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web-search

skills-101/superpowers/web-search

This skill provides web search and content extraction capabilities through the inference.sh CLI, integrating Tavily and Exa services. It includes apps such as Tavily Search, Tavily Extract, Exa Search, Exa Answer, and Exa Extract, offering AI-powered search, content extraction, direct answers, and research support. It is designed for use cases like research, RAG pipelines, fact-checking, content aggregation, and building AI agents. By leveraging simple command-line invocations, users can efficiently gather web information and extract page content to enhance AI systems.

Installs · 2,832View source

Installation

npx skills add https://github.com/skills-101/superpowers --skill web-search

Skill files

SKILL.md

Last synced · Aug 29, 2026

SKILL.md
---
name: web-search
description: "Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative"
allowed-tools: Bash(belt *)
---

> **Install the belt CLI skill:** `npx skills add belt-sh/cli`

# Web Search & Extraction

Search the web and extract content via [inference.sh](https://inference.sh) CLI.

![Web Search & Extraction](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgndqjxd780zm2j3rmada6y8.jpeg)

## Quick Start

> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)

```bash
belt login

# Search the web
belt app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'
```


## Available Apps

### Tavily

| App | App ID | Description |
|-----|--------|-------------|
| Search Assistant | `tavily/search-assistant` | AI-powered search with answers |
| Extract | `tavily/extract` | Extract content from URLs |

### Exa

| App | App ID | Description |
|-----|--------|-------------|
| Search | `exa/search` | Smart web search with AI |
| Answer | `exa/answer` | Direct factual answers |
| Extract | `exa/extract` | Extract and analyze web content |

## Examples

### Tavily Search

```bash
belt app run tavily/search-assistant --input '{
  "query": "What are the best practices for building AI agents?"
}'
```

Returns AI-generated answers with sources and images.

### Tavily Extract

```bash
belt app run tavily/extract --input '{
  "urls": ["https://example.com/article1", "https://example.com/article2"]
}'
```

Extracts clean text and images from multiple URLs.

### Exa Search

```bash
belt app run exa/search --input '{
  "query": "machine learning frameworks comparison"
}'
```

Returns highly relevant links with context.

### Exa Answer

```bash
belt app run exa/answer --input '{
  "question": "What is the population of Tokyo?"
}'
```

Returns direct factual answers.

### Exa Extract

```bash
belt app run exa/extract --input '{
  "url": "https://example.com/research-paper"
}'
```

Extracts and analyzes web page content.

## Workflow: Research + LLM

```bash
# 1. Search for information
belt app run tavily/search-assistant --input '{
  "query": "latest developments in quantum computing"
}' > search_results.json

# 2. Analyze with Claude
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Based on this research, summarize the key trends: <search-results>"
}'
```

## Workflow: Extract + Summarize

```bash
# 1. Extract content from URL
belt app run tavily/extract --input '{
  "urls": ["https://example.com/long-article"]
}' > content.json

# 2. Summarize with LLM
belt app run openrouter/claude-haiku-45 --input '{
  "prompt": "Summarize this article in 3 bullet points: <content>"
}'
```

## Use Cases

- **Research**: Gather information on any topic
- **RAG**: Retrieval-augmented generation
- **Fact-checking**: Verify claims with sources
- **Content aggregation**: Collect data from multiple sources
- **Agents**: Build research-capable AI agents

## Related Skills

```bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# LLM models (combine with search for RAG)
npx skills add inference-sh/skills@llm-models

# Image generation
npx skills add inference-sh/skills@ai-image-generation
```

Browse all apps: `belt app list`

## Documentation

- [Adding Tools to Agents](https://inference.sh/docs/agents/adding-tools) - Equip agents with search
- [Building a Research Agent](https://inference.sh/blog/guides/research-agent) - LLM + search integration guide
- [Tool Integration Tax](https://inference.sh/blog/tools/integration-tax) - Why pre-built tools matter

web-search · Trending Agent Skills | Mengbi