Agent-Skills.md

Agent Skills: Memory Recall

Search and recall memories. Auto-triggered when a topic relates to past discussions or the user asks about previous context.

UncategorizedID: legacybridge-tech/claude-plugins/memory-recall

Repository

legacybridge-tech/claude-plugins
legacybridge-techLicense: MIT
5

Install this agent skill to your local

pnpm dlx add-skill https://github.com/legacybridge-tech/claude-plugins/tree/HEAD/engram/skills/memory-recall

Skill Files

Browse the full folder contents for memory-recall.

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engram/skills/memory-recall/SKILL.md

Skill Metadata

Name
memory-recall
Description
Search and recall memories. Auto-triggered when a topic relates to past discussions or the user asks about previous context.

Memory Recall

Search and retrieve relevant memories from the memory files.

When to Use

This skill is auto-triggered by the Engram hook instructions. Use it when:

  • The current topic might relate to past discussions
  • The user references something from a previous conversation
  • You're uncertain about context that may have been discussed before
  • The user asks "do you remember..." or similar queries

Do NOT guess or assume — search memory files first, then respond with confidence.

Workflow

1. Read Configuration

Read .claude/memory-settings.json to get the configured file names.

2. Extract Search Keywords

From the current conversation context, identify:

  • Key topics, names, technologies, or concepts
  • Time references ("last week", "when we discussed X")
  • Specific terms the user mentioned

3. Search in Parallel

Execute searches across all three files simultaneously:

Preferences File

  • Read the full file (it's small, designed to be loaded entirely)
  • Extract relevant sections

Conversations File

  • Use Grep to search for keywords
  • Results are in reverse chronological order (newest first)
  • Look for matching ### YYYY-MM-DD entries and their content

Long-Term Memory File

  • Use Grep to search for keywords
  • Check across all subsections (milestones, decisions, lessons, etc.)

4. Synthesize Results

Combine findings from all files into a coherent response:

  • Prioritize the most relevant and recent information
  • Cross-reference between files (e.g., a preference change might relate to a conversation)
  • Present information naturally — don't list "found in file X"

5. Response Style

Integrate recalled memories naturally into your response. Examples:

Good: "Based on our previous discussion, you decided to use PostgreSQL for this project. You also mentioned preferring connection pooling via PgBouncer."

Bad: "I searched memory_conversations.md and found an entry from 2025-01-15 that mentions PostgreSQL. I also found in memory_longterm.md under Architecture Decisions..."

The user should feel like you genuinely remember, not like you're reading from a database.

Memory Recall Skill | Agent Skills