Query Writing
by langchain-ai
For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
Skill Details
Repository Files
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name: query-writing description: For writing and executing SQL queries - from simple single-table queries to complex multi-table JOINs and aggregations
Query Writing Skill
When to Use This Skill
Use this skill when you need to answer a question by writing and executing a SQL query.
Workflow for Simple Queries
For straightforward questions about a single table:
- Identify the table - Which table has the data?
- Get the schema - Use
sql_db_schemato see columns - Write the query - SELECT relevant columns with WHERE/LIMIT/ORDER BY
- Execute - Run with
sql_db_query - Format answer - Present results clearly
Workflow for Complex Queries
For questions requiring multiple tables:
1. Plan Your Approach
Use write_todos to break down the task:
- Identify all tables needed
- Map relationships (foreign keys)
- Plan JOIN structure
- Determine aggregations
2. Examine Schemas
Use sql_db_schema for EACH table to find join columns and needed fields.
3. Construct Query
- SELECT - Columns and aggregates
- FROM/JOIN - Connect tables on FK = PK
- WHERE - Filters before aggregation
- GROUP BY - All non-aggregate columns
- ORDER BY - Sort meaningfully
- LIMIT - Default 5 rows
4. Validate and Execute
Check all JOINs have conditions, GROUP BY is correct, then run query.
Example: Revenue by Country
SELECT
c.Country,
ROUND(SUM(i.Total), 2) as TotalRevenue
FROM Invoice i
INNER JOIN Customer c ON i.CustomerId = c.CustomerId
GROUP BY c.Country
ORDER BY TotalRevenue DESC
LIMIT 5;
Quality Guidelines
- Query only relevant columns (not SELECT *)
- Always apply LIMIT (5 default)
- Use table aliases for clarity
- For complex queries: use write_todos to plan
- Never use DML statements (INSERT, UPDATE, DELETE, DROP)
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