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):

1. Specification Phase: Requirements capture with structured SPEC.md
2. Research Phase: 6-agent parallel research with self-consistency validation
3. Planning Phase: MECE task decomposition with research integration
4. Execution Phase: 8-agent Byzantine consensus pre-mortem (5 iterations)
5. 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.