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jarvis-recall

Searches vault content by meaning using embeddings and returns ranked results with relevance scores.

3|Updated Feb 8, 2026
Search Tags:#recall#retrieval#memory#vault#semantic-search#jarvis
One-click install
npx skills add https://github.com/rsprudencio/claude-plugins --skill jarvis-recall
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jarvis-recall
Source: https://github.com/rsprudencio/claude-plugins/tree/main/plugins/jarvis/skills/jarvis-recall
Command: npx skills add https://github.com/rsprudencio/claude-plugins --skill jarvis-recall

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Vaults often contain valuable context but traditional keyword search misses meaning. This skill enables semantic recall of vault content by intent, linking related notes, observations, and journal entries even when exact terms differ.

Core Features & Use Cases

  • Semantic recall across vault memory using embeddings to surface results by meaning.
  • Handles Tier 1 (file-backed) and Tier 2 (ephemeral) results, with clear previews and relevance scoring.
  • Use Case: quickly fetch decisions and observations about a topic without remembering exact phrasing.

Quick Start

Ask Jarvis to recall notes about a topic from your vault using semantic search.

Frequently Asked Questions about jarvis-recall

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does semantic search for vault notes work when I don't remember the exact keywords?▼

Semantic search finds related vault content by meaning using an embedding store, retrieving notes, observations, and decisions even when exact phrasing differs. It returns tiered results with titles, paths, and relevance scores.

How do I retrieve past decisions and notes about a specific topic from my vault?▼

To retrieve past decisions, prompt with phrases like 'recall notes about X' or 'what did we decide about X'. The skill fetches relevant vault content by intent, returning tiered file-backed and ephemeral results with clear previews and relevance scoring.

What happens if semantic search is unavailable or my vault is empty?▼

When semantic search is unavailable or the vault is empty, the skill falls back to keyword search or a vault index prompt. This ensures you still receive retrieval results rather than failing silently.

Can I use semantic retrieval to surface meaning across different types of vault content?▼

Yes, semantic retrieval surfaces meaning across various vault content types. It handles Tier 1 file-backed and Tier 2 ephemeral results, linking related notes, observations, and journal entries by intent rather than exact terms.

Is semantic vault search better than traditional keyword search for finding related context?▼

Semantic vault search surpasses traditional keyword search by linking related notes and observations through meaning rather than exact terms. It uses embeddings to retrieve content by intent, ensuring relevant context is found even with different vocabulary.

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