What problem does it solve? When facing a concrete technical problem (library choice, API usage, concurrency, integration), developers often get shallow answers or outdated blog posts. This Skill structures the investigation of how a specific technical problem is solved in practice, using a prioritized source hierarchy, and synthesizes findings into an actionable recommendation instead of a list of links. ## Core Features & Use Cases - Prioritized Source Hierarchy: Consults official documentation first, then GitHub issues/PRs and maintainer discussions, then production code, then technical articles. - Confidence-Graded Evidence: Labels findings as CONFIRMED, HIGH CONFIDENCE, POSSIBLE, or SPECULATIVE based on source authority. - Structured Synthesis Output: Produces a fixed research format covering reference, pattern, relevance, adaptation, trade-offs, and recommendation. - Use Case: When deciding how to implement cache invalidation with concurrent writes in Redis, the Skill walks from official Redis docs through GitHub issues and production implementations, then delivers a trade-off-aware recommendation. ## Quick Start Ask the agent to research the best way to implement your specific technical problem, for example how to handle concurrent cache invalidation in Redis, and request a synthesized recommendation with trade-offs.
