What problem does it solve? Finding files, notes, and journals scattered across a cloud desktop is slow with keyword search alone, and agents often write files to wrong locations. This Skill provides a retrieval-first workflow for semantically searching Desktop files via gbrain and enforces correct write paths under the user's files root. ## Core Features & Use Cases - Semantic file retrieval: Query Desktop files, journals, research notes, and PDF extracts with gbrain MCP tools using recency filters and cross-source search. - Structured file writing: Enforces writing markdown only under JOSHU_FILES_ROOT with a defined layout for journals, projects, research, and connectors. - Note filing workflows: Reference guides for filing product ideas into project journals and finding self-sent notes across email and Slack with cross-channel dedup. - Use Case: A user asks "what did I write about investor outreach last month?" — the agent runs a gbrain query with recency filters, cites the matching journal slug, and appends new notes to the existing journal file instead of duplicating it. ## Quick Start Ask the agent to search your Desktop files for notes about a specific topic using gbrain semantic query.