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performance-diagnostic

Diagnose page load performance issues.

Skill by lucaspretti

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/lucaspretti-performance-diagnostic

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About

Diagnose page load performance issues. Use when the user asks about slow pages, load times, performance problems, or wants to understand why a site is slow.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/performance-diagnostic

What's inside

Skill name
performance-diagnostic
Description
Diagnose page load performance issues. Use when the user asks about slow pages, load times, performance problems, or wants to understand why a site is slow.
License
MIT
Instructions
58 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Performance Diagnostic

Analyze page load performance for a Matomo-tracked site.

## Site selection

If $ARGUMENTS contains a site ID or name, use that. If the conversation already has a site in context, use that. Otherwise, call `matomo_list_sites`, present a short numbered list (ID, name, URL), and ask which site to analyze. Do not proceed until a site is selected.

## Steps

1. **Get overall performance** using `matomo_get_page_performance` for the requested period (default: last 7 days, period: day, date: last7)

2. **Identify slow pages** using `matomo_get_top_pages` with limit 20 for the same period. Sort by `avg_page_load_time` to find the slowest pages.

3. **Check device impact** using `matomo_get_devices` to see if performance varies by device type.

4. **Check browser impact** using `matomo_get_browsers` to see if specific browsers are slower.

5. **Mobile-specific drill-down** when the user mentions "mobile", "phone", or "slow on phone": rerun steps 1 and 2 with `device: "mobile"` to get the mobile-only numbers, then compare against the all-devices baseline. Flag any page where mobile is significantly slower than desktop.

6. **Present findings** as a summary:
   - Overall avg load time and breakdown (network, server, DOM processing, DOM completion)
   - Top 5 slowest pages with their load times
   - Device/browser breakdown if significant differences exist
   - Mobile vs desktop delta if a mobile drill-down was run
   - Identify the bottleneck: is it network, server, or client-side (DOM)?

If $ARGUMENTS contains a specific URL or page path, focus the analysis on that page.

## Fallback when segments return zero

If a `device`-filtered call comes back with all-zero metrics while the same
query without `device` returns normal numbers, the Matomo server is refusing
to aggregate the segment for this API token (it lacks `process_new_segment`
or the segment isn't pre-archived). Do not claim "no mobile traffic" — that's
almost never the real answer.

Try these in order:

1. **Switch to `matomo_count_visits_by_segment`.** It uses the Live API
   under the hood and does NOT need segment archiving. For mobile:
   `{siteId, period, date, device: "mobile"}` returns
   `{visits, byDevice, byCountryTop10}`. Slower than aggregate endpoints for
   very large result sets, but always returns real numbers.
2. **Check `matomo_list_segments`** to find saved segments on the instance.
   Any segment with `auto_archive=1` is pre-archived and will always return
   real numbers when you reference its `definition` string in `segment`.
3. **Open the Matomo UI in a logged-in browser session** as a last resort
   — the UI uses the user's permissions, not the token:
   ```
   <matomo-host>/index.php?module=CoreHome&action=index
     &idSite=<id>&period=<period>&date=<date>
     &segment=deviceType%3D%3Dsmartphone%2CdeviceType%3D%3Dtablet%2CdeviceType%3D%3Dphablet
   ```
4. **Longer-term fix**: ask the Matomo admin to grant
   `process_new_segment` on the token or pre-archive common segments.

From lucaspretti/matomo-mcp-client, MIT.

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Last commit (this folder)
Apr 24, 2026 (6 months ago)
Last release
Oct 6, 2026 (24 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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performance-diagnostic skill. Agent Mart. https://agentmart.dev/skills/lucaspretti-performance-diagnostic (last updated 2026-10-24)