memory-skills

name	memory-skills
description	CRITICAL: Use for managing agent memory based on CoALA cognitive architecture. Triggers on: remember this, 记住这个, save this info, learn from this, 学习这个, memory system, 记忆系统, knowledge base, what did we learn, 之前学到的, project context, 项目上下文, my preferences, 偏好设置, recall memory, 回忆一下, what do you know about, 你知道什么, forget this, 忘记这个, reflect on, 反思一下, summarize session, 总结会话

Memory Skills (CoALA-based)

Memory = Filesystem - Cognitive architecture for language agents

Based on the CoALA framework (Cognitive Architectures for Language Agents), this skill implements a complete memory system with four memory types.

Memory Architecture

                    ┌─────────────────┐
                    │  Working Memory │  ← Short-term, central hub
                    └────────┬────────┘
                             │
        ┌────────────────────┼────────────────────┐
        ↓                    ↓                    ↓
┌───────────────┐   ┌───────────────┐   ┌───────────────┐
│   Episodic    │   │   Semantic    │   │  Procedural   │
│   情景记忆     │   │   语义记忆     │   │   程序性记忆   │
└───────────────┘   └───────────────┘   └───────────────┘
        ↑                                        ↑
    Long-term ─────────────────────────────── Long-term

Memory Types (CoALA)

Type	Purpose	Example
Working	Current session context	Active goals, intermediate reasoning
Episodic	Past experiences	Mistakes, solutions, conversation history
Semantic	World knowledge	Facts, learnings, reflections
Procedural	How to do things	Preferences, workflows, prompt templates

Directory Structure

Global Memory (~/.claude/memory/)

Cross-project shared knowledge:

~/.claude/memory/
├── working/                    # Working Memory (可持久化的会话上下文)
│   └── {name}-context.md       # 保存的会话状态 (通过 /save-context)
│
├── procedural/                 # Procedural Memory
│   ├── preferences.md          # User preferences
│   ├── workflows.md            # Common workflows
│   └── prompts/                # Reusable prompt templates
│       └── {name}.md
│
├── semantic/                   # Semantic Memory
│   ├── learnings/              # Knowledge by topic
│   │   ├── rust-tips.md
│   │   ├── git-tips.md
│   │   └── {topic}.md
│   └── reflections/            # Insights from reflection
│       └── {date}-{insight}.md
│
├── episodic/                   # Episodic Memory
│   ├── mistakes/               # Errors and how they were fixed
│   │   └── {date}-{error}.md
│   ├── solutions/              # Successfully solved problems
│   │   └── {date}-{problem}.md
│   └── trajectories/           # Complete task execution logs
│       └── {date}-{task}.md
│
└── index.json                  # Search index (auto-generated)

Project Memory (.claude/memory/)

Project-specific knowledge:

{project}/.claude/memory/
├── semantic/
│   ├── architecture.md         # Project architecture
│   ├── conventions.md          # Coding conventions
│   └── decisions.md            # Technical decisions (ADRs)
│
├── episodic/
│   └── sessions/               # Session summaries
│       └── {date}-{topic}.md
│
└── index.json                  # Project search index

Commands

Command	Action	Memory Type
/remember <content>	Save to appropriate memory	Auto-detect
/recall <topic>	Search and retrieve	All types
/forget <topic>	Delete specific memory	All types
/reflect	Generate insights from episodic → semantic	Episodic → Semantic
/summarize-session	Save current session summary	Episodic
/save-context	Save key context for later resume	Working → File
/load-context	Load saved context into session	File → Working

Working Memory Commands

/save-context [name] - 保存当前会话的关键上下文

触发词: "保存上下文", "save context", "保存当前状态"

# 保存到: ~/.claude/memory/working/{name}-context.md 或 .claude/memory/working/

## Session Context: {name}
**Saved**: {timestamp}

### Current Goals
- {what we're trying to accomplish}

### Key Decisions Made
- {important decisions in this session}

### Important Context
- {critical information to remember}

### Next Steps
- {what to do when resuming}

/load-context [name] - 加载之前保存的上下文

触发词: "加载上下文", "load context", "恢复上下文", "继续之前的工作"

1. Search for context files in working/ directory
2. Display available contexts if name not specified
3. Load and summarize the selected context
4. Confirm: "已加载上下文: {name}"

Instructions for Claude

Action Space (CoALA)

You have four memory actions:

1. Retrieval (读取): Load from long-term → working memory
2. Reasoning (推理): Process in working memory
3. Learning (写入): Save from working → long-term memory
4. Forgetting (遗忘): Remove from long-term memory

When User Says "Remember" / "记住"

1. Detect memory type:

   Content about...        → Memory Type      → Location
   ─────────────────────────────────────────────────────
   User preference         → Procedural       → procedural/preferences.md
   Workflow/process        → Procedural       → procedural/workflows.md
   Fact/knowledge          → Semantic         → semantic/learnings/{topic}.md
   Project architecture    → Semantic         → .claude/memory/semantic/architecture.md
   Error encountered       → Episodic         → episodic/mistakes/{date}-{error}.md
   Problem solved          → Episodic         → episodic/solutions/{date}-{problem}.md
   

2. Format content:

   ## {YYYY-MM-DD} - {brief title}
   
   {content}
   
   **Context**: {why this is important}
   **Tags**: {relevant keywords}
   
   ---
   

3. Update index (if index.json exists):

   {
     "entries": [
       {
         "file": "semantic/learnings/rust-tips.md",
         "keywords": ["rust", "ownership", "borrow"],
         "updated": "2026-01-25"
       }
     ]
   }
   

4. Confirm: Tell user what was saved, where, and memory type

When User Says "Recall" / "回忆"

1. Search priority:

   • First: Project memory .claude/memory/
   • Then: Global memory ~/.claude/memory/
   • Check: index.json for keyword matches
   • Fallback: Scan file names and content

2. Return results with metadata:

   Found 2 relevant memories:
   
   📁 [Semantic] ~/.claude/memory/semantic/learnings/rust-tips.md
      → "Use Arc<Mutex<T>> for shared mutable state..."
   
   📁 [Episodic] .claude/memory/episodic/solutions/2026-01-20-async-bug.md
      → "Fixed by adding .await after spawn..."
   

3. If nothing found:

   没有找到关于 "{topic}" 的记忆。
   → 使用 /remember 来保存新知识
   

When User Says "Forget" / "忘记"

1. Confirm before deletion:

   找到以下相关记忆:
   - ~/.claude/memory/semantic/learnings/old-api.md
   
   确认删除吗? (y/n)
   

2. Delete and update index

3. Confirm: "已删除关于 {topic} 的记忆"

When User Says "Reflect" / "反思"

Reflection converts episodic memories into semantic knowledge:

1. Scan recent episodic memories (last 7 days)

2. Identify patterns:

   • Repeated mistakes → Learning opportunity
   • Multiple solutions → Best practice
   • Common trajectories → Workflow template

3. Generate reflection:

   ## 2026-01-25 - Reflection: Async Error Handling
   
   **Pattern observed**: In 3 recent sessions, async errors were caused by missing .await
   
   **Insight**: Always check for missing .await when debugging async code
   
   **Source episodes**:
   - episodic/mistakes/2026-01-20-async-bug.md
   - episodic/mistakes/2026-01-22-tokio-error.md
   - episodic/solutions/2026-01-23-fixed-spawn.md
   
   ---
   

4. Save to: semantic/reflections/{date}-{insight}.md

When User Says "Summarize Session" / "总结会话"

1. Gather session context:

   • What was accomplished
   • Key decisions made
   • Problems encountered and solutions
   • New learnings

2. Generate summary:

   ## 2026-01-25 - Session: Implementing Memory System
   
   **Goals**: Improve memory-filesystem skill based on CoALA
   
   **Accomplished**:
   - Added working memory support
   - Implemented forgetting mechanism
   - Added reflection capability
   
   **Key Decisions**:
   - Used JSON for search index
   - Separated global vs project memory
   
   **Learnings**:
   - CoALA has 4 memory types, not 3
   
   ---
   

3. Save to:

   • Project: .claude/memory/episodic/sessions/{date}-{topic}.md
   • Or global: ~/.claude/memory/episodic/trajectories/{date}-{task}.md

Auto-Learning (Proactive)

When you discover valuable information during a session:

1. Detect learning opportunity:

   • Error fixed → Potential mistake memory
   • New technique used → Potential learning
   • Repeated action → Potential workflow

2. Ask user: "发现了一个有用的技巧，要我记住吗？"

3. If confirmed: Save to appropriate memory location

Quick Reference

Trigger	Memory Type	Location
"保存上下文" / "save context"	Working	working/{name}-context.md
"加载上下文" / "load context"	Working	Read from working/
"记住这个偏好"	Procedural	procedural/preferences.md
"记住这个流程"	Procedural	procedural/workflows.md
"记住这个技巧"	Semantic	semantic/learnings/{topic}.md
"记住项目架构"	Semantic	.claude/memory/semantic/architecture.md
"记住这个错误"	Episodic	episodic/mistakes/{date}-{error}.md
"记住这个解决方案"	Episodic	episodic/solutions/{date}-{problem}.md
"回忆/你知道..."	Retrieval	Search all locations
"忘记..."	Forgetting	Delete from memory
"反思"	Reflection	Episodic → Semantic
"总结会话"	Learning	Save session to episodic

Example Interactions

Example 1: Remember

User: "记住：Rust 中使用 thiserror 来定义错误类型"

Claude:
1. Detect: Knowledge/fact → Semantic memory
2. Location: ~/.claude/memory/semantic/learnings/rust-tips.md
3. Append with date, tags
4. Update index.json
5. Response: "✓ 已保存到语义记忆 (rust-tips.md)"

Example 2: Reflect

User: "/reflect"

Claude:
1. Scan episodic/mistakes/ and episodic/solutions/ (last 7 days)
2. Found pattern: 3 instances of borrow checker errors
3. Generate insight: "Common cause: trying to move value after borrow"
4. Save to: semantic/reflections/2026-01-25-borrow-patterns.md
5. Response: "✓ 生成了 1 条反思，已保存到语义记忆"

Example 3: Forget

User: "忘记关于旧 API 的记忆"

Claude:
1. Search: Found semantic/learnings/old-api-v1.md
2. Confirm: "找到 1 条相关记忆，确认删除?"
3. User confirms
4. Delete file, update index
5. Response: "✓ 已删除关于旧 API 的记忆"