cc-wf-studio

CC Workflow Studio

5,352
Stars
571
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TypeScript
Language
8/23/2026
Added
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/breaking-brake/cc-wf-studio

Getting Started

Guides for using skills like cc-wf-studio.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

CC Workflow Studio Icon

CC Workflow Studio

GitHub Stars VS Code Marketplace OpenVSX npm @cc-wf-studio/cli npm @cc-wf-studio/mcp Ask DeepWiki

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.

Learn more: Why CC Workflow Studio?
Why CC Workflow Studio? - Speaker Deck Link


Supported Agents

AgentExport FormatRequires
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
Zoo Code (formerly Roo Code).roo/skills/Zoo 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
InterfaceTry itBest forDocs
VSCode extensioncode --install-extension breaking-brake.cc-wf-studioDesigning workflows visuallypackages/vscode
CLI (ccwf)npx @cc-wf-studio/cli --helpTerminal / CI / SSH / Codespaces — render, validate, preview, export, run a workflow without VSCodepackages/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 stdioLetting an external AI client read and edit your workflows through MCP toolspackages/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.


AI-Assisted Workflow Creation Demo - MCP Server-based Editing

✨ Edit with AI: AI agents (Claude Code, GitHub Copilot, etc.) create workflows through natural language via MCP Server


Run Workflow Demo - Execute workflows directly from the editor

▶️ Run workflows directly from the editor – See your AI automation in action instantly


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

Export & Run

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

Edit with AI

  • Click Edit with AI sparkles 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

The VSCode extension (cc-wf-studio) 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.

The reusable libraries published to npm — @cc-wf-studio/core, @cc-wf-studio/mcp, and @cc-wf-studio/cli — are released under the more permissive MIT license. Each package ships its own LICENSE file, which takes precedence for that package.

Copyright (c) 2025 breaking-brake

Star History

Star History Chart

Acknowledgments

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


Made with CC Workflow Studio

Frequently Asked Questions

What is cc-wf-studio?

cc-wf-studio is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by breaking-brake. CC Workflow Studio. It has 5,352 GitHub stars.

Is cc-wf-studio safe to use?

cc-wf-studio returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install cc-wf-studio?

Clone the repository with "git clone https://github.com/breaking-brake/cc-wf-studio" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is cc-wf-studio written in?

cc-wf-studio is primarily written in TypeScript. It is open-source under breaking-brake on GitHub, so you can review or fork the full source.

Are there alternatives to cc-wf-studio?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh cc-wf-studio against similar tools.

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