Skill Discoverer is an intelligent L0 entry-layer engine that helps users find, combine, and learn how to use AI agent capabilities using vector-based similarity and task analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-discoverer-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-discoverer-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Discoverer?
Skill Discoverer acts as the primary gateway for users looking to navigate the vast ecosystem of Openclaw Skills. It functions as a discovery and guidance engine that leverages vector similarity matching and task-type analysis to recommend the most suitable tools for any given objective.
By synthesizing core value propositions and providing interactive usage guides, Skill Discoverer significantly reduces the learning curve for complex AI workflows. It ensures that users are not just finding tools, but understanding how to orchestrate them effectively to maximize synergy and operational efficiency.
Skill Discoverer Use Cases
- Identifying the most relevant tools for specific technical tasks like deep architecture analysis.
- Creating automated multi-skill workflows by combining disparate agents into a cohesive process.
- Onboarding new developers through step-by-step interactive tutorials for specialized skills.
- Planning long-term skill development paths to master AI-driven automation.
How Skill Discoverer Works
- The user provides a task description or keyword which the engine processes using semantic similarity matching against the library of Openclaw Skills.
- The system analyzes the task category (Technical, Business, Creative, or Development) to narrow down the most effective agent tools.
- It calculates synergy scores for skill combinations, suggesting a sequence of agents that can complete complex end-to-end workflows.
- Once a skill is selected, the engine initiates an interactive tutorial that walks the user through initialization, basic usage, and advanced implementation.
Skill Discoverer Setup
To get started with the discovery engine, ensure your environment is configured for Openclaw Skills development.
# Install the discoverer package via your terminal
claw install skill-discoverer
# Initialize the vector search index
skill-discoverer --sync-hub
After installation, you can immediately begin querying for skills using natural language commands.
Skill Discoverer Data Schema & Taxonomy
The skill organizes its internal logic and metadata to provide high-precision recommendations. The following table describes the core data components:
| File | Responsibility | Key Metadata |
|---|---|---|
search.js |
Vector matching logic | Semantic tags, similarity scores |
recommend.js |
Orchestration engine | Synergy values, task-to-skill mappings |
guide.js |
Tutorial state management | Interaction steps, user feedback loops |
package.json |
Dependency tracking | Versioning, Model (Sonnet) requirements |
Skill Discoverer Advanced Features
- Vector-based semantic search for finding tools based on intent rather than just keywords.
- Synergy Value Calculation which predicts the efficiency gain of using specific skill combinations.
- Multi-stage interactive tutorials that provide real-time feedback during the learning process.
- Integration with meta-skill-weaver for advanced process orchestration and multi-agent coordination.
- Automated recommendation optimization based on user satisfaction and usage frequency.
SKILL.md
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