tkersey

refine

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).

tkersey 57 2 Updated 3mo ago

Resources

1
GitHub

Install

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 any scripts/, references/, or assets/.
  • 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.yaml if 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.md with accurate triggers and clear workflow
  • Updated or regenerated agents/openai.yaml when needed
  • New or modified resources (scripts/references/assets) if justified
  • Validation signal from quick_validate (and script runs if added)