lobster-coordinator
by PromptSpace
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
One-time purchase
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
See it in action
[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 PromptSpace
Production-grade 3-layer agent orchestration with dual-blind verification and automated model routing.
Free
One-time purchase
⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
See it in action
[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.
How to Install
mkdir -p ~/.claude/skills/lobster-coordinator && curl -s -X POST 'https://api.promptspace.in/api/skills/lobster-coordinator/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/lobster-coordinator/SKILL.mdFree skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
OpenClaw, Cursor, Claude Code, Codex CLI
Creator
PromptSpace
We build AI agent skill packages for content creators. Specializing in Chinese social media automation.