Correction de documentation de compétence

VérifiéPrudence

Analyse la conversation, détecte les erreurs dans la documentation de compétence et propose des corrections avec approbation.

Spar Skills Guide Bot
DocumentationIntermédiaire
1024/07/2026
Claude Code
#skill-management#documentation-fix#approval-workflow#code-correction

Recommandé pour

Notre avis

Détecte et corrige automatiquement les erreurs dans les fichiers de documentation des compétences en analysant le contexte de la conversation, en proposant des correctifs avec des différences avant/après, et en appliquant les modifications après approbation de l'utilisateur.

Points forts

  • Détection automatisée des problèmes de documentation des compétences à partir du contexte de la conversation.
  • Flux de travail structuré avec approbation utilisateur pour éviter les changements non souhaités.
  • Fournit des différences avant/après claires pour la révision.
  • Option de validation (commit) pour le contrôle de version.

Limites

  • Dépend d'un contexte de conversation clair pour identifier la bonne compétence.
  • Nécessite l'approbation de l'utilisateur à chaque étape, ce qui peut interrompre le flux de travail.
  • Corrige uniquement la documentation, pas la logique du code sous-jacent.
Quand l'utiliser

Utilisez cette compétence lorsque vous remarquez que la documentation d'une compétence est incorrecte ou obsolète pendant ou après l'exécution, et que vous souhaitez une manière structurée de la corriger avec supervision.

Quand l'éviter

N'utilisez pas cette compétence pour corriger des bugs de code ou pour apporter des modifications sans révision utilisateur ; utilisez plutôt des compétences de débogage dédiées.

Analyse de sécurité

Prudence
Score qualité90/100

The skill uses Bash for ls and git commands within the scope of updating skill documentation. It requires user approval before applying any changes and does not instruct destructive, exfiltrating, or obfuscated actions. The risk is low and inherent to version control operations.

Points d'attention
  • Uses Bash(git:*) which allows arbitrary git commands; could modify repository history if misused, but context restricts to documentation healing after user approval.

Exemples

Fix outdated API endpoint in skill documentation
I noticed that the API endpoint in the skill documentation is wrong. Can you heal the skill documentation for the 'api-fetcher' skill? The actual endpoint should be https://api.example.com/v2/data instead of v1.
Correct mismatched description in SKILL.md
The description in the SKILL.md of the current skill doesn't match what it actually does. Please run the skill healing process to fix it.

description: Heal skill documentation by applying corrections discovered during execution with approval workflow argument-hint: [optional: specific issue to fix] allowed-tools: [Read, Edit, Bash(ls:), Bash(git:)]

<objective> Update a skill's SKILL.md and related files based on corrections discovered during execution.

Analyze the conversation to detect which skill is running, reflect on what went wrong, propose specific fixes, get user approval, then apply changes with optional commit. </objective>

<context> Skill detection: !`ls -1 ./skills/*/SKILL.md | head -5` </context>

<quick_start> <workflow>

  1. Detect skill from conversation context (invocation messages, recent SKILL.md references)
  2. Reflect on what went wrong and how you discovered the fix
  3. Present proposed changes with before/after diffs
  4. Get approval before making any edits
  5. Apply changes and optionally commit </workflow>

</quick_start>

<process> <step_1 name="detect_skill"> Identify the skill from conversation context:
  • Look for skill invocation messages
  • Check which SKILL.md was recently referenced
  • Examine current task context

Set: SKILL_NAME=[skill-name] and SKILL_DIR=./skills/$SKILL_NAME

If unclear, ask the user. </step_1>

<step_2 name="reflection_and_analysis"> Focus on $ARGUMENTS if provided, otherwise analyze broader context.

Determine:

  • What was wrong: Quote specific sections from SKILL.md that are incorrect
  • Discovery method: Context7, error messages, trial and error, documentation lookup
  • Root cause: Outdated API, incorrect parameters, wrong endpoint, missing context
  • Scope of impact: Single section or multiple? Related files affected?
  • Proposed fix: Which files, which sections, before/after for each </step_2>

<step_3 name="scan_affected_files">

ls -la $SKILL_DIR/
ls -la $SKILL_DIR/references/ 2>/dev/null
ls -la $SKILL_DIR/scripts/ 2>/dev/null

</step_3>

<step_4 name="present_proposed_changes"> Present changes in this format:

**Skill being healed:** [skill-name]
**Issue discovered:** [1-2 sentence summary]
**Root cause:** [brief explanation]

**Files to be modified:**
- [ ] SKILL.md
- [ ] references/[file].md
- [ ] scripts/[file].py

**Proposed changes:**

### Change 1: SKILL.md - [Section name]
**Location:** Line [X] in SKILL.md

**Current (incorrect):**

[exact text from current file]


**Corrected:**

[new text]


**Reason:** [why this fixes the issue]

[repeat for each change across all files]

**Impact assessment:**
- Affects: [authentication/API endpoints/parameters/examples/etc.]

**Verification:**
These changes will prevent: [specific error that prompted this]

</step_4>

<step_5 name="request_approval">

Should I apply these changes?

1. Yes, apply and commit all changes
2. Apply but don't commit (let me review first)
3. Revise the changes (I'll provide feedback)
4. Cancel (don't make changes)

Choose (1-4):

Wait for user response. Do not proceed without approval. </step_5>

<step_6 name="apply_changes"> Only after approval (option 1 or 2):

  1. Use Edit tool for each correction across all files
  2. Read back modified sections to verify
  3. If option 1, commit with structured message showing what was healed
  4. Confirm completion with file list </step_6> </process>

<success_criteria>

  • Skill correctly detected from conversation context
  • All incorrect sections identified with before/after
  • User approved changes before application
  • All edits applied across SKILL.md and related files
  • Changes verified by reading back
  • Commit created if user chose option 1
  • Completion confirmed with file list </success_criteria>
<verification> Before completing:
  • Read back each modified section to confirm changes applied
  • Ensure cross-file consistency (SKILL.md examples match references/)
  • Verify git commit created if option 1 was selected
  • Check no unintended files were modified </verification>
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