Logs Claude Code sessions to LogSeq daily journals with time-stamped summaries and automated tagging.
This skill streamlines the documentation of AI-assisted work by appending concise session summaries directly to your LogSeq daily journal files. It intelligently analyzes the conversation to extract key topics and outcomes, writing them under a dedicated 'CC-Veritable-Records' section using LogSeq's native tab-indented markdown format. By utilizing direct file manipulation rather than complex APIs, it ensures a reliable, offline-first way to maintain a searchable history of your research, coding tasks, and project updates within your personal knowledge management system.
Key Features
01Direct markdown editing for seamless LogSeq block compatibility
02Configurable journal directory via environment variables
03Automatic time-stamping and session summarization using active verbs
04Smart detection of existing journal sections to prevent duplicates
050 GitHub stars
06Intelligent auto-tagging based on project and tool context
Use Cases
01Maintaining a persistent 'Veritable Record' of AI interactions for project tracking
02Automating daily work logs for productivity reporting and developer stand-ups
03Building a searchable knowledge base of research notes and code fixes directly in LogSeq
