What problem does it solve? Valuable reasoning, decisions, and reusable assets inside Google Gemini chats are trapped in an ephemeral interface; this Skill converts manually pasted Gemini material into durable, self-contained Markdown that can be committed to a repository and resumed without any Google account access. ## Core Features & Use Cases - Evidence-aware extraction: Builds turn and content-element ledgers, separates stated facts from inferences and unknowns, and records provenance, capture mode, and completeness for every artifact. - Adjustable extraction depth: Supports rapid, balanced, and comprehensive profiles (with aliases like scan, distill, and catalog) that control granularity without relaxing privacy or verification rules. - Deterministic artifact writer: The bundled Python utility validates required headings, derives safe filenames from a distilled topic chain, blocks accidental overwrites, and supports dry-run and JSON output. - Use Case: You paste a long Gemini Deep Research conversation with a Canvas app reference and missing chart payloads; the Skill catalogs each element, flags unavailable sidecars, and writes a standalone handoff document another agent can resume from. ## Quick Start Ask the agent to extract the pasted Gemini conversation into a standalone Markdown artifact at balanced depth using this Skill.
