FlowForge

A Claude Code skill that turns natural language into professional draw.io diagrams — flowcharts, architecture diagrams, comparisons, and more.

English | 中文

LLM Full-Stack Architecture — generated by FlowForge

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What is FlowForge?

FlowForge is a Claude Code skill that generates professional .drawio diagrams from natural language descriptions. Just describe what you want — a CI/CD pipeline, a system architecture, an algorithm comparison — and FlowForge produces a clean, well-laid-out draw.io XML file ready to open in draw.io desktop or app.diagrams.net.

Why draw.io XML?

• Editable — You can refine the generated diagram in any draw.io editor.
• Portable — Works in browsers, desktop apps, VS Code extensions, Confluence, etc.
• Deterministic generation — Absolute coordinates and explicit styles let Claude produce stable, predictable layouts.

Features

• 11 layout algorithms — flow, flow-vertical, compare, layers, loop, tree, hub, columns, matrix, funnel, timeline, sequence
• 5 color themes — tech-blue (default), morandi, mint, terracotta, indigo
• Smart color principles — Size-adaptive color budget; blue dominates with strategic accent placement to avoid the "rainbow" anti-pattern
• Orthogonal arrow routing — Clean right-angle bends, no diagonals
• Bilingual labels — Chinese / English with technical abbreviations preserved
• Sketch-first workflow — Confirms ASCII sketch with you before generating XML

Installation

Option 1: As a Claude Code Plugin (recommended)

# In Claude Code
/plugin install https://github.com/wentong2022-arch/flowforge-skill

Or add to your plugin marketplace and install from there.

Option 2: Manual Skill Installation

Clone this repo and copy the skill directory to your Claude Code skills folder:

git clone https://github.com/wentong2022-arch/flowforge-skill.git
cp -r flowforge-skill/skills/FlowForge ~/.claude/skills/
# Or for project-scoped:
cp -r flowforge-skill/skills/FlowForge ./.claude/skills/

Usage

In Claude Code, just describe what you want to draw:

Draw a flowchart for our user signup process
画一个 RAG 检索流程图
Compare PPO vs DPO vs GRPO algorithms
帮我画一个微服务架构图

Or use the /FlowForge slash command explicitly:

/FlowForge "OAuth 2.0 authorization code flow"
/FlowForge path/to/design-doc.md --type layers --theme morandi

Workflow

1. Describe what you want
2. Confirm theme (or let it default to tech-blue)
3. Review ASCII sketch — FlowForge shows the planned structure before generating XML
4. Open the .drawio file in draw.io and refine if needed

Color Themes

Theme	Style	Best for
tech-blue	Blue-gray + warm accents	Technical content, system docs (default)
morandi	Muted sage + smoky purple	Design portfolios, brand decks
mint	Mint green + warm yellow	Product flows, user journeys
terracotta	Earthy clay + sand	Business strategy, operations
indigo	Bold indigo + violet	Tech presentations, launches

Diagram Types

Type	Code	Best for
Linear flow	flow	Sequential steps A → B → C
Vertical flow	flow-vertical	Top-down processes
Comparison	compare	A vs B side-by-side
Layer stack	layers	Multi-tier architectures
Cycle	loop	Iterative processes (CI/CD, training loops)
Tree	tree	Hierarchies, taxonomies
Hub & spoke	hub	One core, many branches
Parallel columns	columns	3+ parallel concepts
Matrix	matrix	Multi-dimension comparisons
Funnel	funnel	Filtering, conversion
Timeline	timeline	Version evolution
Sequence	sequence	Component interactions

Gallery

9 example diagrams generated by FlowForge, covering all 5 themes and the most-used diagram types — see gallery/ for source .drawio files.

Layered Architecture (layers × tech-blue + multi-color)

Economic Data Platform Architecture

Algorithm Comparison (columns + loop × tech-blue)

PPO vs DPO vs GRPO

Decision Tree (tree × mint)

Database Selection Decision Tree

Hub & Spoke (hub × indigo)

Agent Capabilities Hub

Timeline (timeline × terracotta)

LLM Evolution Timeline

Full Index

#	Diagram	Type	Theme
01	Data collection pipeline	flow-vertical + branch	tech-blue
02	Smart data query pipeline	flow-vertical (long, with color rhythm)	tech-blue
03	Economic data platform architecture	layers (5 tiers)	multi-color per layer
04	PPO vs DPO vs GRPO algorithms	columns (horizontal × vertical compare, with loops)	tech-blue + accents
05	LLM full-stack architecture	layers (6 tiers + cross-cutting panel)	full palette
06	Traditional vs AI-augmented data team	compare	morandi
07	Database selection decision tree	tree	mint
08	AI Agent capability hub	hub (6 spokes)	indigo
09	LLM evolution timeline	timeline (alternating)	terracotta

Open any .drawio file in app.diagrams.net to view or edit.

Project Structure

flowforge-skill/
├── .claude-plugin/
│   └── plugin.json           # Plugin metadata
├── skills/
│   └── FlowForge/
│       ├── SKILL.md          # Main skill instructions (entry point)
│       ├── themes.md         # 5 color theme definitions
│       ├── xml-reference.md  # XML element templates
│       ├── examples.md       # Complete reference examples
│       └── examples/         # Reference .drawio files
├── gallery/                  # Showcase diagrams
├── assets/screenshots/       # README screenshots
├── README.md                 # English README
├── README.zh-CN.md           # 中文 README
├── LICENSE                   # MIT
└── CHANGELOG.md

Design Philosophy

• Layout is deterministic — Every diagram type has explicit coordinate formulas. No "AI guesses positions."
• Color is semantic — Each color maps to a meaning (primary / accent / warning / etc.). Never decorative.
• Restraint over decoration — Most nodes use the dominant color family. Accent colors are scalpels, not paintbrushes.
• Bilingual labels — Use the user's language naturally. Technical terms (API, LLM, RAG) stay in English.

Contributing

PRs welcome! Areas where contributions are especially valuable:

• New diagram type layouts (e.g., Gantt, mind map, ER diagram)
• Additional color themes
• Gallery examples for different domains
• Translations (README.{lang}.md)

Acknowledgments

Built following the design principles in Lessons from Building Claude Code: How We Use Skills by Thariq Shihipar at Anthropic.

License

MIT © 2026 winstonyoyo