Search memory stores via SQLite FTS5 index and return top 5 cited results.
npx skills add https://github.com/eprouveze/HealthPulse --skill recall-eprouveze
Please help me install this Agent Skill. Skill: recall Source: https://github.com/eprouveze/HealthPulse/tree/main/.claude/skills/recall Command: npx skills add https://github.com/eprouveze/HealthPulse --skill recall-eprouveze
This skill enables fast retrieval of information across all memory stores, surfacing relevant decisions, feedback, solutions, and context with evidence paths and confidence scores.
Run a query using the memory search interface to retrieve the most relevant past items and their evidence.
High-intent search queries and answers about installing and using this skill.
Semantic memory search queries multiple stores using an SQLite FTS5 index with Gemini embeddings, returning the top 5 results with source citations and confidence scores.
Retrieve past decisions and context using cross-store search, which surfaces relevant items with evidence paths, store type, project, and a breakdown of scoring factors.
The search preprocesses queries by expanding common abbreviations before retrieval, then presents structured results with evidence paths and a breakdown of confidence scoring factors.
If the primary index is unavailable, the search automatically falls back to a parallel grep-based search across designated stores, surfacing results with weighted scoring and deduplication.
Retrieval relies on an Anamnesis SQLite index combining FTS5 and Gemini embeddings to generate evidence paths and confidence scores, requiring no additional dependencies for standard operation.
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