agentsclimarketplace

Wp performance

Skill bg-szy/TOP-SKILLS/skills/marketplace/wp-performance

全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能,提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard

Install
npx -y skills add bg-szy/TOP-SKILLS --skill wp-performance

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

5.7 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

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

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 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.

What ships with it: 1 file

48.1 KB alongside SKILL.md

Gives 0 of the 12 instructions most performance cost skills give in ~1.3k tokens

Counted across 803 of the 1,058 authors here whose files we hold, read 2026-08-07

  • keep skill files under 500 linesin 82 of 803, across 16 files
  • use imperative form in instructionsin 80 of 803, across 9 files
  • draft assertions while test runs are in progressin 75 of 803, across 9 files
  • create two to three realistic test promptsin 74 of 803, across 9 files
  • write skill descriptions to be pushyin 72 of 803, across 7 files
  • save test cases to evals jsonin 72 of 803, across 6 files
  • ask questions about edge cases and input formatsin 72 of 803, across 7 files
  • save timing data immediately when runs completein 70 of 803, across 5 files
  • include all trigger conditions in the skill descriptionin 69 of 803, across 3 files
  • launch all test runs in a single turnin 69 of 803, across 3 files
  • capture intent before writing a skillin 67 of 803, across 1 file
  • import directly instead of barrel filesin 52 of 803, across 15 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.