Refine an existing Codex skill via $ms with minimal diffs, then validate with quick_validate. Trigger when asked to improve a skill's trigger description/frontmatter, workflow text, metadata, scripts/references/assets, or agents/openai.yaml; also for requests to iterate, refactor, rename, or fix a skill using usage/session-mining evidence (for example from $seq).
Resources
1Install
npx skillscat add tkersey/dotfiles/refine Install via the SkillsCat registry.
SKILL.md
Refine
Overview
Refine a target Codex skill by turning evidence into minimal, validated updates using $ms.
Inputs
- Target skill name or path
- Improvement signals (user feedback, session mining notes, errors, missing steps)
- Constraints (minimal diff, required tooling, validation requirements)
Example Prompts
- "Refine the docx skill to tighten triggers and regenerate agents/openai.yaml."
- "Add a small script to the pdf skill, then validate it."
- "Use session-mining notes to refine the gh skill's workflow."
Workflow (Double Diamond)
Discover
- Read the target skill's
SKILL.md,agents/openai.yaml(if present), and anyscripts/,references/, orassets/. - Collect evidence from usage: confusion points, missing steps, bad triggers, or stale metadata.
- If no example prompts are provided, synthesize 2-3 realistic prompts that should trigger the skill.
Define
- Write a one-line problem statement and 2-3 success criteria.
- Choose the smallest change set that addresses the evidence.
- Record explicit constraints (always run quick_validate, minimal diffs, required tooling).
Develop
- List candidate updates: frontmatter description, workflow steps, new resources, or metadata regeneration.
- Prefer minimal-incision improvements; only add resources when they are repeatedly reused or required for determinism.
Deliver
- Invoke $ms to implement changes in-place on the target skill.
- Keep SKILL.md frontmatter compliant for the target skill (name/description only unless a system skill allows more).
- Regenerate
agents/openai.yamlif stale or missing. - If adding scripts, run a representative sample to confirm behavior.
Validation
Always run quick_validate on the target skill. Example command: uv run --with pyyaml -- python3 codex/skills/.system/skill-creator/scripts/quick_validate.py codex/skills/<skill-name>.
Output Checklist
- Updated
SKILL.mdwith accurate triggers and clear workflow - Updated or regenerated
agents/openai.yamlwhen needed - New or modified resources (scripts/references/assets) if justified
- Validation signal from quick_validate (and script runs if added)