About this skill

Problem to solve

Agents doing research, RAG, and fact-checking cannot rely only on model memory. They need a stable workflow: search the web, extract page content, and aggregate sources before asking an LLM to summarize, verify, or answer. web34 connects Tavily and Exa search, answer, and extraction capabilities to the inference.sh CLI.

How the skill works

Core capabilities include:

Tavily Search: uses tavily/search-assistant to return AI-generated answers with sources and images.
Tavily Extract: uses tavily/extract to pull clean text and images from multiple URLs.
Exa Search: uses exa/search to return highly relevant links with context.
Exa Answer: uses exa/answer to return direct factual answers.
Exa Extract: uses exa/extract to extract and analyze web page content.

A typical workflow is: search for topic-relevant pages, extract URL content, then let the LLM summarize, compare, or build RAG context. The skill favors pre-built tool integration so agents do not need ad-hoc search API glue.

Fit and limits

Best for research, fact-checking, content aggregation, and research-capable agents. It is not a substitute for real-time market data, authenticated scraping, large-scale crawling, or legal compliance review. It assumes an inference.sh CLI (infsh) environment, and actual App availability depends on the backend services and configuration.

Screenshots

Use Cases

Search multiple web sources for a research brief, then extract article text for model summarization
Retrieve relevant documents by query, extract URL content, and build RAG context
Verify a news claim by searching sources and extracting quoted passages for cross-checking
Collect competitor release pages, extract key updates, and generate a weekly digest

Best For

Engineers building research agents: add citable web search and page extraction steps
RAG application developers: convert external web material into model-ready context
Content operations: aggregate multiple sources and extract key updates for summaries
Fact-checking editors: locate claims across sources and extract supporting passages