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Found 433 Skills
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.
PostgreSQL + Redis database design patterns. Use for data modeling, indexing, caching strategies. Covers JSONB, tiered storage, cache consistency.
Zoho Books and Zoho Inventory API integration for TSH Clients Console. Use when: (1) Creating new API routes that call Zoho endpoints (2) Debugging API errors, token issues, or rate limits (3) Adding new Zoho data fetching functions (4) Understanding OAuth token caching with Upstash Redis (5) Working with products, orders, invoices, payments, or credit notes (6) Troubleshooting "Contact for price" or stock display issues
Use when building an LLM-powered app that needs cost control via model routing, budget tracking, retry, and prompt caching.
HTTP Networking with Dio, Retry & Caching Patterns
TanStack Query v5 (React Query) server state management. Use for data fetching, caching, mutations, or encountering v4 migration, stale data, invalidation errors.
Redis expert. Caching strategies, session storage, rate limiting, pub/sub. Use for caching implementation and Redis configuration.
JavaScript micro-optimizations and performance patterns. Use when optimizing loops, array operations, caching, or DOM manipulation. Includes Set/Map usage, early returns, and memory-efficient patterns.
Use the nasdaq_quote tool to fetch a US equity quote (free; delayed) with lightweight caching and latency metadata.
Optimizes API performance through payload reduction, caching strategies, and compression techniques. Use when improving API response times, reducing bandwidth usage, or implementing efficient caching.
Optimize Fireflies.ai API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Fireflies.ai integrations. Trigger with phrases like "fireflies performance", "optimize fireflies", "fireflies latency", "fireflies caching", "fireflies slow", "fireflies batch".