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skill-refiner

Refine an existing Mavis skill with evidence-driven minimal patches. Use when a skill has a concrete problem (wrong instructions, outdated steps, missing edge case) backed by evidence. Do not use for creating new skills (use skill-creator), or for stylistic preferences without evidence.

Quellinformationen

Repository
MiniMax-AI/minimax-code
Letzte Quellaktivität
18. September 2026 um 11:25
Erkannte Sprache von SKILL.md
Englisch
Sterne
2.016
Forks
254

Installationsoptionen

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Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
skill-refiner
description
Refine an existing Mavis skill with evidence-driven minimal patches. Use when a skill has a concrete problem (wrong instructions, outdated steps, missing edge case) backed by evidence. Do not use for creating new skills (use skill-creator), or for stylistic preferences without evidence.
descriptions
{"zh-Hans":"基于证据对已有 Mavis skill 做最小修补,修正错误说明、过期步骤或缺失边界。"}
# Skill Refiner Apply the smallest evidence-backed patch to fix a real skill problem. ## When NOT to use - Creating a brand-new skill -> use `skill-creator` - No concrete evidence of a problem -> do nothing - The agent failed to follow correct instructions -> agent error, not a skill issue ## Procedure 1. **Collect evidence**. Identify exactly what went wrong. Evidence sources: - User feedback in the current session ("this skill told me to X but the right step is Y") - A concrete failure trace where the skill's instructions caused wrong behavior If the only evidence is "the skill could be better" with no specifics, stop here. 2. **Read the current skill**. ``` skill({ name: "<name>" }) ``` The native `skill` tool returns the SKILL.md body plus a `Location:` header with the file path. Capture the current content before editing. 3. **Attribute the problem**. Before touching the skill, determine what actually went wrong: | Situation | Action | | ------------------------------------------------------- | --------------------------------------- | | Skill text is factually wrong or outdated | Fix the skill | | Agent didn't follow the skill's correct instructions | Do NOT change the skill -- agent error | | Environment changed (new API, renamed command, etc.) | Update the skill to reflect new reality | | Skill works for the common case but misses an edge case | Add the edge case | | Stylistic preference with no functional impact | Do NOT change | If the problem is not in the skill itself, explain why and stop. 4. **Generate patch**. Design the minimal change that fixes the problem. Document: ``` Problem: <what is broken> Evidence: <specific quote, error trace, or user statement> Rationale: <why this change fixes it without breaking other behavior> ``` Use `old_string` / `new_string` format for each edit point. Prefer surgical patches over section rewrites. 5. **Self-check before applying**. Ask yourself: - Does this change actually address the evidence? (not a nearby symptom) - Could it break existing correct behavior? - Am I adding generic best practices instead of fixing a specific problem? (anti-pattern) - Is this a self-referential modification? (skill-refiner editing itself -- forbidden) If any check fails, revise the patch or abandon the change. 6. **Apply the patch**. Two routes depending on skill type: #### User / Agent skills (mutable) Edit the skill file directly with the Edit tool (user skills live in `{{DATA_DIR}}/skills/<name>/`, agent skills in `{{DATA_DIR}}/agents/<agent>/skills/<name>/`). Re-read the file right before editing so you are patching the current content, not a stale copy. #### Built-in / Project skills (immutable at runtime) These live in the repo (`packages/local-runtime/assets/skills/` or the project's own skill directory under version control). Do NOT edit the runtime copies. Instead: 1. Note the required change 2. Advise the user to make the change in a worktree and submit via MR 4. **Verify**. After applying, re-read the skill and confirm: - The patch landed correctly - The frontmatter `name` and `description` are intact - The overall skill still reads coherently ``` skill({ name: "<name>" }) ``` ## Hard constraints - **No secrets**: never write API keys, tokens, or credentials into skill files - **Size limit**: skill must stay under 100KB after patch - **Frontmatter sacred**: `name` and `description` fields must survive every edit - **No self-referential edits**: skill-refiner must not modify its own SKILL.md - **Evidence mandatory**: every patch must trace back to a specific problem - **Built-in skills are read-only**: changes go through MR, not runtime edits ## Anti-patterns - Rewriting a skill from scratch when a one-line fix would work - Adding generic disclaimers ("always check...", "be careful to...") - Deleting a correct instruction because one report was a false positive - Changing style (wording, formatting) without functional justification - Applying multiple unrelated fixes in one patch (split them) - Acting on a report without verifying the evidence first ## Output contract Deliver: - The applied patch with problem/evidence/rationale documented - Verification that the skill reads correctly post-patch ## Failure handling - If the file changed under you (concurrent edit), re-read and re-plan the patch - If the patch makes the skill worse on re-read, revert and try a different approach - If evidence is ambiguous, explain why and stop rather than guessing
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