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PythonReactSEOPDF
GitHub Skill

recall-memory

Search and retrieve from memory. Use when user asks about past conversations, "what did we discuss", "find my notes about", "remember when", or needs historical context.

senlima-sun☆ 0 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Recall from Memory

Search and retrieve previously saved memories from aiii's local store.

When to Use

  • User asks about previous conversations
  • User needs context from past sessions
  • User wants to find specific notes or decisions
  • Before making a decision that might contradict past context

Instructions

  1. Parse the user's query for:

    • Keywords and topics
    • Time references ("yesterday", "last week", "when we discussed X")
    • Space hints ("my work notes", "health stuff")
  2. Formulate the search:

    • Extract primary search terms
    • Identify space filter if mentioned
    • Determine result limit (default 5-10)
  3. Call recall_memories tool:

    {
      "query": "search terms",
      "space_id": "space_xxx", // optional
      "limit": 10
    }
    
  4. Present results clearly:

    • Show title and date for each result
    • Include brief summary preview
    • Indicate the source (claude-code, claude-desktop, etc.)
    • Group by space if multiple spaces returned
  5. Offer to expand:

    • Ask if user wants full content of any specific memory
    • Offer to narrow search if too many results
    • Suggest related searches if no results found

Result Format

## Found 3 memories

### Work Space
1. **Auth refactoring: JWT to session-based** (Jan 7, 2026)
   > Refactored authentication from JWT to session-based approach...
   Source: claude-code | Tags: auth, jwt

2. **Rate limiting implementation** (Jan 6, 2026)
   > Added sliding window rate limiter to API endpoints...
   Source: claude-code | Tags: api, security

### Health Space
3. **Vitamin D discussion** (Jan 5, 2026)
   > Discussed optimal vitamin D levels and supplementation...
   Source: claude-desktop | Tags: vitamins, supplements

No Results Handling

If no memories match:

  1. Acknowledge the search found nothing
  2. Suggest broadening search terms
  3. List available spaces that might contain relevant info
  4. Offer to help reformulate the query

Example Interaction

User: "What did we discuss about authentication last week?"

Claude:

  1. Parses: topic="authentication", time="last week"
  2. Searches: query: "authentication", limit: 10
  3. Finds 2 results in Work space
  4. Presents formatted results
  5. Offers: "Want me to show the full content of any of these?"

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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