
Monitoring (Grade A)安全经过考验的开发能力 - Claude AI, 等级 A. 根据业务流程建立整体监控和告警系统.
概览
主要功能
- 定义指标(请求速率、错误率、延迟、资源利用率)
- 结构化日志(JSON格式,必填字段)
- 跟踪(OpenTelemetry,供应商特定 SDK)
- 仪表盘创建(服务健康、请求速率、错误率、延迟、资源利用率)
- 告警配置(错误率、延迟、CPU、健康检查)
价格
- 模型
- Free
- 分类
- 育言活动
- 评分
- 暂无评价
使用场景
新服务部署
使用此技能对新服务进行综合监控和告警部署.
现有服务优化
使用此技能优化现有服务的监控和告警.
优点 & 缺点
优点
- 全面的监控和告警工作流程
- 结构化日志和跟踪设置
- 可定制的仪表盘和告警
缺点
- 需要手动设置与配置
- 可能需要额外资源来进行跟踪和日志记录
评测
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问答
Why You Should Use This?
| Audience | Key Benefits | | -------------------- | ------------------------------------------------------------------------------------------------- | | Individual | 30%+ token savings, stop repeating standards, security guardrails, instant scaffolding | | Teams | Consistent AI behavior, day‑one onboarding, codified patterns, compounding cost savings | | Organizations | Always‑on compliance, same standards across 1,000 projects, central governance, measurable ROI | ---
Asked by Sami Virtanen · Oct 3, 2025
What You Can Customize?
| Section | What It Controls | Example | | ------------- | -------------------------- | ---------------------------------------------- | | project | Project identity | Name, description, repo URL | | techStack | Language, framework, tools | TypeScript + Express or Python + FastAPI | | paths | Directory structure | Where handlers, services, and common code live | | domain | Business entities | Order, Product, Customer + lifecycle states | | patterns | Code patterns | 7‑step handler flow, error handling strategy | | testing | Quality gates | 90% coverage, test/lint/type‑check commands | | database | DB conventions | Soft delete field, timestamp columns, naming | | packages | Internal packages | @your‑org scope, registry URL | | conventions | Git and workflow | Branch prefixes, commit format, PR templates | ---
Asked by Nils Johansson · Sep 5, 2025
What it detects?
| Category | Signals | | ------------------ | ------------------------------------------------------------------------------------------ | | Language | tsconfig.json, go.mod, Cargo.toml, requirements.txt, pom.xml, file extensions | | Framework | Dependencies in package.json / requirements.txt (React, Express, Django, Spring, etc.) | | Database | ORM configs (prisma/, sequelize, typeorm), .sql files, migration folders | | Testing | jest.config., vitest, pytest, cypress/, playwright.config. | | Infrastructure | Dockerfile, terraform/, cdk.json, serverless.yml, cloud SDK deps | | CI/CD | .github/workflows/, .gitlab-ci.yml, Jenkinsfile | ---
Asked by Gunnar Eriksson · Sep 3, 2025
What's Inside?
| Layer | Count | What It Does | How It's Triggered | | ------------- | ----- | ------------------------------------------------- | ----------------------------------- | | Rules | 47 | Enforces coding standards on every AI interaction | Automatically — always on | | Agents | 62 | Specialized assistants for complex tasks | On demand — /agent-name | | Skills | 50 | Step‑by‑step guided workflows with checklists | Contextually — when patterns match | | Commands | 37 | Lightweight, token‑efficient quick actions | On demand — /command | | Hooks | 12 | Automation scripts in the AI loop | Event‑driven — before/after actions | | Templates | 9 | Scaffolding for handlers, components, tests, etc. | Referenced by skills and agents | ---
Asked by Idris Suleiman · Aug 24, 2025
How It Works?
第一层:预处理-层—项目环境与危险命令注入钩子,确保提示数据到达人工智能之前。第二层:规则引擎—47层恒定规则强制执行令牌效率、安全性、架构、代码标准、数据库约定以及测试门槛。第三层:专门处理层—对提示的响应,激活相应组件,如代理、技能或命令。第四层:后处理层—钩子验证输出、自动调整、密钥扫描、以及覆盖区域检查。
Asked by Grace Okafor · Jul 8, 2025
提问
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