search-specialist

Retrieve cited, high-signal results from multi-domain searches.

1|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill search-specialist-mtsatryan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search-specialist
Source: https://github.com/mtsatryan/openclaw-ai-agents/tree/main/search-specialist
Command: npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill search-specialist-mtsatryan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables fast, accurate discovery of needle-in-haystack information across diverse sources using advanced search strategies and rigorous result validation.

Core Features & Use Cases

  • Advanced search planning and objective analysis to define success criteria.
  • Query optimization, semantic search, and citation tracking to improve precision and recall.
  • Source evaluation and result curation for credible, actionable insights across research, due diligence, and competitive intelligence.

Quick Start

Ask me to perform a targeted multi-source search on a given topic and deliver a concise, cited results report.

Frequently Asked Questions about search-specialist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find precise needle-in-haystack information across multiple diverse sources?

To find needle-in-haystack information across diverse sources, use advanced search strategies like semantic search, query optimization, and source evaluation to retrieve high-signal, cited results. This approach ensures accurate discovery and rigorous result validation for complex research.

What is semantic search and how does query optimization improve information retrieval?

Semantic search improves information retrieval by understanding contextual meaning rather than just exact keywords. Combined with query optimization, it enhances precision and recall, ensuring you extract high-signal data and actionable insights with tracked citations.

Can I use this for technical due diligence and competitive intelligence research?

Yes, this approach supports technical due diligence and competitive intelligence by applying multi-domain queries and source evaluation. It effectively curates credible, cited insights required for rigorous product discovery and research tasks.

What's the best way to evaluate source credibility during multi-domain research?

The best way to evaluate source credibility during multi-domain research is through rigorous result validation and curation. By applying objective analysis and success criteria, you filter out low-quality data and deliver credible, actionable insights with citations.

How do I perform targeted multi-source search and generate a cited results report?

Perform a targeted multi-source search by defining success criteria and applying query optimization to retrieve precise data. The process yields a concise, cited results report containing validated, high-signal information curated from diverse sources.