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tavily-research-pro

Professional AI-powered search and deep research engine. Features multi-dimensional data aggregation, semantic analysis, and automated report generation for structured information gathering.

airoom-ai0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install airoom-ai/tavily-research-pro

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Tavily Research Pro (科研洞察引擎)

Professional-grade tool designed for researchers and analysts to gather high-quality, structured information from the web.

🛡️ Privacy & Data Security (隐私与安全说明)

To comply with security audits and ensure data transparency, please note:

  • Data Transmission: This skill transmits user-provided search queries and specified target URLs to api.tavily.com for processing and information extraction.
  • Credential Protection: The TAVILY_API_KEY is accessed exclusively from your local environment variables and is never stored, logged, or shared with any third party other than the official Tavily API endpoint.
  • Compliance: This tool is intended for searching and analyzing publicly available web data for research purposes only.

核心功能 (Core Features)

1. 结构化搜索 (Structured Search)

Deep research mode for high-accuracy information retrieval.

node {baseDir}/scripts/search.mjs "Quantum computing commercialization" --deep

2. 公开信息语义分析 (Public Sentiment Analysis) 🆕

分析当前互联网对某个话题的“体感温度”。

node {baseDir}/scripts/sentiment.mjs "Apple Vision Pro"

3. 自动化研究简报 (Automated Research Report) 🆕

将长网页转化为结构化的情报简报,自动识别关键角色和影响。

node {baseDir}/scripts/report.mjs "[https://example.com/tech-news](https://example.com/tech-news)"

参数说明 (Options)

-n : Number of results (default 5).

--deep: Enable advanced deep research mode.

--topic <news|general>: Specify search category.

--days : Limit news search to the last n days.

Environment Requirement: A valid TAVILY_API_KEY must be configured in your environment.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/airoom-ai/tavily-research-pro
Version
—
Commit
7bbb007be00d1905664aed1b3a7c267c9cd6a716
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Tavily Research Pro (科研洞察引擎)

Professional-grade tool designed for researchers and analysts to gather high-quality, structured information from the web.

## 🛡️ Privacy & Data Security (隐私与安全说明)

To comply with security audits and ensure data transparency, please note:
* **Data Transmission**: This skill transmits user-provided search queries and specified target URLs to `api.tavily.com` for processing and information extraction.
* **Credential Protection**: The `TAVILY_API_KEY` is accessed exclusively from your local environment variables and is never stored, logged, or shared with any third party other than the official Tavily API endpoint.
* **Compliance**: This tool is intended for searching and analyzing publicly available web data for research purposes only.

---

## 核心功能 (Core Features)

### 1. 结构化搜索 (Structured Search)
Deep research mode for high-accuracy information retrieval.
```bash
node {baseDir}/scripts/search.mjs "Quantum computing commercialization" --deep
```

## 2. 公开信息语义分析 (Public Sentiment Analysis) 🆕
分析当前互联网对某个话题的“体感温度”。
```bash
node {baseDir}/scripts/sentiment.mjs "Apple Vision Pro"
```

## 3. 自动化研究简报 (Automated Research Report) 🆕
将长网页转化为结构化的情报简报,自动识别关键角色和影响。
```bash
node {baseDir}/scripts/report.mjs "[https://example.com/tech-news](https://example.com/tech-news)"
```

## 参数说明 (Options)
-n <count>: Number of results (default 5).

--deep: Enable advanced deep research mode.

--topic <news|general>: Specify search category.

--days <n>: Limit news search to the last n days.

Environment Requirement: A valid TAVILY_API_KEY must be configured in your environment.

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