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.