memory-cleanup

分类: 数据库与数据存储 | 上传者: d2a8k3u | 下载: 0 | 版本: v1.0（最新）
Clean up memory database — deduplicate accumulative records, consolidate near-duplicate episodics, remove junk procedurals and low-value patterns, and optionally split large monolithic memories.
更新日志: Source: GitHub https://github.com/d2a8k3u/claude-code-memory
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SKILL.md

---
name: memory-cleanup
description: >
  Clean up memory database — deduplicate accumulative records, consolidate
  near-duplicate episodics, remove junk procedurals and low-value patterns,
  and optionally split large monolithic memories.
argument-hint: "[optional: 'dedup only', 'episodic only', 'full']"
---

# Memory Cleanup

Clean up noise and duplicates from the memory database. Run this after upgrading the plugin, or whenever search quality degrades due to junk records.

## Steps

### 1. Assess

Run `memory_health` to get current counts and staleness stats.

### 2. Deduplicate accumulative records

These records should exist at most once each. Search for duplicates and merge them.

**Tech-stack:**
1. `memory_search("Technology stack used", type="semantic")`
2. If multiple records have the `tech-stack` tag AND content starts with `Technology stack used:`:
   - Collect all technology items from each record's comma-separated list
   - `memory_update` the most comprehensive record with the union of all items (sorted alphabetically)
   - `memory_delete` all other duplicates
3. **Tag collision check:** If any record has the `tech-stack` tag but does NOT start with `Technology stack used:` (e.g., a detailed dependencies description from memory-init), rename its tag from `tech-stack` to `tech-stack-detail` via `memory_update` to prevent merge conflicts.

**Active modules:**
1. `memory_search("Active modules directories", type="semantic")`
2. If multiple records have the `active-modules` tag AND content starts with `Active modules/directories:`:
   - Same approach: union all items, update the best, delete the rest
3. **Tag collision check:** Same as above — rename non-accumulative records' tag to `active-modules-detail`.

### 3. Consolidate episodic records

1. `memory_list(type="episodic", limit=50)` — scan through all episodic records
2. **Delete meaningless records** that match ANY of:
   - Task is `[Request interrupted by user for tool use]` with no tools AND no files AND no memory ops
   - Content is just a task summary under 15 characters with no tools or files
   - Content is empty or contains only boilerplate markers
3. **Consolidate near-duplicate session-end records:** Group episodic records by tag:
   - `session-end` records: If multiple have the same or near-identical task text (e.g., all say `[Request interrupted by user for tool use]` with similar tool lists), keep only the one with the highest importance. Delete the rest.
   - `session-files` records: If multiple have the same or near-identical file list (>80% overlap), keep only the most recent. Delete the rest.
   - `session-errors` records: Same approach — deduplicate near-identical error records.

### 4. Clean procedural records

1. `memory_list(type="procedural", limit=50)` — scan through all procedural records
2. **Delete junk procedurals** that match ANY of:
   - Content is over 500 characters (real workflows are short command chains, not test scripts)
   - Commands contain `mktemp`, `sqlite3`, manual test setup, or multi-line heredocs — these are test/debug artifacts, not reusable workflows
   - Commands contain hardcoded temp paths (`/var/folders/`, `/tmp/tmp.`)
3. **Deduplicate by category:** Group procedural records by their category tag (`build`, `test`, `lint`, `install`, `deploy`). If multiple records share the same category:
   - Keep the one with the cleanest, shortest command chain
   - Delete the rest

### 5. Clean low-value patterns

1. `memory_list(type="pattern", limit=50)` — scan through all pattern records
2. **Delete low-value patterns** that match ANY of:
   - Content is just a list of tool names with no actionable insight (e.g., `**Tools:** TaskCreate, TaskUpdate, Edit, Bash`)
   - Content is just a list of file paths with no context about what was done or why
   - Title is a generic auto-generated name like `"X Y Z pattern: Tools"` and content provides no real pattern
3. **Keep patterns that:**
   - Describe a recurring behavioral theme (e.g., "Claude not using memory proactively")
   - Identify frequently co-modified files with context about why
   - Capture genuine recurring workflows or decisions

### 6. Split large memories (optional)

Only do this if the user requested a full cleanup or explicitly asked.

1. `memory_list(type="semantic", limit=50)` — find memories over 500 characters with multiple topics
2. For each candidate:
   - `memory_get` to read full content
   - Identify topic boundaries (headers, bold sections, topic shifts)
   - `memory_store` each section as a new memory (same type, tags, context)
   - `memory_relate` sibling sections
   - `memory_delete` the original

### 7. Report

Summarize what was done:
- Accumulative records deduplicated (before → after count)
- Tag collisions fixed
- Episodic records consolidated (deleted count)
- Procedural records cleaned (deleted count)
- Patterns cleaned (deleted count)
- Large memories split (if applicable)
- Final memory count from `memory_health`

## Guidelines

- **Default scope is steps 2-5.** Only do step 6 if explicitly requested.
- **Be conservative with deletion.** If unsure whether a record is junk, keep it.
- **Preserve the best record** when deduplicating — pick the one with the most items, highest importance, or most recent date.
- **Don't touch** semantic records that aren't accumulative duplicates (tech-stack, active-modules) unless fixing tag collisions.

$ARGUMENTS
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memory-cleanup

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