BytesAgain › Skills › Auto Deep Research
🦀 ClawHub
Auto Deep Research
by @pancat009
深度研究技能。用于深入调查、验证信息、研究主题。当用户需要调研概念、对比工具、追踪事件、分析趋势时使用。通过拆分问题、多次搜索、多源验证，输出结构化报告。确保每个结论有多个独立来源，不确定点要标注。
Versionv0.0.1
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.
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OpenClaw
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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.
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Continue.dev
Open-source AI code assistant. Add SKILL.md as a custom tool.
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Windsurf
Agentic IDE by Codeium. Paste the prompt into Cascade.
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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 →
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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 Auto Deep Research 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.