dontbesilent

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Connect to a SQL or NoSQL database and ask questions in plain English. Returns rows, counts, and aggregates with a single natural-language prompt.

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Inspects schema, queries, and data patterns to flag what's blocking AI features—missing embeddings, unstructured text, stale indices, permission gaps.

Analyzes query logs and schema to find missing indexes, N+1 patterns, and lock contention — then proposes specific schema or query rewrites.

Simulates a roundtable discussion between experts you choose—a founder, a skeptic, an analyst—each challenging the others' assumptions on your question.

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Plans and executes schema migrations with rollback safeguards, validates data integrity across versions, and generates migration scripts you can review before running.

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Writes structured output—lists, tables, records—directly to a database table you specify, without manual CSV exports or copy-paste steps.

Reads a database backup file and walks through safe restore steps, verifying schema and data integrity before bringing the system back online.

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Takes a rough critique ("this doesn't feel right") and expands it into 3–5 specific questions that help the maker understand what's actually broken and how to fix it.

Walks through your scale, consistency needs, and query patterns, then recommends a specific database (Postgres, MongoDB, DynamoDB, etc.) with trade-offs spelled out.

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Checks your current dbskill installation, identifies the latest available version, and applies the upgrade with dependency resolution and rollback safety.

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Diagnoses why a query hangs, identifies locks or missing indexes, and suggests the minimal fix to restore throughput without a full rewrite.