SQL Query Explainer

    1

    Translate complex SQL statements into plain-English logic, join maps, and risk assessments.

    Free

    3 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    SQL Query Explainer

    Example session with this skill installed

    Explain this: SELECT u.email, SUM(o.total) FROM users u JOIN orders o ON u.id = o.user_id WHERE o.status = 'shipped' GROUP BY u.email HAVING SUM(o.total) > 1000;

    • Read your context and instructions
    • Compiled the sql query explainer

    Summary: Identifies high-value customers by calculating total spend on shipped orders.
    Tables: users (u), orders (o) joined via user_id.
    Steps: Joins users to orders, filters for 'shipped' status, groups by email, and filters for totals > 1000.
    Result: User emails and their total spend.

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

    About this skill

    The problem

    Legacy queries and complex joins often become black boxes that are difficult to audit or explain to non-technical stakeholders. Developers frequently waste time manually tracing logic in deeply nested SQL just to understand what a report or feature is actually doing.

    What it does

    • Deconstructs complex SQL statements into plain-English summaries of intent.
    • Maps all tables, join conditions, and relationships within the query.
    • Breaks down filters, groupings, and ordering logic into sequential steps.
    • Identifies the final result set shape and the meaning of returned columns.
    • Flags risky patterns like missing WHERE clauses on deletions or accidental Cartesian products.

    Frameworks & tools

    Works with all SQL dialects including PostgreSQL, MySQL, T-SQL, Snowflake, and BigQuery.

    Why this beats prompting it yourself

    This skill follows a strict structural analysis process that ensures no clause is overlooked. It enforces a standardized output format that identifies risks and schema assumptions that generic prompts often miss.

    Use cases

    • Audit legacy SQL scripts before refactoring or migration.
    • Generate plain-language documentation for internal data catalogs.
    • Verify business logic in complex reporting queries with stakeholders.
    • Onboard new developers to unfamiliar database schemas and query patterns.

    Known limitations

    Does not execute queries or validate syntax against live databases. Cannot infer column meanings beyond what is explicitly provided in names or schema notes.

    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

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    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.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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