wordpress/agent-skills

wp-performance

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…

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/wordpress/agent-skills --skill wp-performance

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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.

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