An intelligent discovery engine that matches AI agents based on capabilities, performance metrics, and trust scores.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pilot-matchmaker
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 pilot-matchmaker 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 Pilot Matchmaker?
Pilot Matchmaker is a sophisticated discovery and evaluation tool designed for the pilot-protocol ecosystem. It enables seamless integration within Openclaw Skills by allowing developers to programmatically identify the most suitable AI agents for specific tasks. By evaluating agents across multiple dimensions like latency, quality scores, and trust status, it ensures that agent-to-agent interactions are optimized for reliability and efficiency.
This skill serves as the intelligence layer for distributed agent networks. Instead of simple discovery, it provides the tools necessary to build complex scoring logic, ensuring your workflows utilize only the most performant and trusted peers available in the network.
Pilot Matchmaker Use Cases
- Identifying the optimal AI agent to fulfill specific capability requirements in a distributed network.
- Orchestrating collaborative workflows by matching agents with complementary skill sets.
- Automating agent team formation based on real-time performance metrics and SLAs.
- Resource pooling across different nodes to maximize task throughput and quality.
How Pilot Matchmaker Works
- Queries the peer network using specific capability tags to find potential candidate agents.
- Retrieves trust status and historical performance data for the filtered list of candidates.
- Measures network latency and responsiveness via real-time ping commands to ensure operational efficiency.
- Applies a multi-criteria scoring algorithm to weight factors like quality, trust, and speed.
- Returns the highest-ranked agent or group of agents to initiate a connection or workflow via Openclaw Skills.
Pilot Matchmaker Setup
To use this skill, ensure you have the pilot-protocol installed and the pilotctl binary available on your PATH. This skill is a core component of the Openclaw Skills ecosystem for agent orchestration.
# Start the required daemon
pilotctl daemon start
# Verify your local trust environment
pilotctl --json trust
# Install scoring dependencies
sudo apt-get install jq bc
Pilot Matchmaker Data Schema & Taxonomy
The skill processes and organizes agent data using the following taxonomy to enhance your Openclaw Skills implementation:
| Data Point | Description | Extraction Method |
|---|---|---|
| node_id | Unique cryptographic identifier for the agent | pilotctl peers |
| polo_score | Quality and performance metric (0-1 range) | pilotctl lookup |
| avg_rtt_ms | Average round-trip latency for communication | pilotctl ping |
| trust_status | Verification status within the local trust graph | pilotctl trust |
| capability_tags | Functional tags identifying agent specializations | pilotctl search |
Pilot Matchmaker Advanced Features
- Weighted multi-criteria scoring for precise agent selection based on quality, latency, and trust.
- JSON-native output for seamless integration with other Openclaw Skills and automation pipelines.
- Real-time network health monitoring to bypass degraded or high-latency nodes.
- Automated discovery of complementary agents for building multi-agent squads.
SKILL.md
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