CC Workflow Studio

You think visually. AI thinks in .md. CC Workflow Studio speaks both.

Design workflows on a canvas. Export as Markdown your AI agent already understands. No more prompt-guessing.

Supported Agents

| Agent | Export Format | Requires | |-------|--------------|----------| | Claude Code | .claude/agents/ .claude/commands/ | Claude Code | | GitHub Copilot Chat | .github/prompts/ | Copilot Chat | | GitHub Copilot CLI | .github/skills/ | Copilot CLI | | OpenAI Codex CLI | .codex/skills/ | Codex CLI | | Roo Code | .roo/skills/ | Roo Code | | Gemini CLI | .gemini/skills/ | Gemini CLI | | Antigravity | .agent/skills/ | Antigravity | | Cursor | .cursor/agents/ .cursor/skills/ | Cursor |

Note: Agents other than Claude Code require activation from Toolbar's More menu.

Use it without VSCode, too

The VSCode extension is the most ergonomic editor, but it isn't the only entry point. The same workflow.json drives a CLI and an MCP server — pick whichever interface fits the situation.

flowchart LR
    Wf(["workflow.json"])

    subgraph IDE["🪟 VSCode Extension"]
        Canvas["React Flow canvas<br/>+ editor + Slack share"]
    end

    subgraph Mcp["🔌 MCP Server"]
        AIClient["Claude Code,<br/>MCP Inspector, ..."]
        McpServer["@cc-wf-studio/mcp<br/>(stdio: <code>ccwf-mcp</code>)"]
        AIClient --> McpServer
    end

    subgraph Cli["💻 CLI"]
        CliBin["@cc-wf-studio/cli<br/>(<code>ccwf render | validate | export | run | preview | canvas | mcp</code>)"]
    end

    Wf <-->|edit| Canvas
    Wf <-->|read / write| McpServer
    Wf <-->|read / write| CliBin

    Canvas -.->|writes skills + agents| Output["Agent skills on disk<br/>(.claude/, .codex/, .cursor/, ...)"]
    McpServer -.-> Output
    CliBin -.-> Output

| Interface | Try it | Best for | Docs | |---|---|---|---| | VSCode extension | code --install-extension breaking-brake.cc-wf-studio | Designing workflows visually | packages/vscode | | CLI (ccwf) | npx @cc-wf-studio/cli --help | Terminal / CI / SSH / Codespaces — render, validate, preview, export, run a workflow without VSCode | packages/cli | | MCP server (ccwf-mcp) | Add to your MCP client's .mcp.json so Claude Code (or any MCP client) can read and edit workflows over stdio | Letting an external AI client read and edit your workflows through MCP tools | packages/mcp |

There is no "VSCode-only" path: a workflow you draw in the canvas is the same file ccwf preview will render in a browser, and the same file an external Claude Code can edit through MCP.

Key Features

🔀 Visual Workflow Editor - Intuitive drag-and-drop canvas for designing AI agent orchestrations without code

🤖 Agentic Engineering - Design multi-agent workflows with Sub-Agent orchestration, Agent Skills, and MCP tool integration — the building blocks of agentic engineering

✨ Edit with AI - Iteratively improve workflows through conversational AI - ask for changes, add features, or refine logic with natural language feedback

⚡ One-Click Export & Run - Export workflows to ready-to-use formats and run directly from the editor

How to Use

Launch the Extension

• Click the icon in the top-right corner of the editor
• Or: Command Palette (Cmd+Shift+P) → "CC Workflow Studio: Open Editor"

Create a Workflow

• Add nodes from the palette and configure their settings, or use Edit with AI.

Save & Load

• Click Save button in the toolbar to store your workflow as .vscode/workflows/*.json
• Click Load button in the toolbar to open a saved .json workflow

Export & Run

• Click Export button in the toolbar to create a .md slash command or agent skill (use /workflow-name in AI coding agents)
• Click Run button in the toolbar to run your workflow directly in AI coding agents

Edit with AI

• Click Edit with AI button in the toolbar to generate or refine workflows with natural language
• Native with MCP Server: Click an AI agent button in the Edit with AI panel to launch native AI editing. The MCP server starts automatically behind the scenes.

sequenceDiagram
    actor User
    box VS Code (CC Workflow Studio)
        participant UI as Editor UI
        participant MCP as MCP Server
    end
    participant Agent as AI Agent

    User->>UI: Click agent button
    UI->>MCP: Auto start server
    UI->>Agent: Launch with editing skill

    loop AI edits workflow
        Agent->>MCP: get_workflow
        MCP-->>Agent: workflow JSON
        Agent->>MCP: apply_workflow
        MCP->>UI: Update canvas
    end

Usage Examples

Coming soon - Sample workflows and tutorials are under development.

License

This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0-or-later).

See the LICENSE file for the full license text.

What this means

• You can use, modify, and distribute this software
• If you modify and deploy this software (including as a network service), you must:
  • Make your modified source code available under AGPL-3.0
  • Provide access to the source code for users interacting with the service
• Commercial use is allowed, but proprietary modifications are not

Copyright (c) 2025 breaking-brake

Star History

Acknowledgments

Built with React Flow • Powered by Claude Code • Inspired by Dify

Made with CC Workflow Studio