Agent skill

visual-asset-generator

View SKILL.md on GitHub Repository
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Forks 6

Install this agent skill to your Project

npx add-skill https://github.com/DNYoussef/context-cascade/tree/main/skills/specialists/visual-asset-generator

SKILL.md

/============================================================================/ /* 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: visual-asset-generator description: Automatically generate research diagrams, charts, tables, and visualizations from data or descriptions. Creates publication-ready visual assets including PRISMA flow diagrams, methodology flowcharts, results charts, comparison tables, and architecture diagrams. Use when preparing manuscripts, presentations, or documentation that requires professional visual elements. version: 1.0.0 category: research tags:

  • research
  • visualization
  • diagrams
  • charts
  • tables
  • publication author: ruv mcp_servers: required: [memory-mcp] optional: [] auto_enable: true

Visual Asset Generator

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

Purpose

Automatically generate publication-ready visual assets (diagrams, charts, tables) from data or descriptions in seconds, filling the gap between text-based research and visual communication.

When to Use This Skill

Activate this skill when:

  • Preparing figures for a research manuscript
  • Creating methodology flowcharts
  • Generating PRISMA flow diagrams for systematic reviews
  • Building comparison tables from research data
  • Designing architecture diagrams for systems/methods
  • Creating presentation slides with data visualizations
  • Documenting experimental pipelines

DO NOT use this skill for:

  • Fabricating data (this is unethical - we only visualize real data)
  • Complex statistical analysis (use appropriate analysis tools first)
  • Interactive dashboards (use dedicated BI tools)

Critical Design Principle

This skill NEVER fabricates data.

This skill only visualizes:

  1. Data explicitly provided by the user
  2. Placeholder templates clearly marked as "[YOUR DATA HERE]"
  3. Structural diagrams (flowcharts, architectures) without data

Supported Visual Asset Types

1. Research Diagrams

  • PRISMA flow diagrams
  • Methodology flowcharts
  • Experimental pipeline diagrams
  • System architecture diagrams
  • Conceptual framework diagrams
  • Decision trees

2. Data Visualizations

  • Bar charts (comparison)
  • Line charts (trends)
  • Scatter plots (correlations)
  • Box plots (distributions)
  • Heatmaps (matrices)
  • Confusion matrices

3. Tables

  • Comparison tables (methods, results)
  • Summary statistics tables
  • Feature matrices
  • Literature summary tables
  • Hyperparameter tables

4. Specialized Research Figures

  • Model architecture diagrams
  • Ablation study visualizations
  • Training curves
  • ROC/PR curves (from data)
  • Attention visualizations

Input Contract

yaml
input:
  asset_type: enum[diagram, chart, table, specialized] (required)

  subtype: string (required)
    # For diagrams: "prisma", "methodology", "pipeline", "architecture", "conceptual"
    # For charts: "bar", "line", "scatter", "box", "heatmap"
    # For tables: "comparison", "summary", "feature_matrix", "literature"
    # For specialized: "model_architecture", "ablation", "training_curves"

  data: object | array | null
    # Actual data to visualize (required for charts)
    # NULL for structural diagrams (will generate template)

  description: string (required for diagrams)
    # Natural language description of what to visualize

  style:
    format: enum[svg, mermaid, graphviz, ascii, markdown] (default: mermaid)
    color_scheme: enum[default, publication, presentation, minimal]
    size: enum[small, medium, large, full_page]

  output_preferences:
    include_caption: boolean (default: true)
    include_source_note: boolean (default: true)
    latex_compatible: boolean (default: false)

Output Contract

yaml
output:
  visual_asset:
    type: string
    subtype: string
    format: string
    content: string  # The actual diagram/chart/table code

  rendering:
    code: string  # Mermaid/GraphViz/Markdown code
    preview_instructions: string
    export_commands: array[string]

  caption:
    short: string
    long: string

  metadata:
    data_source: string  # "user_provided" | "template_placeholder"
 

/*----------------------------------------------------------------------------*/
/* 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]

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