recall

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Search the AI-ready vault memory system by keyword or concept. Use when needing to retrieve previously stored information, find past decisions, or locate relevant context from earlier sessions.

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[Memory and Context Management]

When & Why to Use This Skill

The Recall skill provides Claude with a sophisticated long-term memory retrieval system. By searching an AI-ready vault through keywords and conceptual matching, it enables the agent to access episodic, semantic, procedural, and strategic data from past sessions, ensuring high contextual relevance and continuity in complex workflows.

Use Cases

  • Decision Tracking: Retrieve the rationale behind past project decisions to ensure consistency in current strategy and execution.
  • Knowledge Management: Instantly locate specific facts, research findings, or technical documentation stored within the semantic memory layer.
  • Workflow Optimization: Access 'Procedural' memories to reuse successful patterns, coding standards, or step-by-step guides developed in previous interactions.
  • Session Continuity: Seamlessly pick up complex tasks by recalling the specific context, earlier drafts, and user preferences from historical sessions.
namerecall
descriptionSearch the AI-ready vault memory system by keyword or concept. Use when needing to retrieve previously stored information, find past decisions, or locate relevant context from earlier sessions.

Recall

Search memories by keyword and concept.

Workflow

  1. Parse search terms from $ARGUMENTS

    • If none provided, ask user what to search for

  2. Search memory files

    • Search frontmatter concepts field
    • Search file content
    • Search filenames

  3. Filter and rank results

    • Prioritize by importance score
    • Prioritize by recency
    • Prioritize by concept match strength

  4. Present findings

    • Show relevant memories with summaries
    • Include file paths for reference
    • Note memory type and importance

Search Locations

Areas/AI/Memory/
├── Episodic/    # Events, experiences
├── Semantic/    # Facts, knowledge
├── Procedural/  # Patterns, how-tos
└── Strategic/   # Decisions, plans

Parameters

  • $ARGUMENTS (required): Search terms or concepts to find

Default Paths

Searches the memory system at: Areas/AI/Memory/

Related Skills

  • /remember - Store new memories
  • /hydrate - Load recent relevant memories at session start
  • /glean - Discover patterns across memories

Search Patterns

# Content search
Grep pattern="{terms}" path="Areas/AI/Memory" glob="*.md"

# Type-filtered search
Grep pattern="{terms}" path="Areas/AI/Memory/Strategic" glob="*.md"

Output Format

For each relevant memory found:

  • Title (linked to file)
  • Type and Importance
  • Key concepts
  • Brief summary (2-3 sentences)

Example

User: /recall teaching patterns

Response: "Found 2 relevant memories:

  1. Teaching Pattern for AI Concepts (Procedural, 0.6) Concepts: teaching, education, show-dont-tell, ux-design Pattern: Show → Problem → Conceptual. Lead with demos that create wonder, name the pain, then layer in principles. Path: Areas/AI/Memory/Procedural/2025-01-08 - Teaching Pattern for AI Concepts.md

  2. AI Ready Vault Flagship Guide Design (Strategic, 0.8) Concepts: ai-ready-vault, guide, scroll-experience The interactive scroll guide uses show-don't-tell with terminal demos. Path: Areas/AI/Memory/Strategic/2025-01-08 - AI Ready Vault Product Vision.md"