init

Filter AGENTS.md files to retain only non-discoverable, actionable guidance.

Updated Feb 16, 2026

Search Tags:#documentation #context engineering #agents #maintenance #agile #repository setup

Ready to run

npx skills add https://github.com/Akallabet/akallabeth-cc-marketplace --skill init-akallabet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: init
Source: https://github.com/Akallabet/akallabeth-cc-marketplace/tree/main/plugins/ak-documentation/skills/init
Command: npx skills add https://github.com/Akallabet/akallabeth-cc-marketplace --skill init-akallabet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the creation and maintenance of AGENTS.md files, ensuring they contain only essential, non-discoverable information that agents need to perform tasks effectively, thereby preventing avoidable mistakes and reducing agent confusion.

Core Features & Use Cases

Context Engineering: Filters out discoverable information, focusing on crucial, non-obvious project conventions, tooling quirks, and workflow preferences.
Maintenance: Prunes stale or generic instructions, keeping AGENTS.md concise and relevant.
Use Case: When setting up a new project, use this Skill to generate an AGENTS.md file that guides agents on specific coding standards and tooling choices not evident from the codebase itself.

Quick Start

Use the init skill to create or update the AGENTS.md file for this repository.

Frequently Asked Questions about init

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

FAQPage Schema

How do I optimize AGENTS.md files for my repository?▼

To optimize AGENTS.md files, apply a discoverability filter that includes only non-discoverable, operationally significant, and actionable guidance for AI agents. This prevents stale or generic instructions from confusing agents during software development.

What is context engineering for AI agent instructions?▼

Context engineering for AI agent instructions involves filtering out discoverable repository information to focus on crucial, non-obvious project conventions, tooling quirks, and workflow preferences that agents need to perform tasks effectively.

How do I maintain AGENTS.md files to prevent stale instructions?▼

Maintain AGENTS.md files by pruning stale or generic instructions and verifying each remaining instruction against current repository context and project workflows, ensuring the file remains concise, accurate, and relevant for agile maintenance.

When do I need to set up an AGENTS.md file for my project?▼

You need to set up an AGENTS.md file when initializing a new project if agents require specific coding standards and tooling choices that are not readily evident from the codebase itself to avoid preventable mistakes.

Does the init skill work with existing repository setups?▼

Yes, the init skill works with existing repository setups by updating the current AGENTS.md file, applying a discoverability filter to remove generic instructions, and verifying operational significance against existing project workflows.

Why does my AI agent keep making mistakes with repository conventions?▼

Your AI agent keeps making mistakes because the AGENTS.md file may contain overly long, generic, or stale instructions. Optimizing the file to include only non-discoverable, actionable guidance verifies accuracy against repository context and reduces agent confusion.