Agent skill · product strategy · aiskillstore
research-driven-planning
Loop 1 of the Three-Loop Integrated Development System. Research-driven requirements analysis with iterative risk mitigation through 5x pre-mortem cycles using multi-agent consensus. Feeds validated, risk-mitigated plans to parallel-swarm-implementation. Use when starting new features or projects requiring comprehensive planning with <3% failure confidence and evidence-based technology selection.
Why this skill is useful
Adds a structured methodology for comprehensive planning and risk mitigation that includes multi-agent coordination and evidence-based technology selection.
What it needs
About 8k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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. --- When to Use This Skill Activate this skill when: Starting a new feature or project requiring comprehensive planning Need to prevent problems before coding begins (85-95% failure prevention) Want research-backed solutions instead of assumptions (30-60% time savings) Require risk analysis with <3% failure confidence Building something complex with multiple failure modes Need evidence-based planning that feeds into implementation DO NOT use this skill for: Quick fixes or trivial changes (use direct implementation) Well-understood repetitive tasks (use existing patterns) Emergency hotfixes (skip to Loop 2) --- Input Contract Output Contract --- SOP Phase 1: Specification Objective: Define initial requirements with clarity and structure. Create SPEC.md Generate a comprehensive specification document in the project root: Store Initial Context Output: Structured SPEC.md file and memory-stored specification --- SOP Phase 2: Research (Multi-Agent Evidence Collection) Objective: Comprehensive solution discovery using evidence-based research with self-consistency validation. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/research-driven-planning