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Found 416 Skills
Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications.
Cloudflare Workers KV global key-value storage. Use for namespaces, caching, TTL, or encountering KV_ERROR, 429 rate limits, consistency issues.
MUST activate when a uiBundles/*/src/ project does ANY Salesforce record operation — reading, creating, updating, deleting, or caching/refreshing query results. Triggers: code importing @salesforce/platform-sdk, calls to sdk.graphql.query / sdk.graphql.mutate / sdk.fetch, *.graphql files, stale data needing a force-refresh, or wiring up a UI bundle's data layer to read, write, or refresh Salesforce records. The default for new read/write work is the Read/Write workflow with the current @salesforce/platform-sdk API; only follow the migration path when EXISTING code already uses the old @salesforce/sdk-data callable form. Not for building app shell/UI, styling, file upload, or auth/search scaffolding — use the other ui-bundle-* skills. DO NOT TRIGGER when: OAuth setup, schema changes, Bulk/Tooling/Metadata API, or declarative automation.
Optimizes API performance through payload reduction, caching strategies, and compression techniques. Use when improving API response times, reducing bandwidth usage, or implementing efficient caching.
TanStack Query v5 (React Query) server state management. Use for data fetching, caching, mutations, or encountering v4 migration, stale data, invalidation errors.
Implement a permanent cache-first strategy: check cache before hitting the DB, write to cache on first read, invalidate only when data changes. No TTL timeouts. Modeled on Play Framework's cache model. Use when asked to "add caching", "implement cache strategy", "cache DB results", or "reduce DB load".
Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.
Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.
Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.
Use this skill when designing distributed systems, architecting scalable services, preparing for system design interviews, or making infrastructure decisions. Triggers on load balancing, CAP theorem, sharding, replication, caching strategies, message queues, microservices architecture, database selection, rate limiting, and any task requiring high-level system architecture decisions.
Apply when defining service.json routes, choosing public vs segment vs private URL prefixes for VTEX IO services, or setting HTTP cache headers that interact with the VTEX edge and CDN. Covers path patterns, cookie visibility, edge caching behavior, and aligning Cache-Control with data sensitivity. Use for Node or .NET IO backends where request path and response headers determine CDN safety.
Apply when improving VTEX IO Node or .NET services for latency, throughput, and resilience: in-process LRU, VBase, stale-while-revalidate, AppSettings loading, request context, parallel client calls, and avoiding duplicate work. Covers application-level performance patterns that complement edge/CDN caching. Use when optimizing backends beyond route-level Cache-Control.