query-builder

Convert natural language questions into SQL queries using the database schema.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "query-builder" with this command: npx skills add clidey/whodb/clidey-whodb-query-builder

Query Builder

Convert natural language questions into SQL queries using the database schema.

When to Use

Activate when user asks questions like:

  • "Show me all users who signed up last month"

  • "Find orders greater than $100"

  • "Which products have low inventory?"

  • "Get the top 10 customers by total spend"

Workflow

  1. Understand the Schema

Before generating SQL, always check the table structure:

whodb_tables(connection="...") → Get available tables whodb_columns(table="relevant_table") → Get column names and types

  1. Identify Intent

Parse the natural language request:

  • Subject: What entity? (users, orders, products)

  • Filter: What conditions? (last month, > $100, active)

  • Aggregation: Count, sum, average, max, min?

  • Grouping: By what dimension?

  • Ordering: Sort by what? Ascending/descending?

  • Limit: How many results?

  1. Map to Schema
  • Match entities to table names

  • Match attributes to column names

  • Identify foreign key joins needed

  1. Generate SQL

Build the query following SQL best practices:

SELECT columns FROM table [JOIN other_table ON condition] WHERE filters [GROUP BY columns] [HAVING aggregate_condition] ORDER BY column [ASC|DESC] LIMIT n;

  1. Execute and Present

whodb_query(query="generated SQL")

Translation Patterns

Natural Language SQL Pattern

"last week/month/year" WHERE date_col >= DATE_SUB(NOW(), INTERVAL 1 WEEK)

"more than X" / "greater than X" WHERE col > X

"top N" ORDER BY col DESC LIMIT N

"how many" SELECT COUNT(*)

"total" / "sum of" SELECT SUM(col)

"average" SELECT AVG(col)

"for each" / "by" GROUP BY col

"between X and Y" WHERE col BETWEEN X AND Y

"contains" / "like" WHERE col LIKE '%term%'

"starts with" WHERE col LIKE 'term%'

"is empty" / "is null" WHERE col IS NULL

"is not empty" WHERE col IS NOT NULL

Date Handling by Database

PostgreSQL

WHERE created_at >= NOW() - INTERVAL '7 days' WHERE created_at >= DATE_TRUNC('month', CURRENT_DATE)

MySQL

WHERE created_at >= DATE_SUB(NOW(), INTERVAL 7 DAY) WHERE created_at >= DATE_FORMAT(NOW(), '%Y-%m-01')

SQLite

WHERE created_at >= DATE('now', '-7 days') WHERE created_at >= DATE('now', 'start of month')

Examples

"Show me users who signed up this month"

SELECT * FROM users WHERE created_at >= DATE_TRUNC('month', CURRENT_DATE) ORDER BY created_at DESC;

"Find the top 5 products by sales"

SELECT p.name, SUM(oi.quantity) as total_sold FROM products p JOIN order_items oi ON p.id = oi.product_id GROUP BY p.id, p.name ORDER BY total_sold DESC LIMIT 5;

"How many orders per customer?"

SELECT customer_id, COUNT(*) as order_count FROM orders GROUP BY customer_id ORDER BY order_count DESC;

Safety Rules

  • Always use LIMIT for exploratory queries (default: 100)

  • Never generate DELETE, UPDATE, or DROP unless explicitly requested

  • Warn if query might return large result sets

  • Use table aliases for readability in JOINs

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Coding

whodb

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

schema-designer

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

query-builder

No summary provided by upstream source.

Repository SourceNeeds Review