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Traffic Insight
Analyze CSV or pasted traffic reports to identify SEO opportunities and high-risk pages locally.
$5
Works with the AI tools you already use
Traffic Insight
Example session with this skill installed
Analyze this traffic data from my report.csv: /home/pages/blog-post-1, 5000 visits, pos 12, ctr 1.2%. /home/pricing, 1200 visits, pos 3, ctr 8.5%. /home/docs, 800 visits, pos 15, ctr 0.5%.
- Read your context and instructions
- Compiled the traffic insight
- Generated the document
I have processed the traffic data for the 3 entries provided in your report. The analysis highlights a significant volume opportunity for your blog content despite its current low ranking.
Traffic Performance Analysis
| Page Path | Visits | Avg. Position | CTR | Status |
|---|---|---|---|---|
| /home/pages/blog-post-1 | 5,000 | 12.0 | 1.2% | Easy Win |
| /home/pricing | 1,200 | 3.0 | 8.5% | High Performer |
| /home/docs | 800 | 15.0 | 0.5% | Underperforming |
Key Insights
Easy Win Detected: /home/pages/blog-post-1 has the highest traffic volume (5,000 visits) but sits on the second page of results (position 12). Improving this ranking could exponentially increase sessions.
Conversion Anchor: The /home/pricing page shows strong intent with an 8.5% CTR, maintaining a solid top-3 position.
Risk Flag: /home/docs has negligible engagement (0.5% CTR) and poor visibility. It requires a metadata overhaul or content refresh.
Opportunities List
- Blog Post 1: Move from position 12 to top 5. Priority: High.
- Pricing: Maintain current rank; monitor for competitors. Priority: Medium.
- Docs: Investigate low CTR; test new titles/descriptions. Priority: Low.
Next steps
- Review the internal linking structure for
blog-post-1to boost its authority. - Audit the meta description for
docsto address the 0.5% CTR. - Save this output as a markdown file for your weekly SEO sync.
traffic-insight.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Manual analysis of traffic exports is slow and prone to oversight. Sifting through CSVs to find specific growth opportunities or high-risk pages usually requires complex spreadsheet formulas or expensive SaaS tools.
What it does
- Parses raw traffic tables or CSV files to calculate total volume and session distribution.
- Identifies "easy wins" by flagging high-volume keywords with poor search rankings.
- Surfaces "risk flags" for pages with declining engagement or low click-through rates.
- Generates ranked performance tables for both landing pages and search queries.
Frameworks & tools
Standard library Python. Designed for local execution with no external API dependencies or library installations required.
Why this beats prompting it yourself
General-purpose LLMs often struggle with consistent tabular data extraction and mathematical ranking without specific instructions. This skill enforces a strict analytical framework that ensures every insight is derived directly from your provided numbers without hallucinating trends.
Use cases
- Auditing Search Console exports to find low-hanging SEO fruit.
- Analyzing monthly traffic reports to identify pages losing search visibility.
- Summarizing landing page performance for stakeholder reports.
Known limitations
Does not support live data fetching from external APIs like Google Search Console or Ahrefs. Requires manual CSV export or text pasting.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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