What problem does it solve? When working across multiple sessions, developers lose track of how past problems were solved. This Skill retrieves observations, sessions, and prompts from claude-mem's persistent memory database so you can answer questions like "did we already fix this?" without re-reading entire conversation histories. ## Core Features & Use Cases - Indexed Search: Query the memory database with filters for project, observation type (bugfix, feature, decision, discovery, change), and date ranges, returning compact results with IDs. - Timeline Context: Retrieve chronological context around any observation to understand what happened before and after a specific event. - Batch Fetching: Pull full details for multiple filtered observation IDs in a single request, achieving roughly 10x token savings over fetching everything. - Use Case: A user asks "how did we handle JWT authentication last month?" The Skill searches for matching observations, reviews the timeline around relevant results, then fetches full details only for the IDs that matter. ## Quick Start Search my claude-mem memory for how we fixed the authentication token expiration bug in previous sessions.