orchestrator

What This Skill Does

The Orchestrator skill transforms your OpenClaw AI into a strategic project manager and task delegator. Instead of performing single-step actions, the Orchestrator leverages the power of MCP (Model Context Protocol) and the Pi Agent to decompose complex, high-level objectives into actionable, logical sequences. It acts as the central brain, determining whether a task requires external research, local code generation, file manipulation, or specialized tool execution, ensuring that resources are applied efficiently to achieve the best result.

Installation

To install the Orchestrator skill, ensure you have the OpenClaw environment initialized, then run the following command in your terminal:

clawhub install openclaw/skills/skills/0xnagato/orchestrator

Use Cases

• Automated Research Pipelines: Automatically search for technical documentation, cross-reference multiple sources, and compile a summarized report.
• Complex Refactoring: Coordinate code analysis across multiple files using mcporter, generate refactor plans, and use the pi agent to execute those changes securely.
• Tool Orchestration: Seamlessly chain together disparate MCP tools, such as using a GitHub tool to fetch an issue, a search tool to find solutions, and a file-editing tool to implement the fix.

Example Prompts

1. "Orchestrator, analyze the current repository for outdated dependencies, research their modern replacements, and create a PR-ready plan to update them."
2. "I need a comparative analysis of the top 3 open-source vector databases. Please use the search tools to gather specs and the coding agent to create a summary table."
3. "Orchestrator, find the main error in the auth module, verify it using a small test script, and suggest a patch."

Tips & Limitations

To get the most out of the Orchestrator, always provide clear, modular goals. The skill works best when it can break a problem into distinct, independent phases. Because the Orchestrator manages multiple agents and tools, ensure your MCP server configuration is correctly set up before initiating long-running tasks. Note that this skill consumes more token credits than single-task skills due to its planning and iterative logic loops. Always review the final plan before allowing the agent to perform sensitive write operations to your local file system.