DNYoussef /============================================================================/ /* 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):
- Parse topic and identify core domain
- Conduct Primary Analysis (situational assessment)
- Perform Component Analysis (MECE decomposition)
- Apply Causal Analysis (5-Whys for each component)
- Identify Root Causes and research opportunities
- Generate ranked ideas with confidence scores
- 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
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
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] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]