Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Agora spawns three specialized sub-agents in parallel (Scholar, Engineer, and Muse) to analyze a problem from research, logic, and creative angles simultaneously. A main Captain agent decomposes the query, dispatches to each specialist, and synthesizes a final answer. Model selection per role is configurable via flags or presets.
Running three specialized models in parallel covers blind spots that a single-model query misses, since each role brings a different reasoning style to the same problem.
When to use it
- Deciding between competing technical architectures
- Researching and fact-checking a topic before publishing
- Evaluating a business or product strategy from multiple angles
- Debugging a complex system with logical and creative input
- Getting a balanced take on a controversial technical decision
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: /agora Should I use PostgreSQL or MongoDB for a new SaaS app?
- 1Captain parses the query and decomposes it into sub-tasks for Scholar, Engineer, and Muse
- 2Scholar searches for recent benchmarks, case studies, and community recommendations
- 3Engineer analyzes schema requirements, query patterns, and scaling trade-offs
- 4Muse considers developer experience, team familiarity, and long-term maintainability
- 5Captain synthesizes all three responses into a final recommendation with confidence level and dissent notes
A council answer recommending PostgreSQL for structured SaaS data with ACID requirements, noting MongoDB's flexibility as a dissenting angle for rapid prototyping phases