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深度调研入口，智能整合多源搜索和摘要能力。用户说"调研"、"研究"、"深度搜索"、"总结内容"时使用。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Word文档处理：创建、编辑、读取.docx文件。用户提到"Word"、"文档"、".docx"、"报告"、"信函"时使用。
使用腾讯云 API 密钥调用腾讯云各种服务，包括翻译、CVM、COS等。
图片识别与图文理解，基于 PaddleOCR-VL 模型，支持识别图片中的文字、场景、物体等信息。支持109种语言，可输出JSON或Markdown格式。
You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, decisions, and architectural rules in .brv/context-tree. Uses a configured LLM provider (default: ByteRover, no API key needed) for query and curate operations.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
| name | deep-research |
| description | 深度调研入口，智能整合多源搜索和摘要能力。用户说"调研"、"研究"、"深度搜索"、"总结内容"时使用。 |
| triggers | ["调研","研究","深度搜索","查一下","总结","摘要"] |
统一调研入口，整合搜索、提取、摘要、验证能力。
| 功能 | 工具 | 场景 |
|---|---|---|
| 多源搜索 | metaso, tavily, ali-web | 实时信息、学术文献 |
| 内容提取 | tavily_extract, fetch | 网页正文提取 |
| 交叉验证 | 多源对比 | 信息准确性验证 |
| 智能摘要 | 结构化输出 | 长文总结、报告生成 |
网页内容 → tavily_extract / fetch
学术搜索 → metaso(scholar) / arxiv
行业报告 → fxbaogao
技术文档 → context7
文件摘要 → pdf/docx/xlsx/pptx skill
| 模式 | 耗时 | 工具数 |
|---|---|---|
| quick | 1-2分钟 | 单源 |
| standard | 3-5分钟 | 2-3源 |
| deep | 5-10分钟 | 全源+分析 |
用户：调研CRISPR最新研究
→ deep_research(query="CRISPR", mode="deep", focus="academic")
→ 调用：metaso(scholar) + arxiv + 交叉验证
用户：总结这个网页
→ tavily_extract(url) → 结构化摘要
用户：分析新能源市场
→ fxbaogao + ali-web → 整合报告
搜索：metaso, tavily, ali-web, arxiv, fxbaogao 提取：tavily_extract, fetch, ali-web-ext 文档：pdf, docx, xlsx, pptx, image-recognition 知识：context7, deepwiki
深度调研 v2.0 | 搜索·提取·摘要·验证