Agent skill

visual-asset-generator

View SKILL.md on GitHub Repository
Stars 27
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]

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

DNYoussef/context-cascade

cognitive-mode

Comprehensive cognitive mode management skill for the VERILINGUA x VERIX x DSPy x GlobalMOO integration. Enables automatic mode selection, frame configuration, VERIX epistemic notation, and GlobalMOO optimization. Use this skill when configuring AI behavior for specific task types, optimizing prompt engineering, or ensuring epistemic consistency in responses.

27 6
Explore
DNYoussef/context-cascade

bootstrap-loop

27 6
Explore
DNYoussef/context-cascade

fix-bug

Fix bug command

27 6
Explore
DNYoussef/context-cascade

clarity-linter

27 6
Explore
DNYoussef/context-cascade

dependencies

27 6
Explore
DNYoussef/context-cascade

when-mapping-dependencies-use-dependency-mapper

27 6
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results