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mapping-visualization-scaffolds

mapping-visualization-scaffolds

github.com/lyndonklProductivity187106 installsUpdated 10w ago
Repository

About mapping-visualization-scaffolds

mapping-visualization-scaffolds is a skill for planning and creating maps of systems, concepts, and processes. It helps users choose a suitable diagram format, identify relationships, and validate the result for clarity and completeness.

Key features

  1. 01Purpose and scope clarification
  2. 02Node and relationship identification
  3. 03Format selection by complexity
  4. 04Markdown and ASCII map scaffolds
  5. 05Validation with quality criteria

Use cases

  1. 01Documenting system architecture and data flows
  2. 02Organizing concepts for learning or research
  3. 03Mapping project dependencies and risks
  4. 04Describing processes and user journeys

Install

Copy the command and run it in a terminal.

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

After installing, type/mapping-visualization-scaffoldsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

resources/
methodology.md
template.md
resources/evaluators/
rubric_mapping_visualization_scaffolds.json

Details

From the project README

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)

Comments

Markdown supported