Codex Skills: Teaching the Agent Your Conventions

Coding agents often produce code that functions but fails to match project-specific conventions, a problem developers frequently report despite growing AI-tool adoption. Codex skills address this by packaging repeatable procedures, standards, references, templates, and optional scripts in folders containing a SKILL.md file; Codex initially reads only each skill’s name and description, then loads full instructions when a request matches. Repository-level skills placed in .agents/skills can version and distribute team conventions automatically, while AGENTS.md is better reserved for universally applicable instructions because it is always loaded. Effective skills use precise, trigger-focused descriptions with explicit boundaries, provide procedural steps and examples, place detailed material in reference files, and use scripts for deterministic checks. The format is portable across tools including Codex, Claude Code, and Gemini CLI, though installation paths and tool-specific commands may differ. Skills improve the likelihood that generated code follows structural, contract, and testing conventions, but they do not prove that software works, so linting, schema tests, and execution in real browsers or devices remain necessary; the text recommends beginning with a frequently repeated code-review correction, testing whether the skill triggers in a fresh session, and pairing convention guidance with independent verification.

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