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sf-diagram-mermaidSF diagram Mermaid 搜索

Agent Skill

sf-diagram-mermaid 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

27,192

周安装

1,067

GitHub Stars

401

下载量

8,536
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:sf-diagram-mermaid(SF diagram Mermaid 搜索)
来源仓库:https://github.com/jaganpro/sf-skills
仓库路径:skills/sf-diagram-mermaid
安装命令:
npx skills add https://github.com/jaganpro/sf-skills --skill sf-diagram-mermaid
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/jaganpro/sf-skills --skill sf-diagram-mermaid

简介

用于查找、检索和筛选相关信息。sf-diagram-mermaid 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或命令执行。
  • 安装方式:通过 npx 从指定 GitHub 仓库添加技能。

SKILL.md

sf-diagram-mermaid: Salesforce Diagram Generation

Use this skill when the user needs text-based diagrams: Mermaid diagrams for architecture, OAuth, integration flows, ERDs, or Agentforce structure, plus ASCII fallback when plain-text compatibility matters.

When This Skill Owns the Task

Use sf-diagram-mermaid when the user wants:

  • Mermaid output
  • ASCII fallback diagrams
  • architecture, sequence, flowchart, or ERD views in markdown-friendly form
  • diagrams that can live directly in docs, READMEs, or issues

Delegate elsewhere when the user wants:

  • rendered PNG/SVG images or polished mockups → sf-diagram-nanobananapro
  • non-Salesforce systems only → use a more general diagramming skill
  • object discovery before an ERD → sf-metadata

Supported Diagram Families

TypePreferred Mermaid formTypical use
OAuth / auth flowssequenceDiagramAuthorization Code, JWT, PKCE, Device Flow
ERD / data modelflowchart LRobject relationships and sharing context
integration sequencesequenceDiagramrequest/response or event choreography
system landscapeflowcharthigh-level architecture
role / access hierarchyflowchartusers, profiles, permissions
Agentforce behavior mapflowchartagent → topic → action relationships

Required Context to Gather First

Ask for or infer:

  • diagram type
  • scope and entities / systems involved
  • output preference: Mermaid only, ASCII only, or both
  • whether styling should be minimal, documentation-first, or presentation-friendly
  • for ERDs: whether org metadata is available for grounding

Recommended Workflow

1. Pick the right diagram structure

  • use sequenceDiagram for time-ordered interactions
  • use flowchart LR for ERDs and capability maps
  • keep a single primary story per diagram when possible

2. Gather data

For ERDs and grounded diagrams:

  • use sf-metadata when real schema discovery is needed
  • optionally use the local metadata helper script for counts / relationship context when appropriate

3. Generate Mermaid first

Apply:

  • accurate labels
  • simple readable node text
  • consistent relationship notation
  • restrained styling that renders cleanly in markdown viewers

4. Add ASCII fallback when useful

Provide an ASCII version when the user wants terminal compatibility or plaintext documentation.

5. Explain the diagram briefly

Call out the key relationships, flow direction, and any assumptions.


High-Signal Rules

For sequence diagrams

  • use autonumber when step order matters
  • distinguish requests vs responses clearly
  • use notes sparingly for protocol detail

For ERDs

  • prefer flowchart LR
  • keep object cards simple
  • use clear relationship arrows
  • avoid field overload unless the user explicitly asks for field-level detail
  • color-code object types only when it improves readability

For ASCII output

  • keep width reasonable
  • align arrows and boxes consistently
  • optimize for readability over decoration

Output Format

## <Diagram Title>

### Mermaid Diagram

<diagram>


### ASCII Fallback

<ascii>


### Notes
- <key point>
- <assumption or limitation>

Cross-Skill Integration

NeedDelegate toReason
real object / field definitionssf-metadatagrounded ERD generation
rendered diagram / image outputsf-diagram-nanobananaprovisual polish beyond Mermaid
connected-app auth setup contextsf-connected-appsaccurate OAuth flows
Agentforce logic visualizationsf-ai-agentscriptsource-of-truth behavior details
Flow behavior diagramssf-flowactual Flow logic grounding

Reference Map

Start here

Styling / ERD specifics

Preview


Score Guide

ScoreMeaning
72–80production-ready diagram
60–71clear and useful with minor polish left
48–59functional but could be clearer
35–47needs structural improvement
< 35inaccurate or incomplete

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

Claude Code

31.22%
按下载量换算2,665

Codex

24.58%
按下载量换算2,098

Cursor

18.33%
按下载量换算1,565

OpenCode

11.24%
按下载量换算959

Antigravity

7.18%
按下载量换算613

Gemini CLI

3.56%
按下载量换算304

安全审计

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通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/jaganpro/sf-skills --skill sf-diagram-mermaid;npx skills add jaganpro/sf-skills --skill "sf-diagram-mermaid" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

来源信息

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