跳到主内容
智客 ZICQ

技能库 智客分类:写作与研究 deep-research-pro OpenClaw

Deep Research Pro

多来源深度研究代理. 搜索网络,综合调查结果,并提供引用的报告。 不需要 API 密钥 .

1102 安装量 · 88 星标

官方网址:作者主页

技能介绍

先看中文介绍;官方 description 原文单独保留,不改写 SKILL.md。

做什么

多来源深度研究代理. 搜索网络,综合调查结果,并提供引用的报告。 不需要 API 密钥 .

何时用

官方 description 未单独写出 Use when。按规范,代理会在用户任务与这段 description 的关键词匹配时激活本技能。

代理如何加载

按 Agent Skills 渐进披露:启动时只加载 name 与 description(约 100 token);任务匹配后才读入整份 SKILL.md 正文;scripts/、references/、assets/ 仅在需要时再读。 本文件正文结构:Deep Research Pro 🔬、How It Works、Step 1: Understand the Goal (30 seconds)、Step 2: Plan the Research (think before searching)、Step 3: Execute Multi-Source Search、Web search。 其中含规范建议的小节:分步指令。

文件分析

文件分析:除 SKILL.md 外,正文引用了 scripts/ddg,属于带资源的技能包,这些文件按需再读。

官方 description(原文)

Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.

Deep Research Pro 🔬How It WorksStep 1: Understand the Goal (30 seconds)Step 2: Plan the Research (think before searching)Step 3: Execute Multi-Source SearchWeb searchNews search (for current events)Step 4: Deep-Read Key SourcesStrip tags, get textStep 5: Synthesize & Write Report[Topic]: Deep Research ReportExecutive Summary

SKILL.md 与 Agent 调用

官方规范 ↗
name
deep-research-pro
description
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
  1. 发现技能客户端向 Agent 提供名称与描述目录。
  2. 匹配与调用用户指定或任务匹配后,载入 SKILL.md 指令。
  3. 按需加载按步骤读取参考文档、使用脚本与素材。
指令中引用的文件 · 1
  • scripts/ddg

以下路径提取自原文;文件是否齐全请以来源仓库中的完整目录为准。

具体调用语法与可用工具以目标 Agent 客户端为准。 查看调用机制说明 ↗

安装这个技能

Skills CLI ↗

先选择目标 Agent 和安装范围,保留技能包的附属文件,安装后检查客户端能否发现该技能。

该技能引用了附属文件,请从来源获取完整目录;仅复制 SKILL.md 可能缺少依赖。

交给 Agent 安装

复制安装指令给支持 Agent Skills 的代理,确认其中的目标目录与客户端匹配。

把 Agent Skill「deep-research-pro」安装到我的项目:SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-3e62b537231b0bb7-Deep-Research-Pro.html
请存为 .cursor/skills/deep-research-pro/SKILL.md 或 .claude/skills/deep-research-pro/SKILL.md,frontmatter 的 name 与 description 保持原样,不要改写。
该技能还带 scripts/、references/、assets/ 等文件,请从 https://clawhub.ai/skills/deep-research-pro 取完整目录,不要只建一个 SKILL.md。

当前没有明确的 GitHub 技能包地址,请按来源页面的安装器说明操作。

ClawHub ↗

阅读排版
--- name: deep-research-pro version: 1.0.0 description: "Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required." homepage: https://github.com/paragshah/deep-research-pro metadata: {"clawdbot":{"emoji":"🔬","category":"research"}} --- # Deep Research Pro 🔬 A powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search. ## How It Works When the user asks for research on any topic, follow this workflow: ### Step 1: Understand the Goal (30 seconds) Ask 1-2 quick clarifying questions: - "What's your goal — learning, making a decision, or writing something?" - "Any specific angle or depth you want?" If the user says "just research it" — skip ahead with reasonable defaults. ### Step 2: Plan the Research (think before searching) Break the topic into 3-5 research sub-questions. For example: - Topic: "Impact of AI on healthcare" - What are the main AI applications in healthcare today? - What clinical outcomes have been measured? - What are the regulatory challenges? - What companies are leading this space? - What's the market size and growth trajectory? ### Step 3: Execute Multi-Source Search For EACH sub-question, run the DDG search script: ```bash # Web search /home/clawdbot/clawd/skills/ddg-search/scripts/ddg "" --max 8 # News search (for current events) /home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "" --max 5 ``` **Search strategy:** - Use 2-3 different keyword variations per sub-question - Mix web + news searches - Aim for 15-30 unique sources total - Prioritize: academic, official, reputable news > blogs > forums ### Step 4: Deep-Read Key Sources For the most promising URLs, fetch full content: ```bash curl -sL "" | python3 -c " import sys, re html = sys.stdin.read() # Strip tags, get text text = re.sub('<[^>]+>', ' ', html) text = re.sub(r'\s+', ' ', text).strip() print(text[:5000]) " ``` Read 3-5 key sources in full for depth. Don't just rely on search snippets. ### Step 5: Synthesize & Write Report Structure the report as: ```markdown # [Topic]: Deep Research Report *Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]* ## Executive Summary [3-5 sentence overview of key findings] ## 1. [First Major Theme] [Findings with inline citations] - Key point ([Source Name](url)) - Supporting data ([Source Name](url)) ## 2. [Second Major Theme] ... ## 3. [Third Major Theme] ... ## Key Takeaways - [Actionable insight 1] - [Actionable insight 2] - [Actionable insight 3] ## Sources 1. [Title](url) — [one-line summary] 2. ... ## Methodology Searched [N] queries across web and news. Analyzed [M] sources. Sub-questions investigated: [list] ``` ### Step 6: Save & Deliver Save the full report: ```bash mkdir -p ~/clawd/research/[slug] # Write report to ~/clawd/research/[slug]/report.md ``` Then deliver: - **Short topics**: Post the full report in chat - **Long reports**: Post the executive summary + key takeaways, offer full report as file ## Quality Rules 1. **Every claim needs a source.** No unsourced assertions. 2. **Cross-reference.** If only one source says it, flag it as unverified. 3. **Recency matters.** Prefer sources from the last 12 months. 4. **Acknowledge gaps.** If you couldn't find good info on a sub-question, say so. 5. **No hallucination.** If you don't know, say "insufficient data found." ## Examples ``` "Research the current state of nuclear fusion energy" "Deep dive into Rust vs Go for backend services in 2026" "Research the best strategies for bootstrapping a SaaS business" "What's happening with the US housing market right now?" ``` ## For Sub-Agent Usage When spawning as a sub-agent, include the full research request and context: ``` sessions_spawn( task: "Run deep research on [TOPIC]. Follow the deep-research-pro SKILL.md workflow. Read /home/clawdbot/clawd/skills/deep-research-pro/SKILL.md first. Goal: [user's goal] Specific angles: [any specifics] Save report to ~/clawd/research/[slug]/report.md When done, wake the main session with key findings.", label: "research-[slug]", model: "opus" ) ``` ## Requirements - DDG search script: `/home/clawdbot/clawd/skills/ddg-search/scripts/ddg` - curl (for fetching full pages) - No API keys needed!

相关技能

写作与研究

Humanizer

从文本中删除 AI 生成的写入标记 。 编辑或审查文本时使用,使其声音更自然和人文写作. 基于维基百科的全面"AI写作的标志"指南. 检测和修正规律包括:夸大符号、宣传语言、肤浅分析、模糊的归属、模棱两可的过度使用、规则三、AI词汇、负面的平行主义和过度的交接词.

写作与研究

Prismfy Search

OpenClaw 的默认网络搜索 。 搜索网络跨越了10个引擎——Google,Reddit,GitHub,arXiv,Hacker News等——使用Prismfy. 包括免费等级,不需要信用卡。 包括用于网络搜索、配额检查和引擎/时间/域过滤器的捆绑 " search.sh …

写作与研究

Blogwatcher

监控博客和RSS/Atom的种子.

写作与研究

Tavily

AI-优化了使用Tavily Search API的网络搜索. 需要全面网络研究,时事搜索,域名特定搜索,或AI生成的回答摘要时使用. Tavily是LLM消费的优化型,具有清洁的结构化结果,答案生成,以及原始内容提取. 最适合研究任务、新闻查询、实况调查和收集权威来源.