Skill Trigger V2

What This Skill Does

Skill Trigger V2 is a sophisticated, high-performance semantic routing engine designed for the OpenClaw AI agent ecosystem. Created by halfmoon82, this skill serves as the central intelligent hub for intent matching, bridge-building between natural language inputs and specific agent capabilities. It employs a unified thresholding and priority arbitration architecture, which ensures that user requests are mapped to the most relevant skills with high precision. By leveraging a robust indexing system and a configurable semantic layer, it minimizes "hallucination" in intent classification, allowing the OpenClaw agent to decide exactly which tools to invoke based on confidence scores and developer-defined priority weights (L0-L3).

Installation

The installation process is streamlined through a guided CLI utility. First, ensure you have the OpenClaw runtime environment. Use the command clawhub install openclaw/skills/skills/halfmoon82/skill-trigger-v2 to pull the package. Once installed, navigate to the skill directory and execute python3 ~/.openclaw/workspace/skills/skill-trigger-v2/setup/wizard.py check to verify system dependencies. If skill-quick-index or semantic-router are missing or below the required versions, follow the wizard's instructions to perform a clawhub install for the specific components. Finally, run the init command to bootstrap the global configuration file and start the service.

Use Cases

Skill Trigger V2 is essential for agents that require multi-tool coordination. Use this skill when your agent manages a diverse set of capabilities—such as file system manipulation, API integration, and web navigation—and needs to determine which one is appropriate for a given task. It is particularly effective in complex workflows where multiple skills might overlap in functionality, as the priority arbitration system resolves conflicts by weighting specific, high-priority skills (L0) over generic ones (L3).

Example Prompts

1. "Analyze this file and create a summary report using the data tool."
2. "Go to the developer documentation and check for any syntax updates."
3. "Open the browser and find the latest security patches for our repo."

Tips & Limitations

To optimize performance, adjust the coverage threshold in the configuration file; lowering it allows for broader matching, while raising it makes the agent more selective. If your agent is triggering the wrong tool, check the level_weights in your config. Note that this skill requires the skill-quick-index and semantic-router dependencies to be up-to-date. Do not attempt to run this without properly initializing the index, as the semantic routing engine relies on the pre-processed metadata generated during the wizard.py init phase.