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deep-research-pro
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Fundamental equity analysis and peer ranking using a structured scoring playbook (quality, balance-sheet safety, cash flow, valuation, sector adjustments, confidence modifiers). Use when a user asks to analyze one or more stock tickers, compare peers, choose a best pick, or produce a fundamentals-based verdict.
Extract text from PDFs with OCR support. Perfect for digitizing documents, processing invoices, or analyzing content. Zero dependencies required.
物理科学动图生成器。用于生成知乎等平台的物理/数学科普配图(3D动图、波形、场线等)。当用户说"画一个XX动图"、"生成物理示意图"、"知乎配图"时激活。
股票价格实时监控。支持多只股票监控,使用 Yahoo Finance API 获取实时股价,自定义涨跌阈值提醒。当股价波动超过设定阈值时自动发送提醒,支持首次预警和续警机制。用于:(1) 监控持仓股票价格波动 (2) 设置价格提醒 (3) 定期检查股价变化
获取今日头条(www.toutiao.com)新闻热榜/热搜榜数据,包含时政要闻、财经、社会事件、国际新闻、科技发展及娱乐八卦等多领域的热门中文资讯,并输出热点标题、热度值与跳转链接。
股市简报 - 零依赖增强版。行情+成交量趋势+资金流向+北向资金+多源新闻+量价分析,不需要任何API Key。当蟹大爷说"来份股市简报"、"股市简报"时使用。
基于 SOC 职业分类
| 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"}} |
A powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.
When the user asks for research on any topic, follow this workflow:
Ask 1-2 quick clarifying questions:
If the user says "just research it" — skip ahead with reasonable defaults.
Break the topic into 3-5 research sub-questions. For example:
For EACH sub-question, run the DDG search script:
# Web search
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg "<sub-question keywords>" --max 8
# News search (for current events)
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "<topic>" --max 5
Search strategy:
For the most promising URLs, fetch full content:
curl -sL "<url>" | 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.
Structure the report as:
# [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]
Save the full report:
mkdir -p ~/clawd/research/[slug]
# Write report to ~/clawd/research/[slug]/report.md
Then deliver:
"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?"
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"
)
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg