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mapping-visualization-scaffolds skill

/skills/mapping-visualization-scaffolds

This skill helps you create visual maps of systems, relationships, and processes to improve understanding and planning.

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SKILL.md
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---
name: mapping-visualization-scaffolds
description: 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, planning information architecture, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.
---

# Mapping & Visualization Scaffolds

## Table of Contents
- [Purpose](#purpose)
- [When to Use](#when-to-use)
- [What Is It](#what-is-it)
- [Workflow](#workflow)
- [Common Patterns](#common-patterns)
- [Guardrails](#guardrails)
- [Quick Reference](#quick-reference)

## Purpose

Create visual maps that make implicit relationships, dependencies, and structures explicit through diagrams, concept maps, and architectural blueprints.

## When to Use

Use mapping-visualization-scaffolds when you need to:

**System Understanding:**
- Document complex system architectures (microservices, infrastructure, data flows)
- Map component dependencies and relationships
- Visualize API endpoints and integration points
- Understand legacy system structure

**Knowledge Organization:**
- Create concept maps for learning or teaching
- Build taxonomies and hierarchies
- Organize research literature or domain knowledge
- Structure information architecture

**Process & Flow Documentation:**
- Map user journeys and workflows
- Create decision trees and flowcharts
- Document approval chains or escalation paths
- Visualize project dependencies and timelines

**Strategic Visualization:**
- Map stakeholder relationships and influence
- Visualize organizational structures
- Create competitive landscape maps
- Document value chains or business models

## What Is It

A mapping scaffold is a structured approach to creating visual representations that show:
- **Nodes** (components, concepts, people, steps)
- **Relationships** (connections, dependencies, hierarchies, flows)
- **Attributes** (properties, states, metadata)
- **Groupings** (clusters, categories, layers)

**Quick Example:**

For a microservices architecture:
```
Nodes: API Gateway, Auth Service, User Service, Payment Service, Database
Relationships:
  - API Gateway → calls → Auth Service
  - Auth Service → validates → User Service
  - Payment Service → reads/writes → Database
Groupings: Frontend Layer, Business Logic Layer, Data Layer
```

This creates a visual map showing how services connect and depend on each other.

## 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](#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](resources/template.md). For complex systems (50+ nodes) or collaborative sessions, see [resources/methodology.md](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](resources/methodology.md) for mapping strategies and tool selection. See [Common Patterns](#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](resources/template.md) as your scaffold.

**Step 5: Validate and refine**

Check completeness, clarity, and accuracy using [resources/evaluators/rubric_mapping_visualization_scaffolds.json](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)

Overview

This skill helps create clear visual maps that reveal relationships, dependencies, and structure across complex systems, processes, and knowledge domains. It provides a practical scaffold for identifying nodes, relationships, attributes, and groupings so you can produce architecture diagrams, concept maps, flowcharts, taxonomies, and dependency graphs. The goal is actionable visual documentation that supports decision making and knowledge transfer.

How this skill works

I guide you through a five-step workflow: clarify purpose, list nodes and relationships, choose an appropriate visualization type, build the map, and validate against quality criteria. The skill suggests formats (tree, network, layered, flow) and grouping strategies, and emphasizes directionality, naming consistency, and a legend when needed. For large or collaborative mappings it recommends breaking systems into multiple focused maps and using evaluation rubrics to ensure clarity.

When to use it

  • Document system architectures, microservices, data flows, or integration points
  • Map component dependencies, API relationships, or legacy systems
  • Create concept maps, taxonomies, or topic hierarchies for learning and research
  • Visualize user journeys, workflows, decision trees, or approval chains
  • Plan information architecture, organizational charts, or stakeholder influence maps
  • Prepare architecture blueprints or dependency graphs for project planning and risk assessment

Best practices

  • Start by defining the map’s purpose, audience, and decision goals
  • List all critical nodes first, then add relationships and attributes incrementally
  • Choose the simplest visualization that communicates the required detail
  • Group related nodes to reduce visual clutter and use consistent notation
  • Validate the map with subject matter experts and test comprehension with a naïve reader
  • Limit depth and scope; for very large systems, split into multiple focused maps

Example use cases

  • Create a microservices diagram showing service calls, data flows, and layers
  • Build a concept map for a research domain, highlighting themes and citations
  • Produce a dependency graph for a release plan to identify parallelizable work
  • Design an information architecture taxonomy for a content-heavy website
  • Map a customer journey with swim lanes for roles and decision points

FAQ

How do I choose the right visualization type?

Match complexity to format: trees for hierarchies, network graphs for many-to-many relationships, layered diagrams for system architecture, and flowcharts for processes.

What level of detail is appropriate?

Include details that are decision-relevant and understandable by the target audience; typically stop at 3–4 layers deep and split very large systems into multiple maps.