Perform exhaustive multi-domain research with cited, structured findings.
npx skills add https://github.com/krishagel/geoffrey --skill research-krishagel
Please help me install this Agent Skill. Skill: research Source: https://github.com/krishagel/geoffrey/tree/main/skills/research Command: npx skills add https://github.com/krishagel/geoffrey --skill research-krishagel
Discovery-driven, exhaustive research using parallel LLM agents for comprehensive, current information gathering.
Ask a question such as "Tell me about the current state of AI ethics in 2025" and expect a structured, cited report.
High-intent search queries and answers about installing and using this skill.
Exhaustive research uses parallel multi-source discovery and synthesis to gather comprehensive, well-sourced findings across travel, shopping, work/education, AI coding, and consulting domains. This Skill orchestrates query decomposition, deep scraping, multimedia discovery, and evidence-driven recommendations, ensuring every claim is cited in structured output ready for analysis or RAG pipelines.
Yes. This Skill performs domain-aware research by fetching dynamic data via browser control, discovering multimedia sources, and synthesizing findings with citations attached to each claim. Results include executive summaries, detailed findings, and structured references across diverse sources.
Parallel LLM agents decompose queries and search multiple sources simultaneously rather than sequentially, delivering faster, exhaustive coverage. This approach applies domain context from user preferences, orchestrates cross-LLM workflows, and produces evidence-driven recommendations with multimedia discovery built in.
Research covers travel, shopping, work/education, AI coding, and consulting domains. The Skill loads domain context from preferences, applies clarifying questions to pin goals and success criteria, and delivers structured output with executive summary, detailed findings, and multimedia references suited to each domain.
Yes. The Skill fetches dynamic data via browser control and applies parallel discovery across multiple sources to deliver current findings. Every claim is cited with real-time sources, making it suited for topics requiring up-to-date information and multimedia evidence.
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