MCPInstall

mapping-visualization-scaffolds

Creates visual maps that make implicit relationships, dependencies, and structures explicit through diagrams, concept maps, and architectural blueprints. Guides through identifying nodes and relationships, choosing visualization approaches, and validating completeness. Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/lyndonkl/claude --skill mapping-visualization-scaffolds
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads mapping-visualization-scaffolds automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Mapping & Visualization Scaffolds

Table of Contents

Workflow

Copy this checklist and track your progress:

Mapping Visualization Progress:
- [ ] Step 1: Clarify mapping purpose
- [ ] Step 2: Identify nodes and relationships
- [ ] Step 3: Choose visualization approach
- [ ] Step 4: Create the map
- [ ] Step 5: Validate and refine

Step 1: Clarify mapping purpose

Ask user about their goal: What system/concept needs mapping? Who's the audience? What decisions will this inform? What level of detail is needed? See Common Patterns for typical use cases.

Step 2: Identify nodes and relationships

List all key elements (nodes) and their connections (relationships). Identify hierarchy levels, dependency types, and grouping criteria. For simple cases (< 20 nodes), use resources/template.md. For complex systems (50+ nodes) or collaborative sessions, see resources/methodology.md for advanced strategies.

Step 3: Choose visualization approach

Select format based on complexity: Simple lists for < 10 nodes, tree diagrams for hierarchies, network graphs for complex relationships, or layered diagrams for systems. For large-scale systems or multi-map hierarchies, consult resources/methodology.md for mapping strategies and tool selection. See Common Patterns for guidance.

Step 4: Create the map

Build the visualization using markdown, ASCII diagrams, or structured text. Start with high-level structure, then add details. Include legend if needed. Use resources/template.md as your scaffold.

Step 5: Validate and refine

Check completeness, clarity, and accuracy using resources/evaluators/rubric_mapping_visualization_scaffolds.json. Ensure all critical nodes and relationships are present. Minimum standard: Score ≥ 3.5 average.

Common Patterns

Architecture Diagrams:

  • System components as nodes
  • Service calls/data flows as relationships
  • Layers as groupings (frontend, backend, data)
  • Use for: Technical documentation, system design reviews

Concept Maps:

  • Concepts/ideas as nodes
  • "is-a", "has-a", "leads-to" as relationships
  • Themes as groupings
  • Use for: Learning, knowledge organization, research synthesis

Dependency Graphs:

  • Tasks/features/modules as nodes
  • "depends-on", "blocks", "requires" as relationships
  • Phases/sprints as groupings
  • Use for: Project planning, risk assessment, parallel work identification

Hierarchies & Taxonomies:

  • Categories/classes as nodes
  • Parent-child relationships
  • Levels as groupings (L1, L2, L3)
  • Use for: Information architecture, org charts, skill trees

Flow Diagrams:

  • Steps/states as nodes
  • Transitions/decisions as relationships
  • Swim lanes as groupings (roles, systems)
  • Use for: Process documentation, user journeys, decision trees

Guardrails

Scope Management:

  • Focus on relationships that matter for the specific purpose
  • Don't map everything—map what's decision-relevant
  • Stop at appropriate detail level (usually 3-4 layers deep)
  • For systems with > 50 nodes, create multiple focused maps

Clarity Over Completeness:

  • Prioritize understandability over exhaustiveness
  • Use consistent notation and naming
  • Add legend if > 3 relationship types
  • Group related nodes to reduce visual complexity

Validation:

  • Verify accuracy with subject matter experts
  • Test if someone unfamiliar can understand the map
  • Check for missing critical relationships
  • Ensure directionality is clear (A → B vs A ← B)

Common Pitfalls:

  • ❌ Creating "hairball" diagrams with too many connections
  • ❌ Mixing abstraction levels (strategic + implementation details)
  • ❌ Using inconsistent node/relationship representations
  • ❌ Forgetting to state the map's purpose and scope

Quick Reference

Resources:

  • resources/template.md - Structured scaffold for creating maps
  • resources/evaluators/rubric_mapping_visualization_scaffolds.json - Quality criteria

Output:

  • File: mapping-visualization-scaffolds.md in current directory
  • Contains: Nodes, relationships, groupings, legend (if needed)
  • Format: Markdown with ASCII diagrams or structured lists

Success Criteria:

  • All critical nodes identified
  • Relationships clearly labeled with directionality
  • Appropriate grouping/layering applied
  • Understandable by target audience without explanation
  • Validated against quality rubric (score ≥ 3.5)

FAQ

What does the mapping-visualization-scaffolds skill do?

Creates visual maps that make implicit relationships, dependencies, and structures explicit through diagrams, concept maps, and architectural blueprints. Guides through identifying nodes and relationships, choosing visualization approaches, and validating completeness. Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.

How do I install mapping-visualization-scaffolds?

Run npx skills add https://github.com/lyndonkl/claude --skill mapping-visualization-scaffolds in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/mapping-visualization-scaffolds/ (personal) or .claude/skills/mapping-visualization-scaffolds/ (project).

Which AI agents can use mapping-visualization-scaffolds?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is mapping-visualization-scaffolds safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains mapping-visualization-scaffolds?

It is published by lyndonkl in lyndonkl/claude. It has 106 recorded installs.

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