BytesAgain › Skills › idea-generator。超级深度思考-创意生成系统。通过多轮迭代筛选高分创意,每轮步骤:需求分析-信息搜集-洞察分析-创意生成-反馈-下一轮。项目集中了可视化的网页端。安装后在前端输入“启动创意工作台”即可启动服务。
🦀 ClawHub
idea-generator。超级深度思考-创意生成系统。通过多轮迭代筛选高分创意,每轮步骤:需求分析-信息搜集-洞察分析-创意生成-反馈-下一轮。项目集中了可视化的网页端。安装后在前端输入“启动创意工作台”即可启动服务。
by @sunnyxiaoli
创意工作台启动器。当用户说「启动创意工作台」「打开工作台」「开启工作台」时激活。负责启动工作台服务并返回访问链接,创意生成由用户在工作台网页中操作。
Versionv1.0.2
Use this skill with your agent
Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.
Manusinvite
Task-oriented agent. Great for testing AI skills end-to-end.
Try Manus →
OpenClaw
Local-first agent. Install skills via ClawHub CLI.
Set up OpenClaw →
Claude Code
Anthropic's coding agent. Paste the prompt or SKILL.md into your session.
Claude Code docs →
Cursor
AI-powered IDE. Use the smoke-test prompt in Cursor Agent.
Open Cursor →
Continue.dev
Open-source AI code assistant. Add SKILL.md as a custom tool.
Continue docs →
Windsurf
Agentic IDE by Codeium. Paste the prompt into Cascade.
Try Windsurf →
Cline
VS Code extension for autonomous coding with MCP tools.
Cline on GitHub →
Copilot Workspace
GitHub's AI dev environment. Suitable for code-generation skills.
Copilot Workspace →
🔍 Can't find the right skill?
Search 60,000+ AI agent skills — free, no login needed.
What to do next
Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.
1
Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.2
Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.3
Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.I just installed the idea-generator。超级深度思考-创意生成系统。通过多轮迭代筛选高分创意,每轮步骤:需求分析-信息搜集-洞察分析-创意生成-反馈-下一轮。项目集中了可视化的网页端。安装后在前端输入“启动创意工作台”即可启动服务。 skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.