research-domain-context

To fill domain knowledge gaps, this skill executes targeted web research to fetch high-signal sources, synthesizing competitive landscape, market data, and regulatory requirements with confidence scoring and strict source attribution into a context artifact.

You can research regulatory requirements and market data by applying this skill when long-term memory lacks domain coverage, executing up to five targeted web searches to fetch and synthesize missing vertical domain information with citations.

Yes, it writes a structured domain-context.md artifact directly to a specified short-term memory (STM) path, ensuring subsequent downstream skills can access the gathered facts with strict traceability and confidence levels.

The limit for gathering competitive landscape and domain knowledge is up to five targeted web searches per execution, fetching high-signal authoritative sources to synthesize the missing context with confidence scoring.

Yes, you can use this for enterprise development workflows needing regulatory context, as it produces source-attributed synthesis with confidence levels and writes a traceable domain-context artifact to short-term memory for downstream use.

You should avoid this targeted web research approach when your long-term memory already contains sufficient domain knowledge coverage, as the skill specifically triggers to fill identified vertical knowledge gaps like market data or competitive landscapes.