Skills

Memory Recall

Search and recall relevant memories from past sessions via memsearch.

Install

npx skills add zilliztech/memsearch --skill memory-recall -g -a claude-code -y
Repository
zilliztech/memsearch2.8k
Category
Testing
Updated
9d ago
License
MIT
Context cost
Lightabout 606 tokens
Runs scripts
No, instructions only

What it does

Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this before'. Also use when you see `[memsearch] Memory available` hints injected via SessionStart or UserPromptSubmit. Typical flow: search for 3-5 chunks, expand the most relevant, optionally deep-drill into original transcripts via the anchor format. Skip when the question is purely about current code state (use Read/Grep), ephemeral (today's task only), or the user has explicitly asked to ignore memory.

You have three memory tools for progressive recall. Start with search, go deeper only when needed.

Tools (use progressively)

1. memory_search, Start here

Semantic search across all past conversation memories.

  • Returns: chunk summaries with dates, topics, chunk_hash identifiers
  • Use for: "What did we discuss about X?", "Have I asked about Y before?"

2. memory_get, When search results aren't detailed enough

Expands a specific chunk_hash to show the full markdown section with surrounding context.

  • Input: chunk_hash from memory_search results
  • Returns: full section text, may include transcript anchors (<!-- session:UUID transcript:PATH -->)
  • Use for: "Show me the details", "I need more context on that result"

3. memory_transcript, When you need the exact original conversation

Parses the original session transcript to retrieve the raw dialogue.

  • Input: transcript_path from the anchor comment in memory_get results
  • Returns: formatted conversation with [User]/[Assistant] labels and tool calls
  • Use for: "What exactly did I say?", "Show me the original conversation"
  • If the anchor format is unfamiliar (e.g. rollout:, turn:, db: instead of transcript:), try reading the referenced file directly to explore its structure and locate the relevant conversation by the session or turn identifiers in the anchor.

Decision guide

User intentTools to use
Quick recall ("did we discuss X?")memory_search only
Need details ("what was the solution?")memory_search → memory_get
Need original dialogue ("show me the exact conversation")memory_search → memory_get → memory_transcript

Tips

  • memory_search returns chunk_hash, pass it to memory_get for expansion
  • memory_get may reveal <!-- session:UUID transcript:PATH --> anchors, pass the path to memory_transcript
  • If memory_search returns no results, try rephrasing with different keywords
  • Results are sorted by relevance (hybrid BM25 + vector search)
Read the whole SKILL.md on GitHub

More in Testing