Total 50,652 skills, Backend Development has 4147 skills
Showing 12 of 4147 skills
Use when the user wants to build a Python Kafka producer or consumer, add Schema Registry to existing Python code, migrate from raw JSON to schema-backed serialization, or scaffold a confluent-kafka-python project for Confluent Cloud, local Docker, or WarpStream. Also use when user wants to optimize Python Kafka client configuration for WarpStream.
Configure worker RBAC, filtered discovery, FORBIDDEN errors, registration hooks, auth functions, and safe browser/public worker-manager listeners in iii. Use when configuring permissions, tenant isolation, exposed functions, browser-safe worker access, or denied invocation behavior.
Design an order management system that routes orders to the right warehouse, handles split shipments, and manages backorders gracefully
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.
DataStores, ProfileStore, session locking, data persistence patterns.
Debugs a failing production call, reproduces the bug with Cekura evaluators, implements a fix, verifies it, runs regression tests, then raises a PR with evidence. Use when the user wants to fix a production call bug, investigate a failing prod call, reproduce and fix a production issue, run regression tests before a PR, or says things like "fix this prod call issue", "debug and fix call ID", "test my fix against prod scenarios", "reproduce this production bug", or "regression test before raising PR".
Write an API versioning strategy document for a service or API platform. Use when asked to define versioning policy, plan API deprecation, classify breaking changes, or document version lifecycle. Produces a complete versioning strategy with breaking-change classification table, deprecation timeline, migration guide template, and client communication template.
Use when adding Auth0 token validation to Express or Node.js APIs - integrates express-oauth2-jwt-bearer SDK to protect Node.js API endpoints with JWT Bearer authentication, scope-based RBAC, claim validation, and optional DPoP support
Interact with Jupiter Lend Protocol. Read-only SDK (@jup-ag/lend-read) for querying liquidity pools, lending markets (jlTokens), and vaults. Write SDK (@jup-ag/lend) for lending (deposit/withdraw) and vault operations (deposit collateral, borrow, repay, manage positions).
Use this skill when working with Mass Entity, MassEntity, Mass AI, MassProcessor, MassFragment, MassTag, MassObserver, MassSpawner, MassCrowd, Mass ECS, entity archetype, ForEachEntityChunk, FMassEntityQuery, FMassEntityManager, ISM crowd, or large-scale entity simulation in Unreal Engine. See references/mass-entity-patterns.md for processor and observer templates. See references/mass-fragment-reference.md for built-in fragment types.