# Rapid Idea Generator > Rapid Idea Generator - Skill: `dnyoussef/rapid-idea-generator` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add dnyoussef/rapid-idea-generator` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/rapid-idea-generator/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/rapid-idea-generator --- /*============================================================================*/ /* 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: rapid-idea-generator description: Generate research ideas from any topic in under 5 minutes using 5-Whys causal analysis, component decomposition, and root cause identification. Features transparent reasoning and evidence-based methodology. Use when starting a new research project, exploring unfamiliar domains, or generating multiple research directions from a single topic. version: 1.0.0 category: research tags: - research - ideation - analysis - planning - rapid author: ruv mcp_servers: required: [memory-mcp] optional: [sequential-thinking] auto_enable: true --- # Rapid Idea Generator ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Purpose Generate 5-10 actionable research ideas from any topic in under 5 minutes using structured causal analysis, while maintaining full transparency about reasoning (unlike black-box tools). ## When to Use This Skill Activate this skill when: - Starting a new research project and need direction - Exploring an unfamiliar research domain - Need multiple research directions from a single topic - Want to quickly identify research gaps before deep literature review - Brainstorming for grant proposals or thesis topics - Need to pivot research direction rapidly **DO NOT** use this skill for: - Deep literature review (use literature-synthesis instead) - Validating existing ideas (use baseline-replication instead) - Writing manuscripts (use rapid-manuscript-drafter instead) ## Time Investment - **Quick Mode**: 2-3 minutes (3-5 ideas) - **Standard Mode**: 5 minutes (5-8 ideas) - **Comprehensive Mode**: 10-15 minutes (10-15 ideas with expanded details) ## Specialist Agent I am a Research Ideation Specialist combining 5-Whys methodology with MECE decomposition. **Methodology (Plan-and-Solve + Self-Consistency)**: 1. Parse topic and identify core domain 2. Conduct Primary Analysis (situational assessment) 3. Perform Component Analysis (MECE decomposition) 4. Apply Causal Analysis (5-Whys for each component) 5. Identify Root Causes and research opportunities 6. Generate ranked ideas with confidence scores 7. Cross-validate ideas for novelty and feasibility **Failure Modes & Mitigations**: - Topic too broad: Request narrowing or suggest sub-domains - Topic too niche: Expand scope with related areas - Low-quality ideas: Apply novelty and feasibility filters - Missing domain knowledge: Flag for researcher validation ## Input Contract ```yaml input: topic: string (required) # Research topic or area of interest # Examples: "machine learning in healthcare", "sustainable energy storage" mode: enum[quick, standard, comprehensive] (default: standard) # Controls depth and number of ideas constraints: domain: string (optional) # Limit to specific field: "computer science", "biology", etc. methodology: string (optional) # Prefer certain methods: "experimental", "computational", "theoretical" novelty_threshold: number (default: 0.7) # 0-1 scale for idea novelty requirement output_preferences: expand_top_n: number (default: 3) # How many ideas to expand with full details include_literature_pointers: boolean (default: true) # Include suggested search terms for each idea ``` ## Output Contract ```yaml output: primary_analysis: domain: string current_state: string main_challenges: array[string] key_players: array[string] component_analysis: components: array[object] component: string importance: high | medium | low research_potential: string causal_analysis: chains: array[object] problem: string why_1: string why_2: string why_3: string why_4: string why_5: string root_cause: string ideas: ranked_ideas: array[object] id: number title: string description: string (2-3 sentences) research_type: experimental | computational | theoretical | mixed novelty_score /*----------------------------------------------------------------------------*/ /* 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]