init

Scan key project files to detect tech stack and propose AGENTS.md updates.

Updated May 29, 2021
One-click install
npx skills add https://github.com/hikch/dotfiles --skill init-hikch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: init
Source: https://github.com/hikch/dotfiles/tree/main/.claude/skills/init
Command: npx skills add https://github.com/hikch/dotfiles --skill init-hikch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill analyzes a project structure to extract tech stack, scripts, and configuration details, then assists in updating AGENTS.md to reflect the current project state.

Core Features & Use Cases

  • Detects languages and tooling from key files (package.json, pyproject.toml, Cargo.toml, go.mod, Makefile, Dockerfile, CI workflows).
  • Proposes precise, ready-to-insert updates for AGENTS.md focusing on project-wide tech and commands.
  • Guides a user through a structured interaction to confirm overview and style preferences before updating documentation.

Quick Start

Analyze a repository to identify its tech stack and suggested AGENTS.md edits.

Frequently Asked Questions about init

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

FAQPage Schema
How do I automatically generate an AGENTS.md file from my existing project files?▼

To generate an AGENTS.md file, this skill scans key project files like package.json, pyproject.toml, and Makefile to detect your tech stack and proposes a ready-to-insert structured summary of languages and tooling commands.

Can I automatically detect tech stack and scripts from a repository configuration?▼

You can detect tech stack and scripts by scanning configuration files such as Cargo.toml, go.mod, Dockerfile, and CI workflows, which extracts project-wide technology details and relevant build commands.

What is the best way to update AGENTS.md to reflect current project dependencies?▼

Updating AGENTS.md is best handled by scanning key configuration files to identify current dependencies, then applying those findings to propose a concise project overview and suggested editing rules.

Does this project analysis approach work with both Node.js and Python codebases?▼

This project analysis works with Node.js and Python codebases by parsing package.json and pyproject.toml respectively, identifying language usage and best-fit tooling examples for your documentation.

How do I extract build commands and tooling examples from CI workflows for documentation?▼

You extract build commands and tooling examples by analyzing CI workflows and configuration files, producing a structured project profile that includes detected scripts and suggested editing rules.

What limitations exist when scanning a codebase for an AGENTS.md update?▼

A limitation when scanning a codebase for an AGENTS.md update is that detection relies strictly on finding key files like package.json or Dockerfile, meaning undocumented tools or custom scripts may be missed.