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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Codex skills are reusable workflow folders that tell Codex how to handle a recurring task: when the workflow applies, what steps to follow, and what result to return. A skill’s required entrypoint is SKILL.md; optional references, scripts, templates, and assets can support it. Skills guide Codex’s work rather than replacing its tools.
What is a Codex skill?
A skill packages instructions for a recognizable, repeatable goal. It can shape planning, tool use, and command execution by spelling out the workflow and its boundaries. The instructions are reusable; Codex still uses its available capabilities to carry them out. OpenAI describes this distinction in its Skills – Plugins documentation.
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A skill is most useful when a task benefits from a consistent sequence, output format, or set of guardrails. It should focus on one goal, not become a catchall collection of unrelated instructions.
What goes in a SKILL.md file?
Each skill folder needs a SKILL.md file. Its front matter identifies the skill with a name and description; the Markdown body gives Codex the operational instructions. The description matters because it helps Codex decide when the skill applies. State both what the skill does and the conditions that should trigger it, while reserving the detailed procedure for the body. See OpenAI’s Build skills guide.
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Useful instructions define the expected inputs, workflow, output, boundaries, and checks. They should also say what to do when information is missing, ambiguous, or outside the skill’s scope. Keep the entrypoint focused: a short, precise workflow is easier to apply than repeated generic advice.
Optional supporting files
Add resources only when they make the workflow more useful or reliable. For example, a skill might include:
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references/for detailed domain rules or documentation that is only relevant in certain situations.scripts/for repeatable, deterministic processing.assets/for templates or files used in the output.
Link supporting material from SKILL.md and explain when Codex should use it. OpenAI recommends keeping the main instructions concise and putting detailed background in supporting files where appropriate. See the OpenAI skills guide.
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- Choose a recurring task. Pick work with a clear, repeatable goal where consistent steps, output, or safeguards matter. Avoid combining unrelated workflows.
- Define its trigger. Choose a concise name and write a description that says what the skill does and when Codex should use it. Make the trigger specific enough that nearby, unrelated requests do not activate it.
- Write
SKILL.md. Add YAML front matter fornameanddescription, then write the procedure in Markdown. Specify expected inputs, steps, output, limits, and checks; describe when to ask a follow-up question or stop. - Add only useful resources. Include references, scripts, templates, or assets if they support a real part of the workflow. Keep detailed or conditional guidance outside the main instructions when that makes them easier to maintain.
- Put the skill where the current Codex setup can discover it. OpenAI’s Codex evaluation guidance documents
.codex/skills/<skill-name>/SKILL.mdas a repository-scoped example and~/.codex/skills/<skill-name>/SKILL.mdas a user-scoped example. The first suits a workflow tied to one project; the second is an example for a workflow intended across personal projects. Check current Codex guidance for the product surface and setup you use. - Test its behavior. Try direct and natural indirect requests, incomplete inputs, a nearby request that should not trigger the skill, and edge cases. Check both whether Codex selects the skill appropriately and whether the resulting work meets concrete quality criteria. OpenAI’s skill evaluation article discusses testing selection and task success as separate questions.
How does Codex know when to use a skill?
The name and description help Codex identify relevant skills. The description should make the workflow and its trigger conditions explicit; detailed steps belong in the body, not crammed into the metadata. OpenAI’s build guide explains this division.
Test the trigger separately from the outcome. A skill might be selected for the right request but still produce incomplete work, or it might perform well when explicitly invoked but fail to activate for a natural indirect request. Try both types, along with negative and incomplete cases, and assess the result against checks that matter for the workflow.
Should a skill use instructions only or include scripts?
Start with instructions when the workflow can be explained clearly as a sequence of decisions and actions. Add a script when a repeated calculation or file operation benefits from deterministic processing. Supporting scripts are optional, not a requirement for every skill.
A skill can also guide Codex in using an MCP server, but the two serve different purposes: the skill describes the workflow, while an MCP server supplies live information and controlled actions. A skill can be useful without an MCP server when the task only needs packaged instructions and resources. OpenAI explains the distinction in its Skills – Plugins documentation.
Where can Codex skills be used?
Skill setup and availability depend on the product surface and workspace configuration. The repository- and user-scoped paths above are documented Codex examples, not a guarantee that every setup discovers skills in the same way. Check instructions for the Codex product you are using before relying on a particular installation route.
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OpenAI also documents skills in other product contexts, but their availability and setup should not be treated as identical to Codex. For example, the ChatGPT Help Center article describes eligibility and workspace settings for ChatGPT; those details do not establish general Codex account requirements.
Review a skill before using it with tools
Because a skill can influence planning and tool use, inspect its instructions and supporting resources before relying on it for work involving tools or network access. Make sure the requested workflow, permitted actions, and boundaries are clear, and treat untrusted instructions cautiously. OpenAI’s skills guidance discusses these safety considerations.
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