# Research Driven Planning > Research Driven Planning - Skill: `dnyoussef/research-driven-planning` (Agent Skill, multi-file: 8 files) - Install (CLI): `npx skillmds@latest add dnyoussef/research-driven-planning` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/research-driven-planning/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Research & Search - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/research-driven-planning --- /*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: SKILL version: 1.0.0 description: | [assert|neutral] SKILL skill for research workflows [ground:given] [conf:0.95] [state:confirmed] category: research tags: - general author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute SKILL workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic research processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "SKILL", category: "research", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["SKILL", "research", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ name: research-driven-planning description: 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. version: 1.0.0 category: research tags: - research - analysis - planning author: ruv --- # Research-Driven Planning (Loop 1) ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## 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 ```yaml input: project_description: string (required) # High-level description of what needs to be built requirements: functional: array[string] (required) # Core features and capabilities non_functional: object (optional) performance: string security: string scalability: string constraints: technical: array[string] (stack, framework, dependencies) timeline: string (deadlines, milestones) resources: object (team, budget, infrastructure) options: research_depth: enum[quick, standard, comprehensive] (default: standard) premortem_iterations: number (default: 5, range: 3-10) failure_threshold: number (default: 3, target: <3%) ``` ## Output Contract ```yaml output: specification: spec_file: path # SPEC.md location requirements_complete: boolean success_criteria: array[string] research: evidence_sources: number # Total research sources recommendations: array[object] solution: string confidence: number (0-100) evidence: array[url] risk_landscape: array[object] risk: string severity: enum[low, medium, high, critical] mitigation: string planning: enhanced_plan: path # plan-enhanced.json location total_tasks: number task_dependencies: object estimated_complexity: string risk_analysis: premortem_iterations: number final_failure_confidence: number # Target: <3% critical_risks_mitigated: number defense_strategies: array[string] integration: planning_package: path # loop1-planning-package.json memory_namespace: string # integration/loop1-to-loop2 ready_for_loop2: boolean ``` --- ## SOP Phase 1: Specification **Objective**: Define initial /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/research/SKILL/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "SKILL-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] SKILL_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]