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query-writing

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries.

Skill by langchain-aiOfficial

IndexedMIT★ 30,550
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/langchain-ai-query-writing

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About

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.

Use cases: backend, data, writing, agent-building, database-access

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/query-writing

What's inside

Skill name
query-writing
Description
Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.
License
MIT
Instructions
65 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Query Writing Skill

## Workflow for Simple Queries

For straightforward questions about a single table:

1. **Identify the table** - Which table has the data?
2. **Get the schema** - Use `sql_db_schema` to see columns
3. **Write the query** - SELECT relevant columns with WHERE/LIMIT/ORDER BY
4. **Execute** - Run with `sql_db_query`
5. **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
```sql
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;
```

## Error Recovery

If a query fails or returns unexpected results:
1. **Empty results** — Verify column names and WHERE conditions against the schema; check for case sensitivity or NULL values
2. **Syntax error** — Re-examine JOINs, GROUP BY completeness, and alias references
3. **Timeout** — Add stricter WHERE filters or LIMIT to reduce result set, then refine

## 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)

From langchain-ai/deepagents, MIT.

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Forks
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Open issues
163
Last commit (this folder)
Mar 17, 2026 (7 months ago)
Last release
Oct 23, 2026 (3 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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query-writing skill. Agent Mart. https://agentmart.dev/skills/langchain-ai-query-writing (last updated 2026-10-24)