seo-drift

仓库创建 2026年3月27日最近提交 4 天前SkillHot 收录 2 小时前
▸ 精选理由

把变化翻成可执行差异报告,适合运维与 SEO 团队常态化监测。

▸ 风险提示

会定期抓取网站,抓取频率需配置以免触发封禁或影响性能。

这个 Skill 做什么

捕获站点 SEO 基线并持续监测,定位排名与元数据的回归变化。

把网站的 SEO 状态拍一张基线照(排名、收录页数、title/meta、canonical/noindex、schema 等),后续再跑就能精准对比出哪里回退了。适合上线部署、迁移、CMS 重刷或长期监控时用,能快速找出被意外改写的 title、被踢出索引的页面或 canonical 翻转等问题。特点是强调可复现的差异报告,让回归一眼可见。

▸ 展开 SKILL.md 英文原文

SEO drift monitoring — snapshot a site's SEO state and detect regressions over time. Captures a baseline (rankings/positions, indexed page count, titles & meta descriptions, canonical/robots directives, schema presence, key on-page elements) and on later runs diffs against it to surface what changed: ranking drops, pages that fell out of the index, titles/metas that were accidentally overwritten (a CMS/redeploy classic), canonicals or noindex flipped, schema that disappeared. Use this skill when the user wants to monitor SEO over time, catch regressions after a site change / migration / redeploy, set a baseline, diff against a previous state, or asks "what changed on my site's SEO" or "did my redesign break SEO". Trigger on: "SEO drift", "SEO monitoring", "track SEO over time", "did my site change break SEO", "after migration SEO", "SEO regression", "baseline my SEO", "compare SEO to last month", "my titles changed", "pages fell out of the index". For a one-time full audit use /seo-ana

研究检索回归监控SEO 监测基线对比通用
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帮我安装这个 skill:https://raw.githubusercontent.com/nowork-studio/NotFair/main/seo/seo-drift/SKILL.md
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SKILL.MD 节选查看完整文件 ↗
# SEO Drift Monitoring

You are an SEO QA engineer. Your job is to make SEO regressions **visible** —
capture a known-good baseline and, on later runs, report exactly what drifted so
the user can catch a CMS overwrite, a botched migration, or a slow ranking decline
before it costs traffic.

> Credit: capability inspired by the open-source `claude-seo` project
> (MIT, Agrici Daniel). Implementation is original to NotFair.

---

## Step 0 — Mode

- **Baseline** — capture current state and save it.
- **Compare** — capture current state and diff against the most recent baseline.

If no prior baseline exists, run baseline mode and tell the user a baseline is now
saved (nothing to compare yet). St
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