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sql-translate

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Translate SQL queries between database dialects (Snowflake, BigQuery, PostgreSQL, MySQL, etc.)

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How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/AltimateAI/altimate-code/blob/HEAD/.opencode/skills/sql-translate/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/sql-translate/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

SQL Translate

Requirements

Agent: builder or migrator (may write translated SQL to files) Tools used: sql_translate, read, write, altimate_core_validate

Translate SQL queries from one database dialect to another using sqlglot's transpilation engine.

Workflow

  1. Determine source and target dialects — If the user did not specify both dialects, ask which source and target dialects to use. Common dialects: snowflake, bigquery, postgres, mysql, tsql, hive, spark, databricks, redshift, duckdb.

  2. Get the SQL to translate — Either:

    • Read from a file path provided by the user (use read)
    • Accept inline SQL from the user's message
    • Read from clipboard or stdin if mentioned
  3. Call sql_translate with:

    • sql: The SQL query text
    • source_dialect: The source dialect
    • target_dialect: The target dialect
  4. Review the result:

    • If success is true, present the translated SQL
    • If there are warnings, explain each one and what may need manual adjustment
    • If success is false, explain the error and suggest fixes
  5. Format the output showing:

    • Original SQL (labeled with source dialect)
    • Translated SQL (labeled with target dialect)
    • Any warnings about lossy translations or features that need manual review
  6. Offer next steps if applicable:

    • Suggest running altimate_core_validate on the translated SQL to verify syntax
    • Offer to write the translated SQL to a file
    • Offer to translate additional queries

Usage

The user invokes this skill with optional dialect and SQL arguments:

  • /sql-translate — Interactive: ask for source dialect, target dialect, and SQL
  • /sql-translate snowflake postgres — Translate from Snowflake to PostgreSQL (will ask for SQL)
  • /sql-translate snowflake postgres SELECT DATEADD(day, 7, CURRENT_TIMESTAMP()) — Full inline translation

Supported Dialects

DialectKey
Snowflakesnowflake
BigQuerybigquery
PostgreSQLpostgres
MySQLmysql
SQL Servertsql
Hivehive
Spark SQLspark
Databricksdatabricks
Redshiftredshift
DuckDBduckdb
SQLitesqlite
Oracleoracle
Trino/Prestotrino / presto

Use the tools: sql_translate, read, write, altimate_core_validate.