AgentSkillsCN

memory-recall

搜索并调用记忆内容。当话题与过往讨论相关，或当用户询问先前的上下文时，该技能会自动触发。

SKILL.md
--- frontmatter
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.