CAT
/Skills
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Cross AI Tools

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Cs Note

liuzhengdongfortest/codestable
717 installs890 stars
Summary

This is the disciplined counterpart to cs-learn and cs-trick. It appends one-line project facts to a fixed section in `.codestable/attention.md`, the file that CodeStable skills read on startup. The three-part filter is smart: length (one or two lines), frequency (needed almost every session), and stability (long-term constraints, not temporary workarounds). Typical entries are "run `pnpm gen` before build" or "don't use npm, project uses yarn berry." It won't let you bloat the file with background or multi-step guides, enforces a fixed set of subsections like "Build," "Environment Variables," and "Path Conventions," and checks for duplicates before writing. The 150-line soft cap keeps attention.md from becoming another junk drawer. One note per invocation, no batch writing.

Install to Claude Code

npx -y skills add liuzhengdongfortest/codestable --skill cs-note --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Files
SKILL.mdView on GitHub

cs-note

启动必读

开始任何判断或动作前,先检查 .codestable/attention.md:存在就读取;缺 .codestable/ 就提示先运行 cs-onboard;只有 attention.md 缺失时,本技能可以先创建固定分节骨架再写入。不要回退到外部 AI 入口文件。

cs-learn / cs-trick / cs-decide 产出独立 markdown 文件,通过检索被读到;.codestable/attention.md 是 CodeStable 技能启动时的强制必读上下文。这两类信息归宿不同——本技能专管后者:把"短、稳、每次都要知道"的碎片追加到 attention 文件里。

不替代沉淀类技能,是补一个之前缺的入口。


什么进 cs-note,什么不进

判据:长度 + 频次 + 稳定度——三条都过才走 cs-note。

项进 cs-note走别处
长度一两行能讲清超过半屏 / 需要展开背景 → cs-learn
频次几乎每次会话都用得上只在某类具体任务相关 → cs-trick
稳定度项目长期生效的硬约束临时绕过 / 短期 workaround → 写到 issue spec 或 feature spec
拍板状态已既成事实(不需要决策记录)需要记选型理由 / 拒方案 → cs-decide

✅ 典型该进:

  • "编译要先 pnpm run gen 生成 schema"
  • "本地起服务前必须 docker compose up redis"
  • "项目用 yarn berry,别用 npm install"
  • "测试命令是 bun test,不是 npm test"
  • "src/legacy/ 是历史代码,改之前先问"
  • "OPENAI_KEY 走 1Password,别从 .env.example 复制"

❌ 典型不该进(会让 attention.md 膨胀):

  • 某个 bug 的修法(→ cs-learn pitfall)
  • 某个库怎么用(→ cs-trick library)
  • 一段架构说明(→ .codestable/architecture/)
  • "本周在做 X"这种短期状态(→ 别记,会过期)
  • 需要 3 行以上才讲清的(→ cs-learn knowledge)

判不准就反问用户一句:"这条以后是不是每次会话都要让 AI 知道?"答"不一定" → 不是 cs-note。


目标文件

目标文件固定为 .codestable/attention.md。不再兼容 AGENTS.md / CLAUDE.md / .cursorrules 等外部 AI 工具入口。

  • .codestable/ 不存在 → 本仓库还没接入 CodeStable,先提示用户运行 cs-onboard
  • .codestable/attention.md 不存在 → 视为骨架缺失,先创建最小骨架再写入
  • AGENTS.md / CLAUDE.md 即使存在也不读取、不写入、不询问用户偏好

attention.md 是 CodeStable 自己的启动注意事项入口,价值来自所有 CodeStable 技能都明确要求读取它,而不是依赖外部工具的自动注入。


固定分节结构

为了防止文件膨胀成另一个胖文件,分节写死一组(不在列表里的不开新节):

## 项目碎片知识

<!-- cs-note managed: 用 cs-note 维护,新条目按下面分节追加 -->

### 编译与构建

### 运行与本地起服务

### 测试

### 命令与脚本陷阱

### 路径与目录约定

### 环境变量与凭证

### 其他

规则:

  • 新条目去对应分节末尾追加,每条一行(最多两行)
  • 没有合适的分节 → 进"其他"。"其他"超过 5 条就停下来和用户讨论是否新增固定分节(不要默默加节)
  • 分节为空时整段保留,不删(让 AI 看到这一节是有意义的)
  • 注释行 <!-- cs-note managed --> 是本技能的识别锚——找不到就在文件末尾插入整块结构
  • 整段长度软上限 ~150 行——超过提示用户:"碎片知识太多了,挑几条沉到 cs-learn / cs-decide 里?"

流程

1. 判定该不该进

按上面"判据"表对一遍。任一项不过 → 引导到对应别的技能,本轮结束。

2. 确认 attention 文件

检查 .codestable/attention.md。缺 .codestable/ 就停止并提示先 cs-onboard;只缺 attention.md 就创建本技能的固定分节骨架。

3. 找位置:分节归类 + 查重

  • 读 .codestable/attention.md,找 <!-- cs-note managed --> 锚定位
  • 找不到锚 → 在文件末尾追加整块"项目碎片知识"骨架
  • 在"项目碎片知识"段内 grep 关键词查重——已有相似条目时不另起一条,问用户"是更新已有那条还是确实是另一条"
  • 选好分节,没有合适分节进"其他"

4. 写一条进去

每条格式:

- {一句话事实 + 必要时一句话原因}

例:

- 编译前要先 `pnpm run gen`,否则 schema 类型对不上
- 别用 `npm install`,项目锁文件是 yarn berry 的
- src/legacy/ 是 2023 前的老代码,改之前先和 @ldz 确认

写完用户 review 一句确认就退出。不主动连写多条——一次一条,避免顺手把没拍板的也塞进去。

5. 触发软上限检查

写完看一眼"项目碎片知识"段总行数:

  • ≥150 行 → 提示用户挑几条沉到 cs-learn / cs-decide
  • "其他"分节 ≥5 条 → 提示用户讨论是否新增固定分节

只是提示,不替用户决定。


主动推荐时机

不要每次都问。只在两个明确信号触发时推一句:

  1. 用户在对话中说出明显属于碎片知识的事实——"哦对这个项目要先 X 才能 Y"、"我们这个用 Z 不用 W"——推:"这条要不要 cs-note 一下?以后 AI 每次都能看到。"
  2. AI 自己刚踩了一个一句话能讲清的项目特殊设置(编译失败 / 命令不对 / 路径找错)——修复后推:"这个坑是项目通用的吗?是的话 cs-note 记一笔,下次会话直接知道。"

用户说"不用了"立刻跳过,不重复推。


容易踩的坑

  • 把详细背景 / 多步骤指南塞进 attention.md——超过两行就该走 cs-learn
  • 写到 AGENTS.md / CLAUDE.md——CodeStable 不再兼容这些外部入口
  • 默默新增分节——分节是写死的,新增要先和用户讨论
  • 看到一条就连带把其他几条也写进去——一次一条
  • 写"短期状态"(本周在做 X / 这个 sprint 的目标)——会过期但没人删,慢慢变误导
  • 不查重就追加——同一条事实被记 3 次后 AI 反而搞不清哪条是准的
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
First SeenJun 3, 2026
View on GitHub

Recommended

caveman

juliusbrussee/caveman

Ultra-compressed communication mode cutting token usage ~75% while preserving technical accuracy.
203.4k
67.8k
grill-me

mattpocock/skills

Relentless interviewing skill that stress-tests plans and designs through systematic questioning.
250.9k
114.5k
improve

shadcn/improve

Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for other models/agents to execute.
10
205
systematic-debugging

obra/superpowers

Structured debugging methodology that mandates root cause investigation before attempting any fixes.
124.6k
215.9k
karpathy-guidelines

forrestchang/andrej-karpathy-skills

Behavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.
13.9k
165.4k
find-skills

vercel-labs/skills

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities.
1.8M
21.1k