MCP HubMCP Hub
Retour aux compétences

refactor-skill-structure

pjt222
Mis à jour 2 days ago
4 vues
17
2
17
Voir sur GitHub
Métageneral

À propos

Cette compétence restructure les fichiers SKILL.md trop longs ou mal organisés pour respecter les limites de lignes imposées par l'intégration continue et en améliorer la lisibilité. Elle extrait les exemples de code dans un fichier séparé, divise les procédures complexes et réorganise le contenu pour une divulgation progressive. Utilisez-la lorsqu'une compétence dépasse 500 lignes, est principalement constituée de blocs de code, ou contient des étapes procédurales avec plusieurs opérations non liées.

Installation rapide

Claude Code

Recommandé
Principal
npx skills add pjt222/agent-almanac -a claude-code
Commande PluginAlternatif
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternatif
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/refactor-skill-structure

Copiez et collez cette commande dans Claude Code pour installer cette compétence

Documentation

Refactor Skill Structure

Refactor SKILL.md exceeded 500-line limit or w/ structural problems. Extract code examples to references/EXAMPLES.md, split compound procs into focused sub-procs, add cross-refs for progressive disclosure, verify skill complete + valid after restructure.

Use When

  • Skill > 500-line CI limit
  • Single proc step has multi unrelated ops → should be separate
  • Code blocks > 15 lines dominate → could extract
  • Skill accumulated ad-hoc sections breaking standard 6-section
  • After update pushed over limit
  • Review flagged structural issues beyond content

In

  • Required: Path to SKILL.md
  • Optional: Target line count (default 80% of 500 = ~400)
  • Optional: Create references/EXAMPLES.md? (default yes if extractable)
  • Optional: Split into multi skills? (default no, prefer extract first)

Do

Step 1: Measure + ID Bloat

Read skill + create section line budget → ID bloat.

# Total line count
wc -l < skills/<skill-name>/SKILL.md

# Line count per section (approximate)
grep -n "^## \|^### " skills/<skill-name>/SKILL.md

Classify bloat:

  • Extractable: Code blocks > 15 lines, full configs, multi-variant examples
  • Splittable: Compound proc steps doing 2+ unrelated ops
  • Trimable: Redundant explanations, verbose ctx
  • Structural: Ad-hoc sections not in standard 6

→ Line budget showing oversized sections + bloat category. Largest = primary refactor targets.

If err: skill < 500 lines + no structural issues → skill not needed. Verify request justified.

Step 2: Extract Code → references/EXAMPLES.md

Move code blocks > 15 lines to references/EXAMPLES.md, leave brief inline (3-10 lines) in main.

  1. Create dir:

    mkdir -p skills/<skill-name>/references/
    
  2. For each extractable block:

    • Copy full block to references/EXAMPLES.md w/ descriptive heading
    • Replace block in SKILL.md w/ brief 3-5 line snippet
    • Add cross-ref: See [EXAMPLES.md](references/EXAMPLES.md#heading) for the complete configuration.
  3. Structure references/EXAMPLES.md w/ clear headings:

    # Examples
    
    ## Example 1: Full Configuration
    
    Complete configuration file for [context]:
    
    \```yaml
    # ... full config here ...
    \```
    
    ## Example 2: Multi-Variant Setup
    
    ### Variant A: Development
    \```yaml
    # ... dev config ...
    \```
    
    ### Variant B: Production
    \```yaml
    # ... prod config ...
    \```
    

→ All blocks > 15 lines extracted. Main SKILL.md keeps brief inline. Cross-refs link to extracted. references/EXAMPLES.md well-organized.

If err: extracting doesn't reduce enough (still > 500) → Step 3 splitting. Few code blocks (natural-lang skill) → focus Steps 3 + 4.

Step 3: Split Compound → Focused Steps

ID proc steps doing multi unrelated ops + split.

Signs compound step:

  • Title contains "and" ("Configure Database and Set Up Caching")
  • Step has multi Expected/On failure blocks (or should)
  • Step > 30 lines
  • Could skip or do diff order from sub-parts

For each compound:

  1. ID distinct ops in step
  2. Create new ### Step N: for each
  3. Renumber subsequent
  4. Each new step → own Expected + On failure
  5. Add transition ctx between new steps

→ Each proc step does one thing. No step > 30 lines. Step count may grow but each indep verifiable.

If err: splitting → too granular (20+ total) → group related micro-steps under single step w/ numbered sub. Sweet spot 5-12 steps.

Step 4: Add Cross-Refs

Ensure main SKILL.md maintains readability + discoverability after extract.

For each extraction:

  1. Inline snippet in SKILL.md self-sufficient for common case
  2. Cross-ref explains additional content available
  3. Use relative paths: [EXAMPLES.md](references/EXAMPLES.md#section-anchor)

Patterns:

  • After brief snippet: See [EXAMPLES.md](references/EXAMPLES.md#full-configuration) for the complete configuration with all options.
  • For multi-variant: See [EXAMPLES.md](references/EXAMPLES.md#variants) for development, staging, and production variants.
  • For extended troubleshooting: See [EXAMPLES.md](references/EXAMPLES.md#troubleshooting) for additional error scenarios.

→ Every extraction has cross-ref. Reader follows main for common case, drills into refs for detail.

If err: cross-refs make text awkward → consolidate multi refs into single note at end of step: For extended examples including [X], [Y], and [Z], see [EXAMPLES.md](references/EXAMPLES.md).

Step 5: Verify Line Count

Re-measure SKILL.md after changes.

# Check main SKILL.md
lines=$(wc -l < skills/<skill-name>/SKILL.md)
[ "$lines" -le 500 ] && echo "SKILL.md: OK ($lines lines)" || echo "SKILL.md: STILL OVER ($lines lines)"

# Check references file if created
if [ -f skills/<skill-name>/references/EXAMPLES.md ]; then
  ref_lines=$(wc -l < skills/<skill-name>/references/EXAMPLES.md)
  echo "EXAMPLES.md: $ref_lines lines"
fi

# Total content
echo "Total content: $((lines + ${ref_lines:-0})) lines"

→ SKILL.md < 500. Ideal < 400 → room future growth. references/EXAMPLES.md no limit.

If err: still > 500 after extract + split → skill should decompose into 2 separate skills. Too much ground = scope creep. Use create-skill for second + update Related Skills cross-refs both.

Step 6: Validate All Sections

After refactor, verify skill has all required sections + frontmatter intact.

Run review-skill-format checklist:

  1. YAML frontmatter parses
  2. All 6 required sections (When to Use, Inputs, Procedure, Validation, Common Pitfalls, Related Skills)
  3. Every proc step has Expected + On failure
  4. No orphaned cross-refs (all links resolve)
# Quick section check
for section in "## When to Use" "## Inputs" "## Procedure" "## Common Pitfalls" "## Related Skills"; do
  grep -q "$section" skills/<skill-name>/SKILL.md && echo "$section: OK" || echo "$section: MISSING"
done
grep -qE "## Validation( Checklist)?" skills/<skill-name>/SKILL.md && echo "Validation: OK" || echo "Validation: MISSING"

→ All sections present. No content accidentally deleted during extract. Cross-refs in SKILL.md resolve to actual headings in EXAMPLES.md.

If err: section accidentally removed → restore from git: git diff skills/<skill-name>/SKILL.md. Cross-refs broken → verify heading anchors in EXAMPLES.md match links in SKILL.md (GitHub anchor: lowercase, hyphens for spaces, strip punctuation).

Check

  • SKILL.md line count ≤ 500
  • All code blocks in SKILL.md ≤ 15 lines
  • Extracted in references/EXAMPLES.md w/ descriptive headings
  • Every extraction has cross-ref in main SKILL.md
  • No compound proc steps remain (each step one thing)
  • All 6 required sections present after refactor
  • Every proc step has Expected: + On failure:
  • YAML frontmatter intact + parseable
  • Cross-ref links resolve to actual headings in EXAMPLES.md
  • review-skill-format validation passes

Traps

  • Extract too aggressive: All code → refs makes main unreadable. Keep 3-10 line snippets inline for common case. Only extract > 15 lines or multi-variant.
  • Broken anchors: GitHub markdown anchors case-sensitive some renderers. Lowercase headings in EXAMPLES.md, match exact in cross-refs. Test grep -c "heading-text" references/EXAMPLES.md.
  • Lose Expected/On failure during split: Each new step gets own Expected + On failure. Easy to leave one w/o blocks after split.
  • Too many tiny steps: Splitting → 5-12 steps. End up 15+ → split too aggressive. Merge related micro back to logical groups.
  • Forget update EXAMPLES.md headings: Rename section → all cross-ref anchors in SKILL.md must update. Grep old anchor to catch all refs.

  • review-skill-format — run format validation after refactor → confirm compliant
  • update-skill-content — content updates often trigger structural refactor when push over limit
  • create-skill — reference canonical structure when deciding how to organize extracted
  • evolve-skill — split into 2 separate skills → use evolution to create derivative

Dépôt GitHub

pjt222/agent-almanac
Chemin: i18n/caveman-ultra/skills/refactor-skill-structure
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

Compétences associées

content-collections

Méta

Cette compétence propose une configuration éprouvée en production pour Content Collections, un outil axé sur TypeScript qui transforme des fichiers Markdown/MDX en collections de données typées de manière sûre avec une validation Zod. Utilisez-la lors de la création de blogs, de sites de documentation ou d'applications Vite + React riches en contenu pour garantir la sécurité de typage et la validation automatique du contenu. Elle couvre tout, de la configuration du plugin Vite et de la compilation MDX à l'optimisation des déploiements et la validation des schémas.

Voir la compétence

polymarket

Méta

Cette compétence permet aux développeurs de créer des applications avec la plateforme de marchés prédictifs Polymarket, incluant l'intégration d'API pour le trading et les données de marché. Elle fournit également une diffusion de données en temps réel via WebSocket pour surveiller les transactions en direct et l'activité du marché. Utilisez-la pour mettre en œuvre des stratégies de trading ou pour créer des outils traitant les mises à jour de marché en direct.

Voir la compétence

creating-opencode-plugins

Méta

Cette compétence aide les développeurs à créer des plugins OpenCode qui s'interconnectent avec plus de 25 types d'événements tels que les commandes, les fichiers et les opérations LSP. Elle fournit la structure du plugin, les spécifications de l'API événementielle et les modèles d'implémentation pour les modules JavaScript/TypeScript. Utilisez-la lorsque vous avez besoin d'intercepter, de surveiller ou d'étendre le cycle de vie de l'assistant IA OpenCode avec une logique personnalisée pilotée par les événements.

Voir la compétence

sglang

Méta

SGLang est un framework de service LLM haute performance spécialisé dans la génération rapide et structurée pour les workflows JSON, regex et agentiques grâce à son cache de préfixe RadixAttention. Il offre une inférence nettement plus rapide, particulièrement pour les tâches avec des préfixes répétés, ce qui le rend idéal pour les sorties complexes et structurées ainsi que les conversations multi-tours. Choisissez SGLang plutôt que des alternatives comme vLLM lorsque vous avez besoin d'un décodage contraint ou que vous construisez des applications avec un partage étendu de préfixes.

Voir la compétence