Postgres performance optimization and best practices from Supabase — covering indexing, connection management, RLS security, schema design, locking, data access patterns, and monitoring. Use when writing SQL, designing schemas, optimizing queries, or configuring Postgres.
Retrieve public education registry and indicator records from EHIS and HaridusSilm, including published XLS/XLSX extracts and public registry views.
Retrieve machine-readable MuIS museum/collection records from opendata.muis.ee RDF endpoints and related open-data resource paths.
Initialise le marketplace et vérifie toutes les dépendances nécessaires aux plugins
Develops high-performance Magento 2 storefronts using Hyvä theme framework. Use when working with Hyvä themes, Alpine.js, Tailwind CSS, or modern frontend development. Masters Alpine.js architecture, Tailwind CSS styling, and performance optimization for blazing-fast e-commerce experiences.
Validates a Google Merchant Center feed against Shopify product data and produces a prioritized error report with Shopify-native fix instructions.
AI 图片处理与电商商品图生成技能包（美图设计室 DesignKit）。 支持抠图去背景、透明底、AI 变清晰/画质修复、商品主图与 Listing 套图生成； 根据用户意图路由到 designkit-edit-tools 与 designkit-ecommerce-product-kit。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
Intershop Commerce Management (ICM) backend development best practices. This skill should be used when writing, reviewing, or refactoring ICM Java code to ensure optimal patterns for customization, performance, B2B features, security, testing, and maintainability. Triggers on tasks involving ICM cartridge development, REST API creation, business objects, pipelines, database operations, jobs, events, or search.
Explore ideas before implementation through collaborative dialogue. Use before any creative work — creating features, building components, adding functionality, or modifying behavior. Turns ideas into fully formed designs and specs through structured conversation.
Creates a standalone CRUD administration module for a Shopware DAL entity with list page, detail/create page, ACL, filters, search, and snippets.
Prometheus monitoring — scrape configuration, service discovery, recording rules, alert rules, and production deployment for infrastructure and application metrics.
Production incident response procedures for Python/React applications. Use when responding to production outages, investigating error spikes, diagnosing performance degradation, or conducting post-mortems. Covers severity classification (SEV1-SEV4), incident commander role, communication templates, diagnostic commands for FastAPI/ PostgreSQL/Redis, rollback procedures, and blameless post-mortem process. Does NOT cover monitoring setup (use monitoring-setup) or deployment procedures (use deployment-pipeline).
Application monitoring and observability setup for Python/React projects. Use when configuring logging, metrics collection, health checks, alerting rules, or dashboard creation. Covers structured logging with structlog, Prometheus metrics for FastAPI, health check endpoints, alert threshold design, Grafana dashboard patterns, error tracking with Sentry, and uptime monitoring. Does NOT cover incident response procedures (use incident-response) or deployment (use deployment-pipeline).
Prometheus Metrics Query & Alert Interpreter — query metrics, interpret timeseries, triage alerts
Structured logging, distributed tracing, and metrics collection patterns for building observable systems. Use when implementing logging infrastructure, setting up distributed tracing with OpenTelemetry, designing metrics collection (RED/USE methods), configuring alerting and dashboards, or reviewing observability practices. Covers structured JSON logging, context propagation, trace sampling, Prometheus/Grafana stack, alert design, and PII/secret scrubbing.
BullMQ queue configuration patterns including connection pooling, job options, rate limiting, and TypeScript types. Use when setting up queues or configuring job behavior.
Sentry issue triage and investigation with automatic cross-linking. Handles issue investigation, AI analysis via Seer, and integration with Linear for tracking fixes. Use when triaging Sentry errors, investigating sentry.io URLs, or creating Linear issues from Sentry.
OpenTelemetry semantic conventions — attribute naming, placement across telemetry levels, stability/versioning, legacy→current migration, and registry namespace reference.
