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diagnostics
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Technical Diagnostics Toolkit Skill
技术诊断工具包Skill
When to Use
使用场景
Investigating crawl/index anomalies, traffic drops, or Core Web Vitals regressions.
Running scheduled audits ahead of major launches or migrations.
Validating fixes before/after engineering deployments.
排查抓取/索引异常、流量下降或Core Web Vitals性能倒退问题。
在重大发布或迁移前运行定期审计。
在工程部署前后验证修复效果。
Framework
框架
Signal Triangulation
– combine Search Console, log files, crawler output, and analytics deltas.
Replication Scripts
– document steps to reproduce issues (user agents, locales, device types).
Root Cause Hypotheses
– map symptoms to likely causes (render blocking, redirects, robots, schema errors).
Fix Design
– outline remediation options, risk level, dependencies, and testing approach.
Validation & Monitoring
– specify metrics and alerts to confirm resolution.
信号三角验证
—— 整合Search Console、日志文件、爬虫输出和分析数据差异。
复现脚本
—— 记录重现问题的步骤(用户代理、区域设置、设备类型)。
根本原因假设
—— 将症状映射到可能的原因(渲染阻塞、重定向、robots协议、Schema错误)。
修复方案设计
—— 概述修复选项、风险等级、依赖项和测试方法。
验证与监控
—— 指定用于确认问题解决的指标和告警机制。
Templates
模板
Diagnostics worksheet (symptom, evidence, hypothesis, owner, next action).
Crawl + render checklist per environment.
Validation log capturing metrics pre/post change.
诊断工作表(症状、证据、假设、负责人、下一步行动)。
各环境下的抓取+渲染检查清单。
记录变更前后指标的验证日志。
Tips
提示
Keep historical baselines to quickly detect regressions.
Pair with engineering release notes to correlate incidents.
Automate recurring crawls and lighthouse runs to catch issues early.
保留历史基准线,以便快速检测性能倒退。
与工程发布说明配对,关联事件原因。
自动化定期抓取和Lighthouse运行,提前发现问题。