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.
npx skills add https://github.com/Automattic/agent-skills --skill wp-performance
Use this skill when:
This skill assumes the agent cannot use a browser UI. Prefer WP-CLI, logs, and HTTP requests.
--path=<path>--url=<url>curl if possibleRead:
references/measurement.mdRun:
node skills/wp-performance/scripts/perf_inspect.mjs --path=<path> [--url=<url>]This detects:
wp doctor / wp profile are availableIf you have WP-CLI access, prefer:
wp doctor checkIt catches common production foot-guns (autoload bloat, SAVEQUERIES/WP_DEBUG, plugin counts, updates).
Read:
references/wp-cli-doctor.mdPreferred order:
wp profile stage to see where time goes (bootstrap/main_query/template).wp profile hook (optionally with --url=) to find slow hooks/callbacks.wp profile eval for targeted code paths.Read:
references/wp-cli-profile.mdQuery Monitor is normally UI-driven, but it can be used headlessly via REST API response headers and _envelope responses:
x-qm-*) and/or the qm property when using ?_envelope.Read:
references/query-monitor-headless.mdUse the profile output to pick *one* primary bottleneck category:
references/database.mdreferences/autoload-options.mdreferences/object-cache.mdreferences/http-api.mdreferences/cron.mdwp profile / wp doctor / REST request.Be aware of these 6.9 changes when profiling:
On-demand CSS for classic themes:
Block themes with no render-blocking resources:
Inline CSS limit increased:
Reference: https://make.wordpress.org/core/2025/11/18/wordpress-6-9-frontend-performance-field-guide/
wp doctor check is clean (or improved) when applicable.--url mismatch), caches masked results, or opcode cache is staleSAVEQUERIES/Query Monitor causes overhead:SAVEQUERIES, run load tests, or flush caches during trafficUnified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Take automattic/wp-performance from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.