inits

Generate an AGENTS.md documenting repository conventions, constraints, and rationale.

5|2|Updated Nov 17, 2025

Search Tags:#documentation #onboarding #codebase #agents #conventions #rationale #analyze

Ready to run

npx skills add https://github.com/OutlineDriven/odin-gemini-cli-extension --skill inits

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: inits
Source: https://github.com/OutlineDriven/odin-gemini-cli-extension/tree/main/skills/init
Command: npx skills add https://github.com/OutlineDriven/odin-gemini-cli-extension --skill inits

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze a codebase onboarding process by generating or updating an AGENTS.md file that documents hard-to-rediscover conventions, constraints, and rationale for future ODIN Code Agent instances.

Core Features & Use Cases

Cross-cutting conventions and boundaries that span multiple files.
Implicit contracts and operational constraints that are easy to miss in quick code exploration.
Non-obvious command guidance only when hidden constraints matter (required ordering, env vars, caveats).
Workflow guidance: if AGENTS.md already exists, suggest targeted improvements instead of rewriting; ensure every statement is grounded in repository findings; omit uncertain claims.

Quick Start

Analyze the codebase and generate or update an AGENTS.md with conventions, constraints, and rationale for future agents.

Frequently Asked Questions about inits

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

FAQPage Schema

How do I generate an AGENTS.md file to document codebase conventions for onboarding?▼

To generate an AGENTS.md for codebase onboarding, analyze the repository to capture cross-cutting conventions, implicit contracts, and operational constraints, then output a structured guide with explicit rules and workflow guidance for future agents.

What codebase knowledge should I capture to guide future agents during onboarding?▼

You should capture hard-to-rediscover rationale, non-obvious command guidance with hidden constraints like required ordering or env vars, and cross-cutting boundaries that span multiple files to guide future agents effectively.

How do I update an existing AGENTS.md file without losing previous rationale?▼

To update an existing AGENTS.md without losing data, suggest targeted improvements instead of rewriting the file, ensuring every updated statement remains grounded in repository findings and omitting uncertain claims.

Can I document implicit operational contracts and constraints for agents using codebase analysis?▼

Yes, you can document implicit operational contracts and constraints by analyzing the codebase to identify non-obvious command caveats and cross-cutting boundaries, outputting them as explicit rules suitable for agent ingestion.

What are the limitations of auto-generating repository convention guides for agents?▼

A key limitation is that every statement in the generated guide must be grounded in repository findings; uncertain claims or unverified rationale are omitted to prevent agents from acting on inaccurate codebase assumptions.