search-specialist

Plan and execute multi-source searches with result curation and documentation.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/mikebronner/development-settings --skill search-specialist
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: search-specialist
Source: https://github.com/mikebronner/development-settings/tree/main/.ai/skills/search-specialist
Command: npx skills add https://github.com/mikebronner/development-settings --skill search-specialist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Locating precise, credible information across diverse sources quickly, while maintaining thorough coverage and efficient results curation.

Core Features & Use Cases

  • Comprehensive search planning and execution across multiple sources
  • Query optimization, source selection, and result curation for research, competitive analysis, and technical investigations
  • Support for semantic search, progress tracking, and workflow documentation

Quick Start

Plan and execute a comprehensive, multi-source search to deliver a prioritized, high-quality results digest.

Frequently Asked Questions about search-specialist

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

FAQPage Schema
How do I execute a multi-source search for competitive intelligence gathering?

Multi-source search for competitive intelligence is executed by planning systematic queries across diverse sources, applying semantic search, and rigorously validating and documenting the curated results. This ensures precise and credible knowledge discovery for complex information needs.

What is semantic search and when do I need it for information retrieval?

Semantic search is an advanced information retrieval technique that understands the contextual meaning of queries rather than relying solely on keyword matching. You need it for complex research and technical investigations where precise knowledge discovery across diverse sources is required.

What is the best way to optimize queries for knowledge discovery across diverse sources?

The best way to optimize queries for knowledge discovery is through systematic search planning, multi-source querying, and rigorous result validation. This approach ensures thorough coverage and efficient curation of high-quality, prioritized results for technical and research domains.

Can I use this for complex technical investigations requiring result curation?

Yes, you can use this for complex technical investigations. It supports systematic search planning, source selection, and rigorous result curation, allowing you to validate and document findings across diverse technical domains efficiently.

How do I track progress and document workflows during a comprehensive search?

You track progress and document workflows during a comprehensive search by using built-in support for progress tracking and workflow documentation. This ensures that your multi-source querying and result validation processes are systematically recorded and easily reviewable.