Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Add package.json (ClawHub fix), version badges, improved docs
What This Skill Does
Spawns three specialized sub-agents (Scholar, Engineer, Muse) in parallel to analyze a question from research, logic, and creative angles. A coordinator agent synthesizes their outputs, with an optional second round where agents cross-examine each other's findings and update their positions. Models per role are configurable via flags or a saved config file.
Running parallel specialist agents with an optional cross-examination round surfaces contradictions and blind spots that a single-agent response typically misses.
When to use it
- Comparing database or infrastructure options for a new project
- Getting a code review from research, logic, and readability angles at once
- Evaluating a financial or investment decision with structured debate
- Stress-testing architectural trade-offs before committing to an approach
- Diagnosing a complex problem that has no obvious single correct answer
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: /roundtable Should I use PostgreSQL or MongoDB for a new SaaS app?
- 1Captain parses the command and decomposes the question into role-specific sub-tasks
- 2Scholar, Engineer, and Muse sub-agents are spawned in parallel with focused prompts and security wrappers
- 3Each agent returns structured findings with confidence ratings and dissent notes
- 4Captain summarizes Round 1, then spawns three Round 2 agents to challenge each other's conclusions
- 5Captain synthesizes consensus, conflicts, and any changed positions into a final answer
A structured council answer with confidence level, points of agreement, dissent rationale, and consolidated source citations