source-command-cc-workflow-ai-editor

Create and modify CC Workflow Studio AI agent workflows via MCP tools.

10|Updated May 11, 2026
One-click install
npx skills add https://github.com/wise-claw/wise-tui --skill source-command-cc-workflow-ai-editor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: source-command-cc-workflow-ai-editor
Source: https://github.com/wise-claw/wise-tui/tree/main/.agents/skills/source-command-cc-workflow-ai-editor
Command: npx skills add https://github.com/wise-claw/wise-tui --skill source-command-cc-workflow-ai-editor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users create and modify complex AI agent workflows without manually editing workflow definitions, making CC Workflow Studio interactions faster and more accessible.

Core Features & Use Cases

  • Workflow Creation and Editing: Build new visual AI agent workflows and update existing workflow canvases through MCP-powered operations.
  • Schema-Aware Modifications: Retrieves workflow schemas and current workflow state before applying structural or targeted changes.
  • Use Case: A developer can ask the AI to add agents, reorganize workflow nodes, or refine an existing CC Workflow Studio automation flow through natural language instructions.

Quick Start

Ask the AI to create or update a CC Workflow Studio workflow based on your desired automation process.

Frequently Asked Questions about source-command-cc-workflow-ai-editor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an AI agent workflow without manually editing workflow definitions?

You can create an AI agent workflow through conversational workflow editing, using natural language instructions to generate and modify visual automation flows without manual coding.

Can I update existing workflow canvases in CC Workflow Studio through conversation?

Yes, you can update existing workflow canvases in CC Workflow Studio by asking the AI to add agents, reorganize workflow nodes, or refine automation flows using natural language.

Do I need MCP tools to modify AI agent workflows?

Yes, modifying AI agent workflows requires MCP workflow tools to retrieve schemas, inspect current workflow states, and apply validated structural or targeted changes to the canvas.

How does schema-aware workflow editing work for AI agents?

Schema-aware workflow editing retrieves workflow schemas and current workflow state before applying structural or targeted node changes, ensuring validated modifications to AI agent orchestration.

What is the best way to plan automation flows for AI agents visually?

The best way to plan automation flows visually is through conversational workflow editing, which allows you to design, orchestrate, and update AI agents via natural language instructions.

Are there limitations when reorganizing workflow nodes through conversational editing?

Workflow node reorganization is constrained by retrieved schemas and current workflow states, requiring MCP tools to validate and apply structural changes to the automation flow.