Token导航 LogoToken导航

Agent Skill · 研究检索

project-diagrams(项目图)

project-diagrams 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。

project-diagrams 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 59,696。

总安装 380周安装 16GitHub Stars 4下载 133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
unknown

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:project-diagrams(项目图)
来源仓库:https://github.com/flight505/claude-project-planner
仓库路径:skills/project-diagrams
安装命令:
npx skills add https://github.com/flight505/claude-project-planner --skill project-diagrams
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/flight505/claude-project-planner --skill project-diagrams

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。

用于查找、检索和筛选项目相关信息。适合在规划阶段快速获取流程图、架构图等可视化素材。可基于需求描述推荐合适的图表类型和工具链。

安装命令:npx skills add https://github.com/flight505/claude-project-planner --skill project-diagrams 建议核对所用图库的许可协议和商用限制。

来源仓库内路径:skills/project-diagrams

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/flight505/claude-project-planner --skill proje…;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

    它需要接触敏感数据,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

project-diagrams 怎么安装?

在终端执行 npx skills add https://github.com/flight505/claude-project-planner --skill project-diagram…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

project-diagrams 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。

project-diagrams 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

project-diagrams 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

project-diagrams 用的人多吗?

公开数据是累计安装 380 次,近一周安装 16 次,下载 133 次,GitHub 4 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。

project-diagrams 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 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
project-diagrams

项目图 · 本页

3804接触敏感数据未明确有提醒

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

Project Diagrams and Architecture Visualizations

Overview

Project diagrams transform complex software architectures and system designs into clear visual representations. This skill offers two diagram generation approaches:

ApproachBest ForOutput
Nano Banana Pro AIPublication-quality visuals, presentations, complex custom diagramsPNG images
MermaidVersion-controlled docs, GitHub markdown, editable diagramsSVG/PNG from code

Choosing Your Approach

Use Nano Banana Pro AI when:

  • You need visually polished, publication-ready diagrams
  • Creating custom visualizations that don't fit standard templates
  • Diagrams for presentations, proposals, or client deliverables
  • Complex architectural diagrams with custom styling

Use Mermaid when:

  • Diagrams need to be version-controlled in git (text diffs)
  • Embedding directly in GitHub/GitLab markdown
  • You need to edit and iterate quickly on diagram structure
  • Standardized diagram types (flowcharts, sequence, C4, ERD, Gantt)
  • Collaborative documentation where others may edit

Option 1: Nano Banana Pro AI (Recommended for Visuals)

This approach uses Nano Banana Pro AI for diagram generation with Gemini 3 Pro quality review.

How it works:

  • Describe your diagram in natural language
  • Nano Banana Pro generates publication-quality images automatically
  • Gemini 3 Pro reviews quality against document-type thresholds
  • Smart iteration: Only regenerates if quality is below threshold
  • Professional output in minutes
  • No coding, templates, or manual drawing required

Quality Thresholds by Document Type:

Document TypeThresholdDescription
specification8.5/10Technical specs, PRDs
architecture8.0/10Architecture documents
proposal8.0/10Business proposals
sprint7.5/10Sprint planning docs
presentation6.5/10Slides, talks
default7.5/10General purpose

When to Use This Skill

This skill should be used when:

  • Creating system architecture diagrams (C4 model, microservices, etc.)
  • Illustrating data flow and integration patterns
  • Drawing sequence diagrams for API interactions
  • Visualizing database schemas and data models
  • Creating deployment architecture diagrams (AWS, GCP, Azure)
  • Depicting component relationships and dependencies
  • Generating network topologies and infrastructure layouts
  • Illustrating CI/CD pipelines and deployment workflows

Quick Start: Generate Any Diagram

# System architecture (highest quality: 8.5/10)
python .claude/skills/project-diagrams/scripts/generate_schematic.py "Microservices architecture with API gateway, auth service, user service, and PostgreSQL" -o diagrams/architecture.png --doc-type specification

# C4 Context diagram
python .claude/skills/project-diagrams/scripts/generate_schematic.py "C4 Context diagram showing e-commerce system with payment gateway, inventory, customers" -o diagrams/c4_context.png --doc-type architecture

# Sequence diagram
python .claude/skills/project-diagrams/scripts/generate_schematic.py "Sequence diagram: user authentication flow with client, API, auth service, database" -o diagrams/auth_sequence.png

# Data flow diagram
python .claude/skills/project-diagrams/scripts/generate_schematic.py "Data flow: user input -> API -> validation -> business logic -> database -> response" -o diagrams/data_flow.png

# AWS deployment
python .claude/skills/project-diagrams/scripts/generate_schematic.py "AWS deployment: Route53 -> CloudFront -> ALB -> ECS Fargate -> RDS Aurora" -o diagrams/aws_deployment.png

Diagram Types for Project Planning

1. System Architecture Diagrams

python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "System architecture for SaaS application: \
   Frontend (React) -> API Gateway -> Microservices (Auth, Users, Payments). \
   Services connect to PostgreSQL and Redis. Event bus (Kafka) for async. \
   Use boxes with different colors for each service layer." \
  -o diagrams/system_architecture.png

2. C4 Model Diagrams

# Context Level
python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "C4 Context diagram: Central 'Inventory System' box. \
   External actors: Warehouse Staff, Suppliers, Customers. \
   External systems: ERP, Payment Gateway, Shipping. \
   Bidirectional arrows with relationship labels." \
  -o diagrams/c4_context.png

# Container Level
python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "C4 Container diagram: Web App (React) -> API Gateway (Kong) -> \
   Microservices: Inventory (Node.js), Orders (Python), Notifications (Go). \
   Databases: PostgreSQL, MongoDB. Message Queue: RabbitMQ." \
  -o diagrams/c4_container.png

3. Sequence Diagrams

python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "Sequence diagram for checkout: User, Frontend, API, Cart, Payment, Order, Database. \
   Flow: checkout click -> validate cart -> process payment -> create order -> store -> response. \
   Include error path for payment failure." \
  -o diagrams/checkout_sequence.png

4. Data Model / ERD

python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "ERD for e-commerce: Users has_many Orders has_many OrderItems belongs_to Products. \
   Products belongs_to Categories. Show PKs, FKs, crow's foot notation." \
  -o diagrams/data_model.png

5. Cloud Infrastructure

python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "AWS architecture: VPC with public/private subnets in 2 AZs. \
   Public: ALB, NAT. Private: ECS Fargate, RDS Aurora. \
   Route53 -> CloudFront -> ALB. CloudWatch monitoring." \
  -o diagrams/aws_infrastructure.png

6. CI/CD Pipeline

python .claude/skills/project-diagrams/scripts/generate_schematic.py \
  "CI/CD pipeline: GitHub push -> Build -> Test -> Security Scan -> \
   Deploy Staging -> Integration Tests -> Approval -> Production. \
   Tools: GitHub Actions, Docker, Jest, Snyk, ArgoCD, K8s." \
  -o diagrams/cicd_pipeline.png

Configuration

export OPENROUTER_API_KEY='your_api_key_here'
# Get key at: https://openrouter.ai/keys

Prompt Tips

1. Architecture Style:

  • "Microservices architecture with bounded contexts"
  • "Monolithic with layered architecture"
  • "Event-driven with CQRS pattern"

2. Technology Stack:

  • "React frontend, Node.js API, PostgreSQL, Redis"
  • "AWS Lambda with API Gateway and SQS"
  • "Kubernetes with Istio service mesh"

3. Relationships:

  • "Synchronous REST calls between services"
  • "Async communication via Kafka events"
  • "Database replication primary to replicas"

Integration

Works with other project planning skills:

  • architecture-research - Diagrams from ADRs
  • building-blocks - Component visualizations
  • sprint-planning - Workflow diagrams

Quick Reference

Diagram TypeUse Case
System ArchitectureHigh-level system overview
C4 ContextSystem boundaries, external interactions
C4 ContainerInternal services, data stores
SequenceAPI flows, interactions
ERDDatabase schema design
DeploymentCloud infrastructure
CI/CD PipelineBuild/deployment workflow
ComponentInternal service structure

Option 2: Mermaid (Recommended for Version Control)

Mermaid generates diagrams from text-based code, perfect for documentation that lives in git repositories.

Quick Start: Inline Mermaid

Embed directly in markdown files:

flowchart LR A[Client] --> B[API Gateway] B --> C[Auth Service] B --> D[User Service] C --> E[(Database)] D --> E

Mermaid Diagram Types for Project Planning

1. System Architecture (Flowchart)
flowchart TB
    subgraph Frontend
        A[React App]
        B[Mobile App]
    end

    subgraph API Layer
        C[API Gateway]
        D[Load Balancer]
    end

    subgraph Services
        E[Auth Service]
        F[User Service]
        G[Order Service]
    end

    subgraph Data
        H[(PostgreSQL)]
        I[(Redis Cache)]
        J[(S3 Storage)]
    end

    A --> D
    B --> D
    D --> C
    C --> E & F & G
    E --> H
    F --> H & I
    G --> H & J
2. Sequence Diagrams
sequenceDiagram
    participant U as User
    participant F as Frontend
    participant A as API Gateway
    participant Auth as Auth Service
    participant DB as Database

    U->>F: Click Login
    F->>A: POST /auth/login
    A->>Auth: Validate credentials
    Auth->>DB: Query user
    DB-->>Auth: User data
    Auth-->>A: JWT token
    A-->>F: 200 OK + token
    F-->>U: Redirect to dashboard
3. C4 Model Diagrams
C4Context
    title System Context Diagram - Inventory Management

    Person(user, "Warehouse Staff", "Manages inventory")
    Person(admin, "Admin", "Configures system")

    System(inventory, "Inventory System", "Core application")

    System_Ext(erp, "ERP System", "Enterprise resource planning")
    System_Ext(shipping, "Shipping API", "Delivery tracking")

    Rel(user, inventory, "Uses")
    Rel(admin, inventory, "Configures")
    Rel(inventory, erp, "Syncs data")
    Rel(inventory, shipping, "Tracks shipments")
4. Entity Relationship Diagrams
erDiagram
    USER ||--o{ ORDER : places
    USER {
        uuid id PK
        string email UK
        string name
        timestamp created_at
    }
    ORDER ||--|{ ORDER_ITEM : contains
    ORDER {
        uuid id PK
        uuid user_id FK
        decimal total
        string status
        timestamp created_at
    }
    ORDER_ITEM }o--|| PRODUCT : references
    ORDER_ITEM {
        uuid id PK
        uuid order_id FK
        uuid product_id FK
        int quantity
        decimal price
    }
    PRODUCT {
        uuid id PK
        string name
        decimal price
        int stock
    }
5. Sprint Timeline (Gantt Chart)
gantt
    title Sprint 1 - Foundation
    dateFormat YYYY-MM-DD
    section Infrastructure
        CI/CD Setup           :done, infra1, 2025-01-06, 3d
        Database Setup        :active, infra2, after infra1, 2d
    section Authentication
        User Registration     :auth1, after infra2, 3d
        Login/Logout         :auth2, after auth1, 2d
        JWT Implementation   :auth3, after auth2, 2d
    section Testing
        Unit Tests           :test1, after auth3, 2d
        Integration Tests    :test2, after test1, 2d
6. State Diagrams (Workflows)
stateDiagram-v2
    [*] --> Draft
    Draft --> Pending: Submit
    Pending --> Approved: Approve
    Pending --> Rejected: Reject
    Rejected --> Draft: Revise
    Approved --> Published: Publish
    Published --> Archived: Archive
    Archived --> [*]
7. Component Diagrams (Mindmap)
mindmap
    root((Inventory System))
        Core Services
            Auth Service
            Inventory Service
            Order Service
            Notification Service
        Data Layer
            PostgreSQL
            Redis
            S3
        Infrastructure
            AWS ECS
            CloudFront
            Route53
        Integrations
            ERP Sync
            Shipping APIs
            Payment Gateway

Generating Mermaid to PNG

For documents requiring image files, use the automatic renderer with fallbacks:

# Automatic rendering with fallback (mmdc → Kroki.io → Nano Banana)
python .claude/skills/project-diagrams/scripts/render_mermaid.py diagram.md -o output.png

# Batch render all Mermaid files in a directory
python .claude/skills/project-diagrams/scripts/render_mermaid.py diagrams/ --batch

# Force a specific method
python .claude/skills/project-diagrams/scripts/render_mermaid.py diagram.md --method kroki
python .claude/skills/project-diagrams/scripts/render_mermaid.py diagram.md --method nano-banana

# Check if mmdc is available
python .claude/skills/project-diagrams/scripts/render_mermaid.py --check-mmdc

Multi-Tier Fallback System:

PriorityMethodRequirementsQuality
1Local mmdcnpm install -g @mermaid-js/mermaid-cliBest (offline)
2Kroki.io APIInternet connectionGood (free API)
3Nano Banana AIOPENROUTER_API_KEYGood (AI-generated)
4Keep markdownNoneRendered by viewer

The renderer automatically tries each method in order until one succeeds.

Manual mmdc Usage

If you prefer direct control:

# Install mermaid-cli
npm install -g @mermaid-js/mermaid-cli

# Generate PNG from .mmd file
mmdc -i diagram.mmd -o diagrams/output.png -t neutral -b transparent

# Generate SVG (sharper, scalable)
mmdc -i diagram.mmd -o diagrams/output.svg -t neutral

# With custom width
mmdc -i diagram.mmd -o diagrams/output.png -w 1200

Mermaid Themes

# Available themes: default, neutral, dark, forest
mmdc -i diagram.mmd -o output.png -t forest
ThemeBest For
defaultGeneral purpose, blue tones
neutralProfessional documents, grayscale-friendly
darkDark mode UIs, presentations
forestEnvironmental/green themed projects

Mermaid in Project Planning Documents

Recommended usage in markdown documentation:

## System Architecture

The system follows a microservices architecture:

flowchart LR Client --> Gateway --> Services --> Database


## API Sequence

sequenceDiagram Client->>API: Request API->>Service: Process Service-->>API: Response API-->>Client: Result

When to Use Which

ScenarioRecommendation
Final deliverable PDFsNano Banana Pro AI
GitHub/GitLab docsMermaid (inline)
Architecture Decision RecordsMermaid
Client presentationsNano Banana Pro AI
Sprint planning docsMermaid (Gantt charts)
Quick whiteboard-styleMermaid
Complex custom visualsNano Banana Pro AI
Collaborative editingMermaid

Mermaid Resources

  • Live Editor: https://mermaid.live
  • Documentation: https://mermaid.js.org/
  • GitHub Rendering: Native support in markdown files
  • VS Code Extension: "Mermaid Markdown Syntax Highlighting"

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

Codex

36.55%
按下载量换算49

Claude

31.51%
按下载量换算42

Cursor

19.33%
按下载量换算26

Gemini CLI

9.44%
按下载量换算13

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills