How does it handle outdated information?

The skill utilizes query optimization by automatically appending recent year markers (like 2024 or 2025) and tech stack keywords to ensure results reflect the current state of technology.

What happens if a search query returns no results?

The skill follows strict persistence rules: if a search fails, it reformulates the query using synonyms, broadens or narrows the scope, and tries alternative tools before giving up.

What makes Searching Deeply different from a standard AI search?

Standard searches are usually single-shot. Searching Deeply uses an iterative parallel strategy, launching multiple queries simultaneously and refining the search based on what it learns in each round until the answer is complete.

Does this skill require paid tools?

The skill uses a mix of free WebSearch and specialized Exa tools. Exa queries typically cost approximately $0.01 per query but provide much higher quality technical and code-specific context than general search engines.

Can I use this for academic and scientific research?

Yes, it includes specific workflows for academic research using the google-scholar skill and Exa's web search to locate papers on ArXiv and university domains.

Searching Deeply

Name: Searching Deeply
Author: WarrenZhu050413

byWarrenZhu050413

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学習とドキュメンテーション

Employs an iterative, parallel search strategy to gather high-quality technical documentation and verified code examples.

概要

Searching Deeply is a specialized Claude Code skill designed for exhaustive information gathering through multi-round research. It leverages both general web search and specialized Exa tools to execute parallel queries, learn from initial results, and refine searches until a complete answer is found. This skill is particularly effective for developers needing production-grade code examples, recent documentation from 2024-2025, or academic context where standard one-off searches often fail to provide sufficient depth.

主な機能

Parallel execution of 3-5 simultaneous search queries across multiple engines
Cross-referencing and validation across multiple sources to ensure accuracy
Specialized Exa integration for high-quality code context and technical documentation
Iterative refinement logic that learns from initial results to fill knowledge gaps
5 GitHub stars
Domain-specific filtering for authoritative sources like GitHub and ArXiv

ユースケース

Deep-dive academic research with citation tracking and PDF content extraction
Researching emerging technologies or libraries with limited documentation
Finding specific, production-ready code implementations for complex features

概要

主な機能

Parallel execution of 3-5 simultaneous search queries across multiple engines
Cross-referencing and validation across multiple sources to ensure accuracy
Specialized Exa integration for high-quality code context and technical documentation
Iterative refinement logic that learns from initial results to fill knowledge gaps
5 GitHub stars
Domain-specific filtering for authoritative sources like GitHub and ArXiv

ユースケース

Deep-dive academic research with citation tracking and PDF content extraction
Researching emerging technologies or libraries with limited documentation
Finding specific, production-ready code implementations for complex features