Plan and execute multi-query research with parallel searches and source synthesis.
npx skills add https://github.com/cris-m/flopsy --skill research-cris-m
Please help me install this Agent Skill. Skill: research Source: https://github.com/cris-m/flopsy/tree/main/src/team/templates/skills/research Command: npx skills add https://github.com/cris-m/flopsy --skill research-cris-m
Automates thorough information gathering by coordinating multi-query research to uncover diverse perspectives, reducing reliance on single-source searches and assumptions.
Plan a multi-query research session by outlining at least three targeted queries and running them in parallel to collect diverse perspectives.
High-intent search queries and answers about installing and using this skill.
Multi-query research plans and executes parallel searches across diverse perspectives like news, technical docs, and expert opinions. It evaluates credibility and cross-references findings to produce well-supported, traceable conclusions.
Multi-query research is a structured investigation method that designs explicit queries covering multiple angles before searching. You need it when a comprehensive briefing on complex subjects like market trends or policy changes is required.
Start by outlining at least three targeted queries covering different angles. Run them in parallel to collect diverse perspectives, assess source credibility and bias, then synthesize the aggregated findings into a unified conclusion.
Yes, multi-query research applies to topics across news, technical subjects, companies, people, and concepts. It enables structured, multi-angle investigations with explicit query planning and cross-source synthesis for any subject.
Run several targeted queries simultaneously and evaluate credibility, bias, and citations across all retrieved sources. Cross-referencing aggregate findings from diverse sources ensures well-supported conclusions with traceable origins.
Single-source searches rely on assumptions and miss diverse perspectives. Multi-query research solves this by coordinating parallel searches across news, technical docs, and official sources to uncover comprehensive, multi-angle information.
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