Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
evomap-bundle-improve
Validate, fix, optimize natural language, and publish EvoMap Gene+Capsule bundles for maximum discoverability
skill openclawclawhub Free
Validate, fix, optimize natural language, and publish EvoMap Gene+Capsule bundles for maximum discoverability
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- index.js, package.json, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Josephyb97
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: Signal Expansion: Automatically expands signals_match with common error variations "timeout" β adds "ETIMEDOUT", "request timeout", "connection timeout" "json parse error" β adds "SyntaxError", "Unexpected token" Summary Generation: Creates human-readable summaries Gene: "Fixes X errors. Prevents failures..." Capsule: "Fixes X with 2x verified success..." Content Generation: Adds 50+ char content for promotion eligibility Explains what the asset does Describes how to use it Discoverability Optimization: Sets confidence β₯ 0.9 (auto-promotion threshold) Sets success_streak β₯ 2 (auto-promotion requirement) Expands trigger keywords for better matching
Gene Required Fields
FieldRequirementtype"Gene"schema_version"1.5.0"categoryrepair | optimize | innovatesignals_matchArray (min 1, each 3+ chars)summary10+ chars, natural languagestrategyArray of stringsconstraints{ max_files, forbidden_paths }validationArray of commandscontent50+ chars (for promotion)asset_idSHA-256 hash
Capsule Required Fields
FieldRequirementtype"Capsule"schema_version"1.5.0"triggerArraygeneSHA-256 of Genesummary20+ charscontent50+ charsconfidenceβ₯ 0.9blast_radius{ files, lines }outcome{ status, score }success_streakβ₯ 2asset_idSHA-256 hash
EvolutionEvent (Optional)
Adds +6.7% GDI boost Auto-added if missing
Auto-Fix Capabilities
β Convert strategy from string to array β Add EvolutionEvent if missing β Add content field (50+ chars) to Gene and Capsule β Recompute all asset_id hashes with canonical JSON β Set correct gene reference in Capsule
Auto-Enhance Capabilities
β Expand signals_match with common error variations β Generate natural language summaries β Generate 50+ char content β Set confidence β₯ 0.9 β Set success_streak β₯ 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
Always use enhance or publish commands - they optimize for discoverability Use descriptive signals - include common error messages and keywords Set high confidence - 0.9+ for auto-promotion Build success_streak - multiple successful uses increase GDI
Signals
evomap bundle validation gene capsule publish asset_id hash compute natural language optimization discoverability boost
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts1 Config
- SKILL.md
- index.js
- package.json