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flowchart-generator流程图生成器

Agent Skill

flowchart-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

1,623

周安装

69

GitHub Stars

53

下载量

569
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:flowchart-generator(流程图生成器)
来源仓库:https://github.com/dkyazzentwatwa/chatgpt-skills
仓库路径:skills/flowchart-generator
安装命令:
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill flowchart-generator
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/dkyazzentwatwa/chatgpt-skills --skill flowchart-generator

简介

flowchart-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发流程中整理协作事项。

  • 适用于围绕仓库状态、代码变更或协作事项进行信息整合的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 和仓库路径进一步核验具体用法和功能边界。

SKILL.md

Flowchart Generator

Create professional flowcharts from structured process definitions. Supports standard flowchart symbols (start/end, process, decision, I/O), swimlanes for multi-actor processes, and multiple export formats.

Quick Start

from scripts.flowchart_gen import FlowchartGenerator

# Using Python DSL
flow = FlowchartGenerator()
flow.start("Start")
flow.process("Step 1", id="s1")
flow.decision("Check?", id="d1")
flow.process("Yes Path", id="yes")
flow.process("No Path", id="no")
flow.end("End")

flow.connect("Start", "s1")
flow.connect("s1", "d1")
flow.connect("d1", "yes", label="Yes")
flow.connect("d1", "no", label="No")
flow.connect("yes", "End")
flow.connect("no", "End")

flow.generate().save("flowchart.png")

# From YAML file
flow = FlowchartGenerator()
flow.from_yaml("process.yaml")
flow.generate().save("process.png")

Features

  • Multiple Input Sources: Python DSL, YAML, or JSON
  • Standard Shapes: Start/End, Process, Decision, Input/Output, Connector
  • Swimlanes: Multi-actor/department process diagrams
  • Styling Presets: Business, technical, minimal themes
  • Layout Options: Top-bottom, left-right, and more
  • Export Formats: PNG, SVG, PDF, DOT

API Reference

Initialization

flow = FlowchartGenerator()

Node Creation (DSL)

# Start node (oval/ellipse)
flow.start("Start")
flow.start("Begin Process", id="start1")

# End node (oval/ellipse)
flow.end("End")
flow.end("Process Complete", id="end1")

# Process node (rectangle)
flow.process("Process Data")
flow.process("Calculate Total", id="calc")

# Decision node (diamond)
flow.decision("Valid?", id="check")
flow.decision("Amount > 100?", id="d1")

# Input/Output node (parallelogram)
flow.input_output("User Input", id="input1")
flow.input_output("Display Result", id="output1")

# Connector (circle) - for complex flows
flow.connector("A", id="conn_a")

Connections

# Basic connection
flow.connect("start", "process1")

# With label
flow.connect("decision1", "yes_path", label="Yes")
flow.connect("decision1", "no_path", label="No")

# Multiple connections from decision
flow.decision("Approved?", id="d1")
flow.connect("d1", "approve_path", label="Yes")
flow.connect("d1", "reject_path", label="No")

Loading from Files

# From YAML
flow.from_yaml("process.yaml")

# From JSON
flow.from_json("process.json")

Swimlanes

# Define swimlanes
flow.swimlanes([
    "Customer",
    "Sales Team",
    "Fulfillment"
])

# Add nodes to specific lanes
flow.process("Place Order", id="order", lane="Customer")
flow.process("Review Order", id="review", lane="Sales Team")
flow.process("Ship Order", id="ship", lane="Fulfillment")

Styling

# Style presets
flow.style("business")   # Professional blue theme
flow.style("technical")  # Gray technical theme
flow.style("minimal")    # Clean minimal theme
flow.style("colorful")   # Vibrant colors

# Layout direction
flow.layout("TB")  # Top to Bottom (default)
flow.layout("LR")  # Left to Right
flow.layout("BT")  # Bottom to Top
flow.layout("RL")  # Right to Left

# Custom colors
flow.node_colors({
    'start': '#2ecc71',
    'end': '#e74c3c',
    'process': '#3498db',
    'decision': '#f39c12',
    'io': '#9b59b6'
})

Generation and Export

# Generate
flow.generate()

# Save
flow.save("chart.png")
flow.save("chart.svg")
flow.save("chart.pdf")
flow.save("chart.dot")  # GraphViz source

# Get DOT source
dot_source = flow.to_dot()

# Show in viewer
flow.show()

Data Formats

YAML Format

# process.yaml
title: Order Processing
layout: TB
style: business

nodes:
  - id: start
    type: start
    label: Start

  - id: receive
    type: process
    label: Receive Order

  - id: check_stock
    type: decision
    label: In Stock?

  - id: fulfill
    type: process
    label: Fulfill Order

  - id: backorder
    type: process
    label: Create Backorder

  - id: notify
    type: io
    label: Notify Customer

  - id: end
    type: end
    label: End

connections:
  - from: start
    to: receive

  - from: receive
    to: check_stock

  - from: check_stock
    to: fulfill
    label: "Yes"

  - from: check_stock
    to: backorder
    label: "No"

  - from: fulfill
    to: notify

  - from: backorder
    to: notify

  - from: notify
    to: end

JSON Format

{
  "title": "Order Processing",
  "layout": "TB",
  "style": "business",
  "nodes": [
    {"id": "start", "type": "start", "label": "Start"},
    {"id": "process1", "type": "process", "label": "Process Data"},
    {"id": "decision1", "type": "decision", "label": "Valid?"},
    {"id": "end", "type": "end", "label": "End"}
  ],
  "connections": [
    {"from": "start", "to": "process1"},
    {"from": "process1", "to": "decision1"},
    {"from": "decision1", "to": "end", "label": "Yes"}
  ]
}

Swimlane YAML Format

title: Customer Service Process
layout: LR
swimlanes:
  - Customer
  - Support Agent
  - Technical Team

nodes:
  - id: submit
    type: start
    label: Submit Ticket
    lane: Customer

  - id: review
    type: process
    label: Review Ticket
    lane: Support Agent

  - id: technical
    type: decision
    label: Technical Issue?
    lane: Support Agent

  - id: escalate
    type: process
    label: Escalate
    lane: Technical Team

  - id: resolve
    type: process
    label: Resolve
    lane: Support Agent

  - id: close
    type: end
    label: Close Ticket
    lane: Customer

connections:
  - from: submit
    to: review
  - from: review
    to: technical
  - from: technical
    to: escalate
    label: "Yes"
  - from: technical
    to: resolve
    label: "No"
  - from: escalate
    to: resolve
  - from: resolve
    to: close

CLI Usage

# From YAML
python flowchart_gen.py --input process.yaml --output flowchart.png

# From JSON with custom layout
python flowchart_gen.py --input process.json --layout LR --output flow.png

# With style preset
python flowchart_gen.py --input workflow.yaml --style business --output workflow.svg

# High resolution
python flowchart_gen.py --input process.yaml --output chart.png --dpi 300

CLI Arguments

ArgumentDescriptionDefault
--inputInput YAML or JSON fileRequired
--outputOutput file pathflowchart.png
--layoutLayout direction (TB, LR, BT, RL)TB
--styleStyle presetbusiness
--dpiImage resolution96

Examples

Simple Linear Flow

flow = FlowchartGenerator()
flow.start("Start")
flow.process("Step 1", id="s1")
flow.process("Step 2", id="s2")
flow.process("Step 3", id="s3")
flow.end("End")

flow.connect("Start", "s1")
flow.connect("s1", "s2")
flow.connect("s2", "s3")
flow.connect("s3", "End")

flow.generate().save("linear.png")

Decision Flow

flow = FlowchartGenerator()

flow.start("Start")
flow.input_output("Get Input", id="input")
flow.decision("Valid?", id="check")
flow.process("Process", id="proc")
flow.input_output("Show Error", id="error")
flow.end("End")

flow.connect("Start", "input")
flow.connect("input", "check")
flow.connect("check", "proc", label="Yes")
flow.connect("check", "error", label="No")
flow.connect("proc", "End")
flow.connect("error", "input")  # Loop back

flow.style("business")
flow.generate().save("decision_flow.png")

Login Process

flow = FlowchartGenerator()

flow.start("Start")
flow.input_output("Enter Credentials", id="creds")
flow.process("Validate", id="validate")
flow.decision("Valid?", id="check")
flow.decision("Attempts < 3?", id="attempts")
flow.process("Login Success", id="success")
flow.input_output("Show Error", id="error")
flow.process("Lock Account", id="lock")
flow.end("End")

flow.connect("Start", "creds")
flow.connect("creds", "validate")
flow.connect("validate", "check")
flow.connect("check", "success", label="Yes")
flow.connect("check", "attempts", label="No")
flow.connect("attempts", "creds", label="Yes")
flow.connect("attempts", "lock", label="No")
flow.connect("success", "End")
flow.connect("lock", "End")

flow.layout("TB")
flow.style("technical")
flow.generate().save("login_flow.png")

Order Processing with Swimlanes

flow = FlowchartGenerator()

flow.swimlanes(["Customer", "System", "Warehouse"])

flow.start("Order Placed", id="start", lane="Customer")
flow.process("Validate Order", id="validate", lane="System")
flow.decision("In Stock?", id="stock", lane="System")
flow.process("Reserve Items", id="reserve", lane="Warehouse")
flow.process("Backorder", id="backorder", lane="Warehouse")
flow.process("Process Payment", id="payment", lane="System")
flow.process("Ship Order", id="ship", lane="Warehouse")
flow.end("Complete", id="end", lane="Customer")

flow.connect("start", "validate")
flow.connect("validate", "stock")
flow.connect("stock", "reserve", label="Yes")
flow.connect("stock", "backorder", label="No")
flow.connect("reserve", "payment")
flow.connect("backorder", "payment")
flow.connect("payment", "ship")
flow.connect("ship", "end")

flow.layout("TB")
flow.generate().save("order_swimlane.png")

Node Shapes

TypeShapeUsage
startOval/EllipseBeginning of flow
endOval/EllipseEnd of flow
processRectangleAction or step
decisionDiamondYes/No branch
ioParallelogramInput/Output
connectorCirclePage/flow connector

Style Presets

PresetDescription
businessProfessional blue tones
technicalGray/silver technical look
minimalBlack and white, clean
colorfulVibrant multi-color

Dependencies

graphviz>=0.20.0
PyYAML>=6.0

System Requirement: Graphviz must be installed on the system.

  • macOS: brew install graphviz
  • Ubuntu: apt-get install graphviz
  • Windows: Download from graphviz.org

Limitations

  • Complex nested decisions may require manual layout adjustments
  • Swimlane rendering depends on graphviz subgraph support
  • Very large flowcharts (50+ nodes) may be hard to read
  • Limited control over exact node positioning

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

OpenCode

26.02%
按下载量换算148

Claude Code

22.11%
按下载量换算126

Codex

19.43%
按下载量换算111

Gemini CLI

11.66%
按下载量换算66

Antigravity

8.18%
按下载量换算47

windsurf

3.49%
按下载量换算20

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。

来源信息

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