Token导航 LogoToken导航

Agent Skill · 研究检索

mapping-visualization-scaffolds(映射可视化支架)

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。

mapping-visualization-scaffolds 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 40,130。

总安装 1,322周安装 54GitHub Stars 85下载 423核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/mapping-visualization-scaffolds

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/lyndonkl/claude --skill mapping-visualization-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mapping-visualization-scaffolds 怎么安装?

在终端执行 npx skills add https://github.com/lyndonkl/claude --skill mapping-visualization-scaffolds。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mapping-visualization-scaffolds 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mapping-visualization-scaffolds 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

mapping-visualization-scaffolds 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

mapping-visualization-scaffolds 用的人多吗?

公开数据是累计安装 1,322 次,近一周安装 54 次,下载 423 次,GitHub 85 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mapping-visualization-scaffolds 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mapping-visualization-scaffolds

映射可视化支架 · 本页

1,32285需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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)

平台分布

Claude Code

27.73%
按下载量换算117

Gemini CLI

23.28%
按下载量换算98

Antigravity

17.91%
按下载量换算76

windsurf

12.09%
按下载量换算51

OpenCode

6.87%
按下载量换算29

github-copilot

2.96%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

继续浏览同类 Skills