Multi Agent Orchestration

What This Skill Does

The Multi Agent Orchestration skill, developed by dabruhce, transforms OpenClaw into a comprehensive colony-based task management system. It acts as an autonomous project manager, allowing you to delegate complex, multi-stage tasks to a specialized team of AI agents. Instead of managing individual prompts for isolated tasks, this skill enables you to orchestrate high-level workflows that involve research, technical implementation, and content creation simultaneously. The skill features robust audit logging and agent memory retention, ensuring that your collaborative projects maintain continuity and progress tracking across multiple execution sessions.

Installation

To integrate this orchestration engine into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/dabruhce/multi-agent-orchestration

Ensure your local environment is configured with the necessary dependencies as outlined in the repository documentation to support the node scripts/colony.mjs runtime environment. Once installed, you can immediately begin initializing agent tasks and multi-stage processes via the command-line interface provided.

Use Cases

This skill is designed for complex, non-linear workflows that require cross-disciplinary input. Ideal use cases include:

• Technical Product Development: Combining researcher agents (scout) for market analysis with developer agents (pincer) to refactor code modules and ops agents (shell) for deployment.
• Content Marketing Pipelines: Automatically chaining ideas from creative agents (muse), drafting from writers (scribe), and social promotion via social agents (echo).
• Automated Bug Triage: Assigning technical specialists (sentry) to verify bugs followed by pincer agents to propose code fixes.
• Business Strategy: Using ledger agents to perform financial analysis on product roadmaps created by forge agents.

Example Prompts

1. "Colony, start the validate-idea process for a new automated grocery shopping app using the validate-idea pipeline."
2. "Assign the pincer agent to refactor our current authentication module to support OAuth 2.0 and notify me when complete."
3. "Run a full audit of all recent tasks and summarize the findings from the scout agent regarding the latest competitor trends in vector databases."

Tips & Limitations

For the best results, use the 'dispatch' command for general queries, as it utilizes keyword routing to match the most appropriate specialized agent. When running complex processes, always monitor the status using node scripts/colony.mjs status to ensure that critical checkpoints are reached and approved. Note that because this skill involves multi-agent interactions and potential code execution, it is recommended to review logs via the audit command periodically. Be mindful that agent performance is contingent on the clarity of the initial context provided during process initialization; the more specific your context, the more accurate the orchestrator's agent assignments will be.