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.