Agent skill · product strategy · aiskillstore
parallel-swarm-implementation
Loop 2 of the Three-Loop Integrated Development System. META-SKILL that dynamically compiles Loop 1 plans into agent+skill execution graphs. Queen Coordinator selects optimal agents from 86-agent registry and assigns skills (when available) or custom instructions. 9-step swarm with theater detection and reality validation. Receives plans from research-driven-planning, feeds to cicd-intelligent-recovery. Use for adaptive, theater-free implementation.
Why this skill is useful
Adds a dynamic orchestration framework for multi-agent execution that significantly enhances adaptive project implementation capabilities.
What it needs
About 9k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Parallel Swarm Implementation (Loop 2) - META-SKILL Purpose META-SKILL ORCHESTRATOR that dynamically compiles Loop 1 planning packages into executable agent+skill graphs, then coordinates theater-free parallel implementation. Specialist Agent Coordination I am Queen Coordinator (Seraphina) orchestrating the "swarm compiler" pattern. Meta-Skill Architecture: 1. Analyze Loop 1 planning package 2. Select optimal agents from 86-agent registry per task 3. Assign skills to agents (when skills exist) OR generate custom instructions 4. Create agent+skill assignment matrix 5. Execute dynamically based on matrix with continuous monitoring 6. Validate theater-free execution through multi-agent consensus Methodology (9-Step Adaptive SOP): 1. Initialization: Queen-led hierarchical topology with dual memory 2. Analysis: Queen analyzes Loop 1 plan and creates agent+skill matrix 3. MECE Validation: Ensure tasks are Mutually Exclusive, Collectively Exhaustive 4. Dynamic Deployment: Spawn agents with skills OR custom instructions per matrix 5. Theater Detection: 6-agent consensus validation (0% tolerance) 6. Integration: Sandbox testing until 100% working 7. Documentation: Auto-sync with implementation 8. Test Validation: Reality check all tests 9. Completion: Package for Loop 3 Integration: Loop 2 of 3. Receives → research-driven-planning (Loop 1), Feeds → cicd-intelligent-recovery (Loop 3). …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/parallel-swarm-implementation