ck:research

To gather multi-source evidence for technology evaluation, this skill applies a phase-driven research methodology. It combines official documentation, GitHub repositories, and authoritative blogs to cross-validate findings with rigorous citations.

The best way to structure technical research for stakeholder reviews is to generate reproducible reporting. This skill produces concise, mappable reports that map evidence to evaluation criteria, creating a clear audit trail for decision-making.

Yes, you can use optional Gemini or WebSearch workflows to compare frameworks and architectures. This skill supports multi-source gathering across these workflows to select viable technology options based on defined evaluation criteria.

Phase-based research reduces ambiguity in technology decisions by defining scope, gathering evidence, and applying strict evaluation criteria sequentially. This structured approach ensures objective validation and reproducible results across multiple sources.

No specific dependencies are required to gather requirements using this technical research skill. It operates independently to define scope and apply evaluation criteria, utilizing optional Gemini or WebSearch workflows for multi-source gathering.

You should avoid automated documentation gathering for architecture evaluation when your problem space cannot be addressed by official docs, GitHub repos, or authoritative blogs. The skill relies on these sources for cross-validation and reproducible reporting.