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    Database Query & Migration Optimizer

    1

    Autonomous DBA skill. Detects N+1 query bottlenecks, missing composite indexes, and generates SQL/ORM migrations classified by real locking impact (Postgres, MySQL, MariaDB, SQLite, Prisma, Drizzle, SQLAlchemy, Django).

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    Database Query & Migration Optimizer

    Database Query & Migration Optimizer

    Example session with this skill installed

    Audit this PostgreSQL Prisma query for a news feed. It fetches users, then loops to fetch posts and their comments. Generate a non-blocking index migration for the comments table.

    • Read your context and instructions
    • Compiled the database query
    • Generated the document

    I have audited the feed logic. The current implementation triggers an N+1 pattern by fetching comments individually for each post. I have refactored this to use Prisma's include for batch fetching and generated a concurrent migration for the necessary indexes.

    Database Optimization Report

    FeatureCurrent StateOptimized StateImpact
    Query PatternN+1 (1 + N + M queries)Eager Load (3 queries total)High
    Index StrategySequential ScanIndex Scan (Composite)Medium
    Locking ImpactNone (Read)Online (Concurrent Index)Low

    Refactored Prisma Query

    const feed = await prisma.user.findUnique({
      where: { id: userId },
      include: {
        posts: {
          include: {
            comments: {
              orderBy: { createdAt: 'desc' },
              take: 20
            }
          }
        }
      }
    });
    

    PostgreSQL Migration (SQL)

    -- UP MIGRATION
    -- Classified: ONLINE
    -- Impact: No locks on reads or writes. Note: Cannot run inside a transaction block.
    CREATE INDEX CONCURRENTLY idx_comments_post_created 
    ON "Comment" (post_id, created_at DESC);
    
    -- DOWN MIGRATION
    -- Classified: ONLINE
    DROP INDEX CONCURRENTLY IF EXISTS idx_comments_post_created;
    

    Next steps

    1. Run the migration using a tool that supports non-transactional DDL (e.g., Prisma's $executeRawUnsafe or direct CLI).
    2. Verify the index is valid using \d comments in psql after completion.
    3. Monitor for any temporary CPU spikes during the concurrent index build.

    database-query-migration-optimizer.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Refactor ORM code to eliminate N+1 query bottlenecks.Generate non-blocking index migrations for high-traffic tables.Convert slow offset pagination to fast cursor-based keyset pagination.Rewrite complex subqueries into performant Common Table Expressions (CTEs).

    About this skill

    The problem

    Naive ORM queries and unoptimized SQL frequently cause production bottlenecks, N+1 query loops, and table locking during migrations. Developers often guess at index placement or rely on default migration tools that can inadvertently block writes on large production tables.

    What it does

    • Detects N+1 query patterns in ORM code and provides drop-in refactors using eager loading or batching.
    • Architects composite B-Tree indexes based on WHERE, JOIN, and ORDER BY clause cardinality.
    • Rewrites expensive subqueries into Common Table Expressions (CTEs) or window functions.
    • Replaces slow OFFSET/LIMIT scanning with indexed keyset (cursor-based) pagination.
    • Generates migrations for PostgreSQL, MySQL, and SQLite classified by their real locking impact (online, write-blocking, or downtime-required).

    Frameworks & tools

    PostgreSQL, MySQL, MariaDB, SQLite, Prisma, Drizzle, SQLAlchemy, Django ORM, TypeORM.

    Why this beats prompting it yourself

    General LLMs often suggest "zero downtime" migrations that actually trigger metadata locks or write blocks on specific database versions. This skill applies engine-specific rules, such as CREATE INDEX CONCURRENTLY for Postgres and ALGORITHM=INPLACE for MySQL, while validating support for the specific operation to prevent production outages.

    Use cases

    • Auditing Prisma or Django routes to eliminate nested database loops.
    • Optimizing pagination for datasets with millions of rows.
    • Refactoring complex 5-table joins into performant CTEs.
    • Safe schema migrations for high-traffic tables.

    Known limitations

    Performance timings are estimates unless a live EXPLAIN ANALYZE output is provided. Requires engine version details for accurate locking classification.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Security scanned

    Verified clean 23 days ago

    • Passed all security checks, Safe to install

    Listed23 days ago

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