10x-agents-md

Generate AGENTS.md onboarding documents from README, manifests, CI config, and git history.

1|Updated Feb 26, 2025
One-click install
npx skills add https://github.com/kryptonum-dev/fabryka-atrakcji --skill 10x-agents-md
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 10x-agents-md
Source: https://github.com/kryptonum-dev/fabryka-atrakcji/tree/main/.agents/skills/10x-agents-md
Command: npx skills add https://github.com/kryptonum-dev/fabryka-atrakcji --skill 10x-agents-md

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It creates a focused AGENTS.md onboarding document so AI coding agents can quickly understand how to work in this repository without getting stuck on unclear conventions or missing commands.

Core Features & Use Cases

  • Generates or updates AGENTS.md at a repo root, a chosen subdirectory, or an explicit target .md path while preserving existing content when updating.
  • Detects scope (repo-level vs directory-level) and adjusts framing so agents learn only what matches where they are operating.
  • Drives reliable discovery by reading README, manifests, lint/test/CI config, and recent git history, then producing a 200–400 word, critical-rules-first guide.

Quick Start

Ask an agent to run the 10x-agents-md skill to create AGENTS.md at the repository root with the optimized “Repository Guidelines” format.

Frequently Asked Questions about 10x-agents-md

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

FAQPage Schema
How do I generate an AGENTS.md file to onboard AI coding agents in my repository?

To generate an AGENTS.md file, the skill inspects your README, manifests, tooling configuration, and recent git history to produce a concise, 200–400 word onboarding guide with critical rules first for AI coding agents.

What is the best way to create repository guidelines for AI coding agents without writing long documentation?

The best way is generating a concise AGENTS.md document that uses a deterministic structure with checkable constraints, avoiding long code blocks while providing reference-heavy repository guidelines for AI coding agents.

Can I update an existing AGENTS.md file at a specific directory scope instead of the repository root?

Yes, you can update an existing AGENTS.md file safely at the repository root or a specific directory scope, and the skill detects the scope to adjust framing so agents learn only relevant conventions.

Does generating an AGENTS.md onboarding document require any external CI configuration dependencies?

No external dependencies are required; the skill reads existing CI configuration, lint and test setups, and manifests directly from your repository to drive reliable discovery for the onboarding document.

Why should I use an AGENTS.md file instead of just relying on my README for AI agent onboarding?

An AGENTS.md file provides a focused, deterministic onboarding guide with critical rules first, whereas a README may lack the specific CI gates and checkable constraints AI coding agents need to work without getting stuck.

What limitations exist when generating repository guidelines for directory-level versus repo-level AI agent scopes?

The main limitation is scope detection; the generated AGENTS.md will frame instructions strictly for the detected directory-level or repo-level scope, ensuring agents do not receive unrelated conventions from other parts of the repository.