inits

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

5|2|Updated Nov 17, 2025
One-click install
npx skills add https://github.com/OutlineDriven/odin-gemini-cli-extension --skill inits
Or copy as Structured Prompt for Agent
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.