learn

To save research findings for future Claude sessions, this Skill stores structured knowledge as Markdown files with frontmatter in the local ~/.claude/learnings/ directory. It automatically enforces slug generation and checks for existing knowledge to enable long-term recall.

Building a local knowledge base is done by researching topics and saving the structured results directly to your local environment. This approach automates collection and storage, preventing the loss of valuable insights after finishing a research session.

Yes, you can update existing knowledge entries as this approach supports incremental updates and versioned memory for repeated topics. It checks for existing knowledge before storing results, allowing you to append new research findings seamlessly.

Memory graph indexing works by optionally integrating with the memory tool to map topic-level connections. This enables quick recall of structured knowledge across libraries, patterns, CLI tools, and language features via the /recall command.

No external dependencies are required to save knowledge to the learnings directory. The Skill operates independently to write Markdown with frontmatter locally, though optional memory graph indexing utilizes the memory tool if available.

Research fails to persist when it is not explicitly saved to the local learnings directory. This Skill solves that by storing structured knowledge as Markdown files in ~/.claude/learnings/, ensuring your topic research survives across future sessions for long-term recall.