This Skill performs structured, multi-source research to turn documentation, academic literature, and practitioner articles into actionable recommendations…
This Skill performs structured, multi-source research to turn documentation, academic literature, and practitioner articles into actionable recommendations. It first parses research parameters (topic, optional date range, source preferences), then conceptually searches three parallel streams: documentation (SDKs, API references, best practices with source URLs), academic papers (arXiv/Google Scholar/ACL with methodologies, metrics, dates and links), and practitioner write-ups (engineering blogs, postmortems, production lessons with URLs). It synthesizes cross-source findings into consensus patterns, source-specific insights, and contradictions/trade-offs, highlighting where theory and practice diverge. Finally it runs a gap analysis against existing book or repo content (glob/grep of chapters/**/*.md, frontmatter checks) and rates coverage. Use cases include literature reviews, design decision briefs, migration planning, and content updates; core value is high-confidence, evidence-linked recommendations and clear remediation steps.
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