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wp-performance工作性能

Agent Skill

wp-performance 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

34,272

周安装

1,411

GitHub Stars

1,403

下载量

11,088
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:wp-performance(工作性能)
来源仓库:https://github.com/wordpress/agent-skills
仓库路径:skills/wp-performance
安装命令:
npx skills add https://github.com/wordpress/agent-skills --skill wp-performance
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wordpress/agent-skills --skill wp-performance

简介

使用 WP-CLI、查询监视器和目标诊断进行仅后端 WordPress 性能分析和优化。

  • 通过 WP-CLI doctor/profile 命令、服务器计时标头和查询监视器 REST API 集成检测和测量性能瓶颈,无需浏览器访问
  • 涵盖五个优化类别:数据库查询减少、自动加载选项清理、对象缓存配置、cron 任务优化和远程 HTTP 调用管理
  • 包括安全验证工作流程,可比较基线与修复后的测量结果,并根据日志和医生检查验证更改
  • 针对 WordPress 6.9+ 和 PHP 7.2.24+;尊重环境限制(dev/staging/prod),并且在写入操作之前需要明确批准

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

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

31.63%
按下载量换算3,507

Claude

30.4%
按下载量换算3,371

Cursor

18.86%
按下载量换算2,091

Gemini CLI

9.34%
按下载量换算1,036

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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