect languages and frameworks, then generate an AGENTS.md file.

2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/cjinzy/jin-claude --skill jin-deepinit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jin-deepinit
Source: https://github.com/cjinzy/jin-claude/tree/main/plugins/jin-claude/skills/jin-deepinit
Command: npx skills add https://github.com/cjinzy/jin-claude --skill jin-deepinit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the analysis of project structures and recommends the most suitable jin-claude agents for the project's needs, streamlining the setup and development process.

Core Features & Use Cases

  • Project Analysis: Scans project directories to detect languages, frameworks, and overall structure (monorepo, standard, flat).
  • Agent Recommendation: Maps project characteristics to specific jin-claude agents, suggesting the best tools for the job.
  • AGENTS.md Generation: Creates a comprehensive AGENTS.md file documenting the project's profile and recommended agents.
  • Use Case: When starting a new project or onboarding to an existing one, run jin deepinit to get an instant overview of the project's tech stack and a curated list of agents to help you work more effectively.

Quick Start

Run the command jin deepinit in your project's root directory to analyze it and generate an AGENTS.md file.

Frequently Asked Questions about jin-deepinit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate project documentation by analyzing a directory structure?

To generate project documentation by analyzing a directory structure, run the deepinit command in the project root. It scans directories to detect languages, frameworks, and architecture, outputting an AGENTS.md file.

What is automated project onboarding for detecting frameworks and architectural patterns?

Automated project onboarding scans your codebase to identify languages, frameworks, and structural patterns like monorepo or flat layouts. This instantly maps your tech stack to recommended development agents.

Can I use project analysis to recommend agents for a monorepo architecture?

Yes, project analysis detects monorepo architectures and standard structures. It maps these project characteristics to specific agents, recommending the best tools for your monorepo development workflow.

What's the best way to select appropriate agents for a new development workflow?

The best way to select appropriate agents is running an analysis command in the project root. It evaluates the tech stack and generates an AGENTS.md file documenting the project profile and recommended agents.

Does the AGENTS.md file generation require any dependencies or external tools?

No, AGENTS.md file generation requires no external dependencies. The analysis operates directly on your project directory structures to detect frameworks and generate documentation.