Deep ReSearch Conversation is provided by Baidu for multi-round streaming conversations with "Deep Research" agents. "In-depth research" is a long-process task involving multi-step reasoning and execution, which is different from the ordinary "question-and-answer". A dialogue that requires the user to repeatedly verify and correct it until a satisfactory answer is reached.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install deepresearch-conversation或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install deepresearch-conversation⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/deepresearch-conversation/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: deepresearch-conversation description: Deep ReSearch Conversation is provided by Baidu for multi-round streaming conversations with "Deep Research" agents. "In-depth research" is a long-process task involving multi-step reasoning and execution, which is different from the ordinary "question-and-answer". A dialogue that requires the user to repeatedly verify and correct it until a satisfactory answer is reached. metadata: { "openclaw": { "emoji": "📌", "requires": { "bins": ["python3", "curl"], "env": ["BAIDU_API_KEY"] }, "primaryEnv": "BAIDU_API_KEY" } } ---
This skill allows OpenClaw agents to conduct in-depth research discussions with users on a given topic. The API Key is automatically loaded from the OpenClaw config — no manual setup is needed.
| name | path | description | |------------|---------------------------------|---------------------------------------| |DeepresearchConversation|/v2/agent/deepresearch/run|Multi-round streaming deep research conversation (via Python script)| |ConversationCreate|/v2/agent/deepresearch/create|Create a new conversation session, returns conversation_id| |FileUpload|/v2/agent/file/upload|Upload a file for the conversation| |FileParseSubmit|/v2/agent/file/parse/submit|Submit an uploaded file for parsing| |FileParseQuery|/v2/agent/file/parse/query|Query the status of a file parsing task|
conversation_id.conversation_id to upload files.file_id.query, conversation_id, and file_ids.conversation_id in all subsequent calls.interrupt_id (for "demand clarification" or "outline confirmation"), the next call must include that interrupt_id.structured_outline, present it to the user for confirmation/modification, then pass the final outline in the next call.no parameters
curl -X POST "https://qianfan.baidubce.com/v2/agent/deepresearch/create" \
-H "X-Appbuilder-From: openclaw" \
-H "Authorization: Bearer $BAIDU_API_KEY" \
-H "Content-Type: application/json" \
-d '{}'
agent_code: Fixed value "deepresearch" (required)conversation_id: From ConversationCreate response (required)file: Local file binary (mutually exclusive with file_url). Max 10 files. Supported formats:- Text: .doc, .docx, .txt, .pdf, .ppt, .pptx (txt ≤ 10MB, pdf ≤ 100MB/3000 pages, doc/docx ≤ 100MB/2500 pages, ppt/pptx ≤ 400 pages) - Table: .xlsx, .xls (≤ 100MB, single Sheet only) - Image: .png, .jpg, .jpeg, .bmp (≤ 10MB each) - Audio: .wav, .pcm (≤ 10MB)
file_url: Public URL of the file (mutually exclusive with file)curl -X POST "https://qianfan.baidubce.com/v2/agent/file/upload" \
-H "Authorization: Bearer $BAIDU_API_KEY" \
-H "Content-Type: multipart/form-data" \
-H "X-Appbuilder-From: openclaw" \
-F "agent_code=deepresearch" \
-F "conversation_id=$conversation_id" \
-F "file=@local_file_path"
curl -X POST "https://qianfan.baidubce.com/v2/agent/file/upload" \
-H "Authorization: Bearer $BAIDU_API_KEY" \
-H "Content-Type: multipart/form-data" \
-H "X-Appbuilder-From: openclaw" \
-F "agent_code=deepresearch" \
-F "conversation_id=$conversation_id" \
-F "file_url=$file_url"
file_id: From FileUpload response (required)curl -X POST "https://qianfan.baidubce.com/v2/agent/file/parse/submit" \
-H "Authorization: Bearer $BAIDU_API_KEY" \
-H "Content-Type: application/json" \
-H "X-Appbuilder-From: openclaw" \
-d '{"file_id": "$file_id"}'
task_id: From FileParseSubmit response (required)curl -X GET "https://qianfan.baidubce.com/v2/agent/file/parse/query?task_id=$task_id" \
-H "Authorization: Bearer $BAIDU_API_KEY" \
-H "X-Appbuilder-From: openclaw"
query: The user's question or research topic (required)conversation_id: Optional on first call (auto-generated). Required on subsequent calls.file_ids: List of parsed file IDs (optional, only when discussing files)interrupt_id: Required when responding to "demand clarification" or "outline confirmation" from previous round. Found in content.text.data of the previous SSE response.structured_outline: The research report outline. Required on subsequent calls if the previous round generated one. Structure:{
"title": "string",
"locale": "string",
"description": "string",
"sub_chapters": [
{
"title": "string",
"locale": "string",
"description": "string",
"sub_chapters": []
}
]
}
version: "Lite" (faster, within 10 min) or "Standard" (deeper, slower). Default: "Standard".python3 scripts/deepresearch_conversation.py '{"query": "your question here", "version": "Standard"}'
python3 scripts/deepresearch_conversation.py '{"query": "the question", "file_ids": ["file_id_1"], "interrupt_id": "interrupt_id", "conversation_id": "conversation_id", "structured_outline": {"title": "Report Title", "locale": "zh", "description": "desc", "sub_chapters": [{"title": "Chapter 1", "locale": "zh", "description": "chapter desc", "sub_chapters": []}]}, "version": "Standard"}'安装 deepresearch conversation 后,可以对 AI 说这些话来触发它
Help me get started with deepresearch conversation
Explains what deepresearch conversation does, walks through the setup, and runs a quick demo based on your current project
Use deepresearch conversation to deep ReSearch Conversation is provided by Baidu for multi-round str...
Invokes deepresearch conversation with the right parameters and returns the result directly in the conversation
What can I do with deepresearch conversation in my data & analytics workflow?
Lists the top use cases for deepresearch conversation, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/deepresearch-conversation/ 目录(个人级,所有项目可用),或 .claude/skills/deepresearch-conversation/(项目级)。重启 AI 客户端后,用 /deepresearch-conversation 主动调用,或让 AI 根据上下文自动发现并使用。
deepresearch conversation 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
deepresearch conversation 可免费安装使用。请查阅仓库了解许可证信息。
Deep ReSearch Conversation is provided by Baidu for multi-round streaming conversations with "Deep Research" agents. "In-depth research" is a long-process task involving multi-step reasoning and execution, which is different from the ordinary "question-and-answer". A dialogue that requires the user to repeatedly verify and correct it until a satisfactory answer is reached.
Automate my data & analytics tasks using deepresearch conversation
Identifies repetitive steps in your workflow and sets up deepresearch conversation to handle them automatically
deepresearch conversation 属于「Data & Analytics」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。