Lobster Coordinator
by 王晓菲
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
- Decompose complex software tasks into parallel sub-agent workflows.
- Enforce dual-blind 'Santa Method' code reviews for production releases.
- Optimize API costs by routing sub-tasks to smaller, cheaper models.
Free
See it in action
You say
Run complex orchestration on our PR backlog. Use the Santa Method to verify the code changes and merge once both independent reviewers give the green light.
Your agent does
[Coordinator] Decomposing task into 3 sub-units... [Worker-1] Status: DONE | [Review-A] Spec: PASS | [Review-B] Quality: PASS [Santa-Verify] Independent Reviewer C: PASS | Independent Reviewer D: PASS [Coordinator] All checks passed. Merging 142 lines of verified code to main.
Lobster Coordinator
by 王晓菲
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
Free
Included in download
- Downloadable skill package
- Works with Claude Code (v2.1.88+), OpenClaw
- Instant install
See it in action
You say
Run complex orchestration on our PR backlog. Use the Santa Method to verify the code changes and merge once both independent reviewers give the green light.
Your agent does
[Coordinator] Decomposing task into 3 sub-units... [Worker-1] Status: DONE | [Review-A] Spec: PASS | [Review-B] Quality: PASS [Santa-Verify] Independent Reviewer C: PASS | Independent Reviewer D: PASS [Coordinator] All checks passed. Merging 142 lines of verified code to main.
About This Skill
What it does
The Lobster Coordinator is a high-fidelity orchestration framework reverse-engineered from production-grade agentic platforms like Claude Code. It moves beyond simple prompting by implementing a 3-layer architecture: AgentTool for task delegation, Swarm for team messaging, and Coordinator for global task decomposition and aggregation.
Why use this skill
Building reliable multi-agent systems is difficult. This skill provides a battle-tested blueprint that eliminates "agent loop" failures through secondary verification layers. It prevents hallucinations and technical debt by enforcing strict multi-stage reviews extracted from the Santa Method and Superpowers frameworks.
- Two-Stage Review: Automated checks for Spec Compliance followed by Code Quality.
- Santa Method: Dual-blind verification where two independent reviewers must approve code before merging.
- Model Routing: Optimize costs by routing tasks to model tiers based on complexity (Cheap/Standard/Elite).
- Status Handling: Robust state management for agents that are DONE, BLOCKED, or NEED_CONTEXT.
Supported tools
This skill is designed for advanced AI environments like OpenClaw, Claude Code, or Cursor, specifically utilizing capabilities like sessions_spawn for isolated sub-agent execution.
Use Cases
- Decompose complex software tasks into parallel sub-agent workflows.
- Enforce dual-blind 'Santa Method' code reviews for production releases.
- Optimize API costs by routing sub-tasks to smaller, cheaper models.
- Isolate tool permissions across different specialized agent roles.
Known Limitations
- Requires high-tier model API limits for parallel sub-agent spawning.
- Overhead from dual-blind reviews may increase latency on trivial tasks.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
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No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
Allowed Hosts
Claude Code (v2.1.88+), OpenClaw, and agents supporting sessions_spawn.
Creator
Frequently Asked Questions
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