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Found 31 Skills
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".
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.
Database operations: migrations, queries, transactions, and performance. Use when: - Writing database migrations - Optimizing queries or adding indexes - Managing transactions and connections - Setting up connection pooling - Designing audit logging Keywords: database, migration, SQL, query optimization, index, transaction, connection pool, N+1, ORM, audit log
Network programming patterns with Hyper, Tonic, and Tower. Use when building HTTP services, gRPC applications, implementing middleware, connection pooling, or health checks.
Advanced database performance tuning including query optimization, indexing strategies, partitioning, and scaling patterns
MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.
Connection pooling and caching for PostgreSQL and MySQL databases. Load when connecting Workers to existing Postgres/MySQL, reducing connection overhead, using Drizzle/Prisma with external databases, or migrating traditional database apps to the edge.