research-driven-planning
Research-Driven Planning (Loop 1)
Purpose
Comprehensive planning with research-backed solutions and iterative risk mitigation that prevents 85-95% of problems before coding begins.
Specialist Agent Coordination
I coordinate multi-agent research and planning swarms using explicit agent SOPs from Claude-Flow's 86-agent ecosystem.
Methodology (SOP: Specification → Research → Planning → Execution → Knowledge):
- Specification Phase: Requirements capture with structured SPEC.md
- Research Phase: 6-agent parallel research with self-consistency validation
- Planning Phase: MECE task decomposition with research integration
- Execution Phase: 8-agent Byzantine consensus pre-mortem (5 iterations)
- Knowledge Phase: Planning package generation for Loop 2 integration
Integration: Loop 1 of 3. Feeds → parallel-swarm-implementation (Loop 2), Receives ← cicd-intelligent-recovery (Loop 3) failure patterns.
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