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.
Why CC Workflow Studio? - Speaker Deck Link
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 |
| 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
| Interface | Try it | Best for | Docs |
|---|---|---|---|
| VSCode extension | `code --install-extension breaking |