observability

仓库创建 2026年6月30日最近提交 22 天前SkillHot 收录 22 天前

▸ 精选理由

适合为新服务搭建或审计可观测性并减少盲点與误报。

▸ 风险提示

可能建议收集日志与指标，请注意避免采集敏感个人数据。

这个 Skill 做什么

覆盖日志、指标、分布式追踪、告警与 SLO 的设计、审计与优化实践。

覆盖日志、metrics、分布式追踪、告警、SLO 与看板的设计与审计，帮你补盲点、优化告警噪音并把关键业务事件变成可观测的指标。用于新服务上线、事故根因调查或 readiness 审核，既关注技术实现也给出可量化的 SLO/告警建议。特别负责指标基数（cardinality）等实践，避免监控系统被数据撑爆。

▸ 展开 SKILL.md 英文原文

Use when adding or auditing logging, metrics, distributed tracing, alerting, SLOs, or dashboards — new services, incident blind spots, readiness review.

开发编程监控追踪SLO通用

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安装 / 使用

给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/muxammadmamajonov/dot-claude/main/.claude/skills/observability/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/muxammadmamajonov/dot-claude/main/.claude/skills/observability/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Observability: Logs, Metrics, Traces, Alerts & SLOs

**Scope: system health, metrics, logs, traces, SLOs. Product/business events → `.claude/skills/analytics/SKILL.md`.** This skill is the single owner of metric-cardinality guidance (see Phase 4).

## When to use
- Standing up observability for a new service, environment, or project type (backend API, worker, agent, mobile app, data pipeline).
- Adding structured logging, a metrics layer, or distributed tracing to an existing service.
- Defining SLOs and configuring alerts that fire on user impact, not noise.
- Responding to an incident where the root cause was invisible (blind-spot remediation).
- Running the production-readiness gate: ve

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