Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Coordinates multiple agents and tasks for complex, multi-step workflows. Handles parallel execution, dependency resolution, state tracking, and error recovery across subagents. Supports sequential, pipeline, and supervisor orchestration patterns.
Handles dependency ordering and failure recovery automatically, removing the need to manually sequence or restart agents when one step fails.
When to use it
- Running a five-agent research project with parallel data collection
- Building a content pipeline from topic research to final publication
- Coordinating analysis, coding, and QA agents on a software feature
- Retrying or rerouting a failed subagent mid-workflow without restarting from scratch
- Resolving task dependencies before executing a multi-step data analysis
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Orchestrate a research project with data collection, analysis, and report writing'
- 1Break the project into subtasks: research, data collection, analysis, writing, QA review
- 2Spawn a dedicated subagent for each subtask with scoped instructions
- 3Run research and data collection agents in parallel
- 4Pass collected outputs to the analysis agent once its dependencies resolve
- 5Route analysis results to the writing agent and aggregate the final report
A completed research report produced by coordinated subagents, with progress tracked and partial failures handled automatically
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.