ai-observabilityAI 应用可观测性与生产监控实操手册——AI 进生产后的"仪表盘与探照灯"：可观测性全景（三大支柱：日志/指标/追踪 + AI 特有观测对象）、调用追踪与日志规范（LLM 调用追踪、Span 设计、会话级追踪、敏感信息过滤）、质量监控指标（幻觉率/拒答率/满意度/转人工率实时看板）、性能与成本监控（延迟/吞吐/Token 成本实时追踪）、护栏与安全监控（护栏命中率/注入检测/敏感数据泄漏监控）、告警体系（分级告警/阈值设计/通知路由/告警疲劳治理）、监控平台与落地（埋点规范/工具选型/灰度期监控）。附零依赖本地工具一键出三大支柱清单、监控指标表、告警设计、追踪规范与落地路线。面向 AI 平台、SRE、运维与质量负责人——与 LLM 评测（离线质量）互补，本技能管线上运行质量。
Install via ClawdBot CLI:
clawdbot install zhaoxinghua09-cell/ai-observabilityLoading skill content… the page will refresh in a moment.
Usage Guide
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Firecrawl CLI for web scraping, crawling, and search. Scrape single pages or entire websites, map site URLs, and search the web with full content extraction. Returns clean markdown optimized for LLM context. Use for research, documentation extraction, competitive intelligence, and content monitoring.
Incident Commander Skill
Monitors OpenClaw cron job health, identifies failures, timeouts, and delivery issues.
Observability Designer (POWERFUL)
Use when defining SLIs/SLOs, managing error budgets, or building reliable systems at scale. Invoke for incident management, chaos engineering, toil reduction, capacity planning.
QQ bot integration for OpenClaw with session isolation, logging, and AI auto-reply. Supports private chat and group @messages.