An intelligent multi-agent coordination system that automatically analyzes tasks and selects the best AI agents to collaborate on complex projects.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agency-orchestrator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agency-orchestrator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Agency Orchestrator is a sophisticated coordination layer designed for high-level automation. By leveraging Openclaw Skills, it breaks down complex user prompts into actionable sub-tasks, intelligently routing them to a specialized pool of over 166 dedicated agents.
This skill eliminates the manual overhead of managing multiple AI interactions. It acts as a project manager, ensuring that specialized agents in design, engineering, and marketing work in harmony. Through continuous learning, the system refines its agent selection process after every interaction, making your Openclaw Skills ecosystem more efficient over time.
To integrate this skill into your workflow, ensure your environment is ready with the following steps:
# Install the agency-orchestrator package
pip install agency-orchestrator
# Configure your settings
vi ~/.openclaw/agency-agents-zh/config/settings.json
Agency Orchestrator maintains a transparent logging and configuration structure to ensure traceability of all Openclaw Skills operations:
| File Type | Path | Purpose |
|---|---|---|
| Configuration | ~/.openclaw/agency-agents-zh/config/settings.json |
System preferences and API settings |
| Dispatch Logs | ~/.openclaw/agency-agents-zh/logs/orchestrator_log.json |
Records of task distribution and agent assignments |
| Learning Logs | ~/.openclaw/agency-agents-zh/logs/learning_log.json |
Data used for optimizing future agent selection |
| Collaboration Logs | ~/.openclaw/agency-agents-zh/logs/collaboration_log.json |
Detailed history of inter-agent communication |
Loading
A specialized assistant for querying products, news, financial data, and official resources for the Aviation Industry Corporation of China.

An automated expert system designed to help consumers navigate complex payment network reason codes and successfully file transaction disputes.

A robust automation framework for tracking positions, scanning for opportunities, and executing trades on prediction markets like Kalshi and Polymarket.

An intelligent workflow that allows AI agents to detect tags in X threads, analyze full conversation context, and draft tone-accurate replies.

A sophisticated 5-layer memory architecture that provides AI agents with persistent, cross-session continuity and automated task tracking.

An automated diagnostic tool that identifies abnormal metric fluctuations by comparing real-time data against historical statistical baselines.








































