claude

polymath-database

Database performance craft: triage, indexes, IO tuning, Postgres, partitioning/sharding, NoSQL partition design, retention and archiving.

0 on GitHubby Mohammad Bafkarv0.12.0MITupdated 15 days agoperformance
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Plugin polymath-database from marketplace polymath in MohammadBafkar/polymath. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (8)

  • data-retention-archiving

    Design retention and archiving — tiers, partition-drop purges, legal hold, deletion requests, restore tests — for DBs, event logs, lakes.

  • db-io-tuning

    Cut database IO — cache and working set, read/write amplification, WAL/fsync, checkpoints, bloat, volume IOPS limits. Not plans or indexes.

  • db-performance-triage

    Triage a slow or saturated database top-down (workload, waits, plans, IO, locks, pools) to ONE bottleneck. Engine-agnostic; not one query plan.

  • db-scaling-strategy

    Choose how to scale a database, cheapest first — tune, cache, replicas, partition, shard, CQRS. Not shard-key design.

  • index-strategy

    Design or prune indexes from the query workload — column order, covering, partial, type, write cost, unused cleanup. Not plan reading.

  • nosql-partition-design

    Design NoSQL access patterns and partition keys (DynamoDB, Cassandra, Cosmos, Mongo) — hot partitions, indexes, throughput, TTL.

  • partitioning-sharding

    Design table partitioning and shard keys — pruning, hot shards, cross-shard queries, resharding. Not whether to shard.

  • postgres-performance

    Tune Postgres runtime performance — pg_stat_statements, vacuum/bloat/HOT, index types, locks, pooling. Not server config (audit-pg-config).

View source on GitHub

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