f0-ai-config-hygiene

Audit AI configuration files for instruction duplication and ownership adherence.

27|5|Updated Mar 20, 2024
One-click install
npx skills add https://github.com/factorialco/f0 --skill f0-ai-config-hygiene
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: f0-ai-config-hygiene
Source: https://github.com/factorialco/f0/tree/main/packages/react/.skills/f0-ai-config-hygiene
Command: npx skills add https://github.com/factorialco/f0 --skill f0-ai-config-hygiene

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents duplicated or conflicting AI instructions across various configuration files, ensuring a single source of truth and reducing maintenance overhead.

Core Features & Use Cases

  • Duplication Detection: Identifies identical or near-identical instructions across AGENTS.md, SKILL.md, and copilot-instructions.md files.
  • Ownership Enforcement: Helps maintain the defined ownership model for AI configuration rules.
  • Use Case: Before merging a pull request that modifies AI configuration files, run this skill to ensure no instructions have been accidentally duplicated or drifted out of sync.

Quick Start

Run the f0-ai-config-hygiene skill to audit all AI configuration files for instruction duplication.

Frequently Asked Questions about f0-ai-config-hygiene

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

FAQPage Schema
How do I detect duplicated AI instructions across AGENTS.md and copilot-instructions.md files?

Detect duplicated AI instructions across AGENTS.md and copilot-instructions.md files by auditing configuration files for identical or near-identical rules. This identifies restated instructions, highlights drift risks, and ensures a single source of truth across the monorepo.

Why do AI configuration rules drift out of sync in a monorepo?

AI configuration rules drift out of sync when instructions are restated across multiple files like SKILL.md and AGENTS.md. Auditing these configurations identifies duplicated rules and potential drift risks, ensuring ownership model adherence and reducing maintenance overhead.

What is the best way to maintain a single source of truth for AI config files?

The best way to maintain a single source of truth for AI config files is auditing AGENTS.md, SKILL.md, and copilot-instructions.md for instruction duplication. This enforces the ownership model and prevents conflicting rules before merging a pull request.

Can I audit AI config files for an ownership model before merging a pull request?

Yes, you can audit AI config files for an ownership model before merging a pull request. Running an audit identifies instruction duplication and drift risks across AGENTS.md, SKILL.md, and copilot-instructions.md, ensuring a single source of truth.

Does instruction duplication in SKILL.md affect AI behavior?

Instruction duplication in SKILL.md affects AI behavior by creating conflicting or restated rules that risk drift. Auditing configuration files identifies these duplicates, enforces the ownership model, and ensures a single source of truth for AI instructions across the monorepo.

How to audit copilot-instructions.md for restated rules and drift risks?

Audit copilot-instructions.md for restated rules and drift risks by scanning AI configuration files for instruction duplication. This identifies identical or near-identical instructions, enforces an ownership model, and maintains a single source of truth across the monorepo.