memory-bank — for Claude Code memory-bank, claude-code-deprecated, community, for Claude Code, ide skills, architecture.md, decisions.md, patterns.md, troubleshooting.md, api-surface.md

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need skill: memory bank — structured project knowledge sync. 本地化技能摘要: Acts as a long-term knowledge layer that survives context compaction and session resets. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Skill: Memory Bank — Structured Project Knowledge Sync
Build and maintain a structured memory bank at .claude/memory/ that stays
synchronized with code changes. Acts as a long-term knowledge layer that survives
context compaction and session resets.
Inspired by russbeye/claude-memory-bank.

# 核心主题

Wellux Wellux
[1]
[0]
更新于: 4/6/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
70
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need skill: memory bank — structured project knowledge sync. 本地化技能摘要: Acts as a long-term knowledge layer that survives context compaction and session resets. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: memory-bank helps agents skill: memory bank — structured project knowledge sync. Acts as a long-term knowledge layer that survives context compaction and session resets. This AI agent skill supports Claude Code

适用 Agent 类型

适用场景: Ideal for AI agents that need skill: memory bank — structured project knowledge sync.

赋予的主要能力 · memory-bank

适用任务: Applying Skill: Memory Bank — Structured Project Knowledge Sync
适用任务: Applying Build and maintain a structured memory bank at .claude/memory/ that stays
适用任务: Applying synchronized with code changes. Acts as a long-term knowledge layer that survives

! 使用限制与门槛

  • 限制说明: Use /context-diff first to understand what changed, then update only the relevant warm-tier files.
  • 限制说明: Requires repository-specific context from the skill documentation
  • 限制说明: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

memory-bank 是什么?

适用场景: Ideal for AI agents that need skill: memory bank — structured project knowledge sync. 本地化技能摘要: Acts as a long-term knowledge layer that survives context compaction and session resets. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 memory-bank?

运行命令:npx killer-skills add Wellux/claude-code-deprecated/memory-bank。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

memory-bank 适用于哪些场景?

典型场景包括:适用任务: Applying Skill: Memory Bank — Structured Project Knowledge Sync、适用任务: Applying Build and maintain a structured memory bank at .claude/memory/ that stays、适用任务: Applying synchronized with code changes. Acts as a long-term knowledge layer that survives。

memory-bank 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

memory-bank 有哪些限制?

限制说明: Use /context-diff first to understand what changed, then update only the relevant warm-tier files.;限制说明: Requires repository-specific context from the skill documentation;限制说明: Works best when the underlying tools and dependencies are already configured。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add Wellux/claude-code-deprecated/memory-bank。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    memory-bank 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

memory-bank

Acts as a long-term knowledge layer that survives context compaction and session resets. This AI agent skill supports Claude Code, Cursor, and Windsurf

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Skill: Memory Bank — Structured Project Knowledge Sync

Role

Build and maintain a structured memory bank at .claude/memory/ that stays synchronized with code changes. Acts as a long-term knowledge layer that survives context compaction and session resets. Inspired by russbeye/claude-memory-bank.

Memory Bank Structure

.claude/memory/
├── hot/
│   └── hot-memory.md          # Always loaded (≤50 lines, key active context)
├── warm/
│   ├── architecture.md        # System design, component relationships
│   ├── decisions.md           # Key decisions with rationale
│   ├── patterns.md            # Recurring code patterns, idioms
│   ├── troubleshooting.md     # Known issues, workarounds, gotchas
│   └── api-surface.md         # Public API contracts and conventions
└── glacier/
    └── YYYY-MM-DD-<slug>.md   # Archived decisions + historical context

When to invoke

  • After a major refactor (sync architecture.md)
  • After resolving a tricky bug (sync troubleshooting.md)
  • After adding a new API endpoint (sync api-surface.md)
  • After making an architectural decision (sync decisions.md)
  • Periodically to keep memory current

Instructions

Full sync

  1. Read all source files in scope (or all of src/ for full sync)
  2. Compare against existing warm-tier files
  3. Update each warm-tier file with what's changed:
    • architecture.md: component diagram, module responsibilities, data flow
    • decisions.md: key choices with WHY, not just what
    • patterns.md: recurring idioms, anti-patterns seen
    • troubleshooting.md: tricky bugs, gotchas, workarounds
    • api-surface.md: endpoint signatures, request/response models
  4. Update hot-memory.md with any critical new facts (keep ≤50 lines)
  5. Archive stale but important context to glacier

After a specific change

Use /context-diff first to understand what changed, then update only the relevant warm-tier files.

Query mode

/memory-bank query "src/auth/**" — surface relevant warm-tier documentation for a path

Path-Filtered Query

When given a path argument:

  1. Identify which warm-tier file covers that domain
  2. Return the relevant section
  3. Note if it's stale (last updated >2 weeks ago)

Output

## Memory Bank Sync: <scope>

### Updated
- warm/architecture.md → added FastAPI middleware order diagram
- warm/decisions.md → logged setuptools.build_meta decision
- warm/troubleshooting.md → added exc_info filtering gotcha

### Hot memory: updated active_feature key

### No changes needed
- warm/api-surface.md (current)
- warm/patterns.md (current)

### Archived to glacier
- Old routing design (pre-v0.9.0) → glacier/2026-04-05-routing-v1.md

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