research-ops

Evidence-based research provides accurate answers by orchestrating specialized tools to source and verify current public information. It labels all output claims by evidence type, ensuring transparent, actionable results for factual lookups without relying on stale or unsubstantiated data.

The best way to compare options is using a research orchestration skill that generates option comparison memos. It orchestrates specialized research tools to source data, verify facts, and label evidence types, providing transparent, actionable outputs for your comparison needs.

Yes, you can use this skill for lead enrichment and recurring research monitoring tasks. It orchestrates specialized research tools to source and verify current public information across domains, labeling claims as sourced facts, context, inference, or recommendations for full transparency.

Evidence synthesis handles transparent labeling by categorizing every output claim as a sourced fact, user-provided context, inference, or recommendation. This ensures full transparency so you can clearly distinguish between verified public information and analytical conclusions in your research results.

You do not need to manually manage specialized research tools for current information lookups. This skill acts as an operator wrapper, automatically coordinating tools like exa-search, deep-research, and market-research to source, verify, and label evidence for your factual queries.