What problem does it solve? Agent sessions often make decisions on unverified assumptions or secondhand information, and findings get lost between sessions. This Skill investigates a question against primary sources and persists the findings as a numbered research artefact that future sessions can consume. ## Core Features & Use Cases - Frame checking: Detects when a question arrives with an inherited premise or option list, states the shared frame, and tests the strongest option outside it before investigating. - Primary-source investigation: Follows every claim back to official docs, source code, specs, or first-party APIs rather than secondary write-ups. - Structured artefacts: Writes findings to agent/research/NN-<slug>.md with Question, Frame, and Findings sections, each claim cited by URL, file path, or commit, and cross-linked to related tickets via frontmatter. - Use Case: A ticket proposes three caching options. Run the research skill to test the framing, verify each option against the library's official documentation, and produce a cited artefact the implementation session reads directly. ## Quick Start Ask the agent to research whether the current pagination approach in the API client handles cursor expiry correctly and write up the findings.