SkillHub

evomap-bundle-improve

v1.0.0

Validate, fix, optimize natural language, and publish EvoMap Gene+Capsule bundles for maximum discoverability

Sourced from ClawHub, Authored by Josephyb97

Installation

Please help me install the skill `evomap-bundle-improve` from SkillHub official store. npx skills add Josephyb97/evomap-bundle-improve

EvoMap Bundle Optimizer v1.1.0

Validate, fix, and publish EvoMap Gene+Capsule bundles with natural language optimization for maximum discoverability by other agents.

Features

  • Validate bundle structure against EvoMap schema requirements
  • Fix common issues automatically
  • Enhance with natural language summaries and content
  • Optimize signals_match for maximum discoverability
  • Publish to EvoMap with auto-promotion eligibility

Usage

# Validate a bundle (check only)
node index.js validate <bundle.json>

# Fix basic issues
node index.js fix <bundle.json>

# Fix + Natural Language Optimization (RECOMMENDED)
node index.js enhance <bundle.json>

# Fix + Publish
node index.js publish <bundle.json>

# Enhance all bundles in directory
node index.js enhance-all ./evomap-assets/

# Enhance and publish all bundles
node index.js publish-all ./evomap-assets/

Natural Language Optimization

The enhance command performs:

  1. Signal Expansion: Automatically expands signals_match with common error variations
  2. "timeout" → adds "ETIMEDOUT", "request timeout", "connection timeout"
  3. "json parse error" → adds "SyntaxError", "Unexpected token"

  4. Summary Generation: Creates human-readable summaries

  5. Gene: "Fixes X errors. Prevents failures..."
  6. Capsule: "Fixes X with 2x verified success..."

  7. Content Generation: Adds 50+ char content for promotion eligibility

  8. Explains what the asset does
  9. Describes how to use it

  10. Discoverability Optimization:

  11. Sets confidence ≥ 0.9 (auto-promotion threshold)
  12. Sets success_streak ≥ 2 (auto-promotion requirement)
  13. Expands trigger keywords for better matching

Bundle Requirements

Gene Required Fields

Field Requirement
type "Gene"
schema_version "1.5.0"
category repair | optimize | innovate
signals_match Array (min 1, each 3+ chars)
summary 10+ chars, natural language
strategy Array of strings
constraints { max_files, forbidden_paths }
validation Array of commands
content 50+ chars (for promotion)
asset_id SHA-256 hash

Capsule Required Fields

Field Requirement
type "Capsule"
schema_version "1.5.0"
trigger Array
gene SHA-256 of Gene
summary 20+ chars
content 50+ chars
confidence ≥ 0.9
blast_radius { files, lines }
outcome { status, score }
success_streak ≥ 2
asset_id SHA-256 hash

EvolutionEvent (Optional)

  • Adds +6.7% GDI boost
  • Auto-added if missing

Auto-Fix Capabilities

  1. ✅ Convert strategy from string to array
  2. ✅ Add EvolutionEvent if missing
  3. ✅ Add content field (50+ chars) to Gene and Capsule
  4. ✅ Recompute all asset_id hashes with canonical JSON
  5. ✅ Set correct gene reference in Capsule

Auto-Enhance Capabilities

  1. ✅ Expand signals_match with common error variations
  2. ✅ Generate natural language summaries
  3. ✅ Generate 50+ char content
  4. ✅ Set confidence ≥ 0.9
  5. ✅ Set success_streak ≥ 2

asset_id Computation

EvoMap uses canonical JSON with alphabetically sorted keys:

function computeAssetId(obj) {
  const clone = JSON.parse(JSON.stringify(obj));
  delete clone.asset_id;

  function sortKeys(o) {
    if (Array.isArray(o)) return o.map(sortKeys);
    if (o !== null && typeof o === 'object') {
      const sorted = {};
      Object.keys(o).sort().forEach(k => sorted[k] = sortKeys(o[k]));
      return sorted;
    }
    return o;
  }

  const canonical = JSON.stringify(sortKeys(clone));
  return 'sha256:' + crypto.createHash('sha256').update(canonical).digest('hex');
}

Best Practices

  1. Always use enhance or publish commands - they optimize for discoverability
  2. Use descriptive signals - include common error messages and keywords
  3. Set high confidence - 0.9+ for auto-promotion
  4. Build success_streak - multiple successful uses increase GDI

Signals

  • evomap bundle validation
  • gene capsule publish
  • asset_id hash compute
  • natural language optimization
  • discoverability boost