Files
The Doctor (MyClaw) fd6c8c403e feat(v0.13.0): mass import — 611 → 1211 skills (+600 new)
Bulk import from openclaw/skills official Archive (3,600+).
Quality filter: SKILL.md 800B-30KB with proper YAML frontmatter.

Coverage areas:
- Crypto / Web3 / DeFi / Trading bots
- Feishu / DingTalk / Enterprise WeChat
- Business systems (freelance ops, performance eng, legal docs)
- Document templates / PPT design / OCR
- Email / CRM / Customer service
- Financial analytics / Stock trading
- AI tools / Agent collaboration / Model management
2026-05-05 16:03:12 +00:00
..

Agent Avengers

🦸 All-in-One Multi-Agent Orchestration

한국어 README

Installation

clawhub install agent-avengers

Or clone directly:

git clone https://github.com/oozoofrog/agent-avengers.git ~/.openclaw/workspace/skills/agent-avengers

Usage

Avengers assemble! [complex task description]

Examples

Avengers assemble! Analyze competitors A, B, and C, then create a comparison report
Avengers assemble! Build a full-stack todo app with React frontend and Node.js backend

How It Works

  1. Decompose — Break down the task into subtasks
  2. Compose — Assign specialized agents to each subtask
  3. Execute — Run in parallel or sequential order
  4. Consolidate — Collect and merge results
  5. Report — Deliver final output

Agent Types

Type Role
🔬 Researcher Investigation, data collection
🔍 Analyst Analysis, pattern discovery
🖊️ Writer Documentation, content creation
💻 Coder Code implementation
Reviewer Quality review
🔧 Integrator Result consolidation

Agent Modes

Mode Description
🔷 Existing Use registered agents (watson, picasso, etc.)
🔶 Spawned Create one-off sub-agents on demand
🟣 Multi-Profile Involve other OpenClaw bot instances
🔷🔶🟣 Hybrid Combine all modes (recommended)

Emergent Collaboration Patterns

  • 🗳️ Competitive Draft — Multiple agents work independently, best solution wins
  • 🎭 Role Rotation — Agents swap roles each round
  • ⚔️ Adversarial Collaboration — Creator vs Critic iterations
  • 🧬 Evolutionary Selection — Solutions crossbreed and evolve
  • 🐝 Swarm Intelligence — Many micro-agents tackle small chunks
  • 🔗 Chain Relay — Output → Input chaining
  • 💭 Consensus Protocol — Unanimous agreement required
  • 🎪 Cross-Domain Jam — Combine different expertise areas
  • 🪞 Meta Observer — Agent watches and coaches the team
  • Temporal Split — Short/mid/long-term parallel approaches
  • 🎰 Task Auction — Confidence-based bidding
  • 🧠 Shared Memory — Real-time discovery sharing

Configuration

avengers.yaml:

maxAgents: 5
timeoutMinutes: 120
retryCount: 2
defaultModel: sonnet

Scripts

Script Description
scripts/assemble.py Task decomposition & plan generation
scripts/execute.py Generate execution commands
scripts/monitor.py Progress monitoring (supports --watch)
scripts/consolidate.py Result consolidation

License

MIT