Agent skill · Backend & API

web-search

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

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill web-search-balkonsen-ha-ai-gen-workflow --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: Bash(infsh*)
Path: skills/analysis/web-search-balkonsen-ha-ai-gen-workflow/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash infsh login # Search the web infsh 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 infsh 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 ```ba

What's inside
Steps it walks through
  1. Quick Start
  2. Available Apps
  3. Tavily
  4. Exa
  5. Examples
  6. Tavily Search
  7. Tavily Extract
  8. Exa Search
  9. Exa Answer
  10. Exa Extract
  11. Workflow: Research + LLM
  12. Workflow: Extract + Summarize
  13. Use Cases
  14. Related Skills
Ships with 1 file
  • metadata.json
Commands it runs
infsh login
Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'
infsh app run tavily/search-assistant --input '{
infsh app run tavily/extract --input '{
infsh app run exa/search --input '{
infsh app run exa/answer --input '{
infsh app run exa/extract --input '{
infsh app run openrouter/claude-sonnet-45 --input '{
infsh app run openrouter/claude-haiku-45 --input '{
More from claude-skill-registry
All skills →
About this skill
What does the web-search skill do?

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

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill web-search-balkonsen-ha-ai-gen-workflow --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going