Agent skill

moa

Mixture of Agents: Make 3 frontier models argue, then synthesize their best insights into one superior answer. ~$0.03/query.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill moa --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 1.2.0
Declared author: John Scianna (@Scianna)
Path: skills/ai-llm/moa/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Mixture of Agents (MoA) **TL;DR:** Make 3 AI models argue with each other. Get an answer better than any single model. Cost: ~$0.03. ## Two Usage Modes ### A. Standalone CLI (Node.js) ```bash export OPENROUTER_API_KEY="your-key" node scripts/moa.js "Your complex question" ``` ### B. OpenClaw Skill (Agent-orchestrated) ```bash # Install clawhub install moa # Or copy to ~/clawd/skills/moa/ ``` The agent can then invoke MoA for complex analysis tasks. --- ## Origin Story The concept of "Mixture of Agents" comes from research showing LLMs can improve each other's outputs through collaboration. I built this for VC deal analysis—when evaluating startups, you want multiple perspectives, not one model's opinion. **The journey:** 1. Started with 5 free OpenRouter models (Llama, Gemini, Mistral, Qwen, Nemotron) 2. Rate limits killed me at 2am during peak hours 3. Switched to 3 paid frontier specialists 4. Result: ~$0.03/query, answers better than any single model --- ## When to Use - **Complex analysis** — due diligence, market research, technical evaluation - **Brainstorming** — get diverse ideas, synthesize the best - **Fact-checking** — cross-reference across models with different train

What's inside
Steps it walks through
  1. Two Usage Modes
  2. A. Standalone CLI (Node.js)
  3. B. OpenClaw Skill (Agent-orchestrated)
  4. Origin Story
  5. When to Use
  6. Model Configuration
  7. Paid Tier (Default) — Recommended
  8. Free Tier (Fallback)
  9. How It Works
  10. API Reference
  11. Function Signature
  12. CLI Usage
  13. Programmatic Usage
  14. Failure Modes
Ships with 1 file
  • metadata.json
Commands it runs
export OPENROUTER_API_KEY="your-key"
node scripts/moa.js "Your complex question"
Install
clawhub install moa
Or copy to ~/clawd/skills/moa/
Paid tier (default)
Free tier
node scripts/moa.js "Your question" --free
node scripts/moa.js "Analyze the competitive landscape for AI code generation. \
Who has defensible moats? Who's likely to be commoditized? Be specific."
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About this skill
What does the moa skill do?

Mixture of Agents: Make 3 frontier models argue, then synthesize their best insights into one superior answer. ~$0.03/query.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill moa --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going