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mapping-visualization-scaffolds映射可视化支架

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

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周安装

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mapping-visualization-scaffolds(映射可视化支架)
来源仓库:https://github.com/lyndonkl/claude
仓库路径:skills/mapping-visualization-scaffolds
安装命令:
npx skills add https://github.com/lyndonkl/claude --skill mapping-visualization-scaffolds
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

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

简介

用于辅助数据整理、表格处理、CSV/Excel 分析和图表准备。

  • 适合清洗字段、汇总数据、发现异常或生成统计口径说明。
  • 使用时需确认数据来源、字段含义和时间范围,避免误判样本为全量。
  • 涉及敏感数据或批量写回时,应先确认权限和脱敏边界。
  • 安装方式:通过 GitHub 仓库添加,支持 Codex、Claude 等宿主环境。

SKILL.md

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)

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需要参考平台分布和安装热度时

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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