Individual skill
seo-traffic-drop
Diagnose a traffic or ranking loss before fixing anything. Input: Search Console exports from a healthy period and a damaged one, plus what changed on the site. Output: whether the drop is real or a reporting artifact, the exact date and shape of the loss (visibility, ranking, click-through, demand), the pages and queries carrying it, a differential diagnosis with the test that confirms each cause, and the handoff to the skill that fixes it. Bundled zero-dependency script compares two exports and dates the drop. Use when traffic fell, rankings dropped, impressions or clicks collapsed, a core update landed, pages got deindexed, a migration or redesign went wrong, or a client asks what happened.
skills/seo-traffic-drop/SKILL.md
Source commit a05ae4048445c9e39adfea27945de29db0499d31
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 18
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-search Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- ecommerce-seo Repository topic
- generative-engine-optimization Repository topic
- geo Repository topic
- link-building Repository topic
- llm-seo Repository topic
- seo Repository topic
- social-media-marketing Repository topic
- marketing Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 22,767 bytesSKILL.mdcore · 22,767 bytesevals/evals.jsonasset · 4,731 bytesreferences/drop-patterns.mddoc · 8,569 bytesreferences/investigation-protocol.mddoc · 6,287 bytesscripts/content_decay.pyruns · 10,263 bytesscripts/gsc_diff.pyruns · 25,207 bytes
Read excerpt
# Traffic drop: find what changed before changing anything
A drop is a diagnostic problem, not a content problem. The failure mode of this work is not missing the cause, it is acting on the first plausible one: a core update landed near the date, so the team rewrites 40 articles, while the actual cause was a `noindex` shipped in a template on the same week. The rewrite then hides the evidence.
So the order is fixed. Confirm the loss is real, date it, shape it, name the candidate causes, confirm one with a test that could have failed, and only then fix. Every step below produces evidence someone else can check.
## Company knowledge first (Obsidian)
If the working environment contains an Obsidian vault or any local knowledge base (a folder of .md notes, often with a .obsidian directory), read the relevant notes before acting: the SEO action log (what was shipped and when), past incidents, the site's seasonality, migrations, and known technical debt. The action log is the highest-value note in a drop investigation, because it answers "what changed" without waiting for the client. At the end of the session, append the diagnosis, the evidence and the remediation to that log so the next incident starts with a history.
## When to use this skill
Use it for: