init-helper

Generate standardized AGENTS.md instruction files by scanning repository manifests and project structure.

Updated May 15, 2026
One-click install
npx skills add https://github.com/j-show/ai-everything --skill init-helper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: init-helper
Source: https://github.com/j-show/ai-everything/tree/main/skills/init-helper
Command: npx skills add https://github.com/j-show/ai-everything --skill init-helper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

This Skill solves the inconsistency and lack of context in AI coding agents by generating a standardized, high-quality AGENTS.md file that acts as a single source of truth for project-specific rules, commands, and boundaries.

Core Features & Use Cases

  • Automated Discovery: Scans your repository structure, package manifests, and scripts to identify the exact commands and environment context needed by AI agents.
  • Structured Documentation: Enforces a strict, concise format (under 200 lines) for root instructions, with automated domain-specific splits for complex projects.
  • Use Case: When onboarding a new AI agent to a legacy project or a complex monorepo, use this Skill to generate a clear, command-first instruction set that prevents common agent errors and hallucinations.

Quick Start

Use the init-helper skill to scan this repository and generate a new AGENTS.md file following the project structure.

Frequently Asked Questions about init-helper

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

FAQPage Schema
How do I generate an AGENTS.md file for my repository?

To generate an AGENTS.md file, the init-helper scans your repository manifests and project structure to automatically create standardized instruction files for AI coding agents.

What is the best way to onboard an AI agent to a complex monorepo?

The best way to onboard an AI agent to a complex monorepo is to provide a standardized, command-first instruction set that defines project-specific rules, commands, and boundaries to prevent agent errors.

Does automated project initialization work with diverse software stacks?

Yes, automated project initialization applies to agent onboarding and context management across diverse software stacks by discovering exact commands and environment context from package manifests.

What are the line constraints for AI agent instruction files?

AI agent instruction files enforce a strict line-budget constraint of under 200 lines for root instructions, applying automated domain-specific splits for complex projects to maintain conciseness.

Why does an AI coding agent hallucinate or make errors in a legacy project?

AI coding agents hallucinate or make errors in legacy projects due to a lack of context and inconsistency, which can be solved by generating a standardized instruction file acting as a single source of truth.