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: research-gap-visualizer description: Create visual maps of research gaps from literature analysis, showing what has been studied, what is missing, and where opportunities exist. Generates gap matrices, research landscape diagrams, and opportunity maps. Use after literature synthesis to visualize the state of research and identify promising directions. version: 1.0.0 category: research tags:
- research
- gaps
- visualization
- literature
- analysis author: ruv mcp_servers: required: [memory-mcp] optional: [sequential-thinking] auto_enable: true
Research Gap Visualizer
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
Purpose
Transform literature analysis into visual gap maps that clearly show what has been studied, what is missing, and where research opportunities exist. Provides visual evidence for research motivation in proposals and manuscripts.
When to Use This Skill
Activate this skill when:
- Completed literature synthesis and need to identify gaps
- Writing research motivation section (need visual evidence)
- Preparing grant proposals (need to show novelty)
- Planning research direction (need to see landscape)
- Defending thesis topic selection
DO NOT use this skill for:
- Initial literature search (use literature-synthesis first)
- Idea generation without literature context (use rapid-idea-generator)
- Detailed methodology planning (use research-driven-planning)
Visual Output Types
1. Gap Matrix
2D matrix showing which combinations of methods/domains have been studied vs unexplored.
2. Research Landscape Map
Bubble/scatter diagram showing density of research in different areas.
3. Temporal Gap Analysis
Timeline showing when topics were studied and which are stale.
4. Method-Application Matrix
Which methods have been applied to which problems.
5. Opportunity Quadrant
2x2 matrix of feasibility vs impact for potential research directions.
Input Contract
input:
literature_data: object (required)
papers: array[object]
title: string
year: number
methods: array[string]
domains: array[string]
key_findings: string
analysis_type: enum[gap_matrix, landscape, temporal, method_application, opportunity] (required)
dimensions:
x_axis: string # e.g., "methods", "year", "domain"
y_axis: string # e.g., "application", "dataset", "metric"
filters:
year_range: [start_year, end_year] (optional)
min_papers: number (default: 1)
output_format: enum[mermaid, ascii, markdown, graphviz] (default: mermaid)
Output Contract
output:
visualization:
type: string
format: string
code: string # Mermaid/GraphViz/ASCII code
gap_analysis:
total_cells: number
studied_cells: number
gap_cells: number
gap_percentage: number
identified_gaps:
high_priority: array[object]
description: string
evidence: string # Why this is a gap
opportunity_score: number
medium_priority: array[object]
low_priority: array[object]
recommendations:
top_opportunities: array[string]
rationale: array[string]
metadata:
papers_analyzed: number
dimensions_used: array[string]
generation_time: number
SOP Phase 1: Literature Data Parsing
Extract structured data from literature synthesis:
## Literature Parsing
**Papers Analyzed**: [N]
**Extracted Dimensions**:
- Methods: [list of unique methods]
- Domains: [list of unique domains/applications]
- Datasets: [list of unique datasets]
- Years: [range]
**Dimension Frequency**:
| Dimension | Count | Percentage |
|-----------|-------|------------|
| [Method 1] | [N] | [%] |
| [Method 2] | [N] | [%] |
SOP Phase 2: Gap Matrix Generation
Create the gap matrix visualization:
Gap Matrix Template (Markdown)
## Research Gap Matrix: [X-Axis] vs [Y-Axis]
| | [Y1] | [Y2] | [Y3] | [Y4] | [Y5] |
|-----------|------|--
/*----------------------------------------------------------------------------*/
/* 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]