midudev/autoskills/wp-performance

Claude Code and agent skill by midudev/autoskills

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Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.

Install

npx vskill@latest install midudev/autoskills/wp-performance

SKILL.md

WP Performance (backend-only)

When to use

Use this skill when:

  • a WordPress site/page/endpoint is slow (frontend TTFB, admin, REST, WP-Cron)
  • you need a profiling plan and tooling recommendations (WP-CLI profile/doctor, Query Monitor, Xdebug/XHProf, APMs)
  • you’re optimizing DB queries, autoloaded options, object caching, cron tasks, or remote HTTP calls

This skill assumes the agent cannot use a browser UI. Prefer WP-CLI, logs, and HTTP requests.

Inputs required

  • Environment and safety: dev/staging/prod, any restrictions (no writes, no plugin installs).
  • How to target the install:
  • WP root --path=<path>
  • (multisite/site targeting) --url=<url>
  • The performance symptom and scope:
  • which URL/REST route/admin screen
  • when it happens (always vs sporadic; logged-in vs logged-out)

Procedure

0) Guardrails: measure first, avoid risky ops
  1. Confirm whether you may run write operations (plugin installs, config changes, cache flush).
  2. Pick a reproducible target (URL or REST route) and capture a baseline:
  • TTFB/time with curl if possible
  • WP-CLI profiling if available

Read:

  • references/measurement.md
1) Generate a backend-only performance report (deterministic)

Run:

  • node skills/wp-performance/scripts/perf_inspect.mjs --path=<path> [--url=<url>]

This detects:

  • WP-CLI availability and core version
  • whether wp doctor / wp profile are available
  • autoloaded options size (if possible)
  • object-cache drop-in presence
2) Fast wins: run diagnostics before deep profiling

If you have WP-CLI access, prefer:

  • wp doctor check --all (add --spotlight to show only warnings and errors)
  • or name the checks for a perf-focused run: wp doctor check autoload-options-size constant-savequeries-falsy constant-wp-debug-falsy

wp doctor check with no check names and no --all exits with an error instead of running anything.

It catches common production foot-guns (autoload bloat, SAVEQUERIES/WP_DEBUG, plugin counts, updates).

Read:

  • references/wp-cli-doctor.md
3) Deep profiling (no browser required)

Preferred order:

  1. wp profile stage to see where time goes (bootstrap/main_query/template).
  2. wp profile hook (optionally with --url=) to find slow hooks/callbacks.
  3. wp profile eval for targeted code paths.

Read:

  • references/wp-cli-profile.md
4) Query Monitor (backend-only usage)

Query Monitor is normally UI-driven, but it can be used headlessly via REST API response headers and _envelope responses:

  • Authenticate (nonce or Application Password).
  • Request REST responses and inspect headers (x-qm-*) and/or the qm property when using ?_envelope.

Read:

  • references/query-monitor-headless.md
5) Fix by category (choose the dominant bottleneck)

Use the profile output to pick one primary bottleneck category:

  • DB queries → reduce query count, fix N+1 patterns, improve indexes, avoid expensive meta queries.
  • references/database.md
  • Autoloaded options → identify the biggest autoloaded options and stop autoloading large blobs.
  • references/autoload-options.md
  • Object cache misses → introduce caching or fix cache key/group usage; add persistent object cache where appropriate.
  • references/object-cache.md
  • Remote HTTP calls → add timeouts, caching, batching; avoid calling remote APIs on every request.
  • references/http-api.md
  • Cron → reduce due-now spikes, de-duplicate events, move heavy tasks out of request paths.
  • references/cron.md
6) Verify (repeat the same measurement)
  • Re-run the same wp profile / wp doctor / REST request.
  • Confirm the performance delta and that behavior is unchanged.
  • If the fix is risky, ship behind a feature flag or staged rollout when possible.

WordPress 6.9 performance improvements

Be aware of these 6.9 changes when profiling:

On-demand CSS for classic themes:

  • Classic themes now get on-demand CSS loading (previously only block themes had this).
  • Reduces CSS payload by 30-65% by only loading styles for blocks actually used on the page.
  • If you're profiling a classic theme, this should already be helping.

Block themes with no render-blocking resources:

  • Block themes that don't define custom stylesheets (like Twenty Twenty-Three/Four) can now load with zero render-blocking CSS.
  • Styles come from global styles (theme.json) and separate block styles, all inlined.
  • This significantly improves LCP (Largest Contentful Paint).

Inline CSS limit increased:

  • The threshold for inlining small stylesheets has been raised, reducing render-blocking resources.

Reference: https://make.wordpress.org/core/2025/11/18/wordpress-6-9-frontend-performance-field-guide/

Verification

  • Baseline vs after numbers are captured (same environment, same URL/route).
  • wp doctor check --all is clean (or improved) when applicable.
  • No new PHP errors or warnings in logs.
  • No cache flush is required for correctness (cache flush should be last resort).

Failure modes / debugging

  • “No change” after code changes:
  • you measured a different URL/site (--url mismatch), caches masked results, or opcode cache is stale
  • Profiling data is noisy:
  • eliminate background tasks, test with warmed caches, run multiple samples
  • SAVEQUERIES/Query Monitor causes overhead:
  • don’t run in production unless explicitly approved

Escalation

  • If this is production and you don’t have explicit approval, do not:
  • install plugins, enable SAVEQUERIES, run load tests, or flush caches during traffic
  • If you need system-level profiling (APM, PHP profiler extensions), coordinate with ops/hosting.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

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