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sf-diagram-mermaid

by @jaganprov1.0.0
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生成Salesforce图表,利用Mermaid语法可视化Salesforce架构和流程,提高沟通效率。

Salesforce DiagrammingMermaid JSSystem DesignVisual DocumentationGitHub
安装方式
npx skills add jaganpro/sf-skills --skill sf-diagram-mermaid
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Before / After 效果对比

1
使用前

手动绘制Salesforce系统图表耗时,难以保持更新。

使用后

自动生成Salesforce Mermaid图表,清晰展示系统架构。

description SKILL.md

sf-diagram-mermaid

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 Type Preferred Mermaid form Typical use OAuth / auth flows sequenceDiagram Authorization Code, JWT, PKCE, Device Flow ERD / data model flowchart LR object relationships and sharing context integration sequence sequenceDiagram request/response or event choreography system landscape flowchart high-level architecture role / access hierarchy flowchart users, profiles, permissions Agentforce behavior map flowchart agent → 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 ## ### Mermaid Diagram mermaid <diagram> ### ASCII Fallback text <ascii> ### Notes - - Cross-Skill Integration Need Delegate to Reason real object / field definitions sf-metadata grounded ERD generation rendered diagram / image output sf-diagram-nanobananapro visual polish beyond Mermaid connected-app auth setup context sf-connected-apps accurate OAuth flows Agentforce logic visualization sf-ai-agentscript source-of-truth behavior details Flow behavior diagrams sf-flow actual Flow logic grounding Reference Map Start here references/diagram-conventions.md references/mermaid-reference.md references/usage-examples.md Styling / ERD specifics references/mermaid-styling.md references/color-palette.md references/erd-conventions.md Preview references/preview-guide.md scripts/mermaid_preview.py scripts/query-org-metadata.py Score Guide Score Meaning 72–80 production-ready diagram 60–71 clear and useful with minor polish left 48–59 functional but could be clearer 35–47 needs structural improvement < 35 inaccurate or incomplete Weekly Installs193Repositoryjaganpro/sf-skillsGitHub Stars191First SeenJan 22, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled onopencode186codex186gemini-cli184cursor183github-copilot181amp179

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安装量0
评分0.0 / 5.0
版本1.0.0
更新日期2026年3月18日
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创建2026年3月18日
最后更新2026年3月18日