An AI-powered SQL expert to analyze execution plans, format queries, and generate SQL from natural language.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sql-explain-cli
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install sql-explain-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is SQL Query Explain?
SQL Query Explain is a technical utility designed to help developers understand and optimize database performance through detailed query analysis. As part of the Openclaw Skills ecosystem, it serves as a bridge between complex database engine outputs and actionable developer insights. The skill parses EXPLAIN outputs for major databases like MySQL, PostgreSQL, and SQLite, pinpointing inefficient scan types and costly joins while providing clear optimization paths. Beyond performance tuning, it enhances the developer experience by offering robust SQL formatting and a natural language to SQL engine.
SQL Query Explain Use Cases
- Identifying performance bottlenecks in slow-running database queries by analyzing execution plans.
- Converting business requirements into SQL statements using natural language processing.
- Enforcing consistent SQL styling and indentation across development teams.
- Troubleshooting syntax errors with guided fix suggestions during the coding process.
- Learning database internals by visualizing how different join types and scan methods affect query cost.
How SQL Query Explain Works
- The agent detects a trigger phrase like explain sql or analyze query within the Openclaw Skills interface.
- The input SQL or execution plan is parsed using high-performance Python libraries to determine the logical structure.
- For performance analysis, the tool maps execution plan data against an internal library of optimization rules.
- It evaluates table scan methods, index utilization, and row estimates to calculate potential overhead and identify expensive operations.
- The skill produces a structured Markdown report featuring query costs, performance flags, and specific index or rewrite suggestions.
SQL Query Explain Setup
To begin using this tool within Openclaw Skills, ensure your environment is configured for local parsing. The skill operates without external API dependencies to ensure data privacy.
# Install the core parsing dependency
pip install sqlparse
# Usage example
# Trigger the agent with: "explain sql SELECT * FROM users;"
SQL Query Explain Data Schema & Taxonomy
The skill organizes its analysis into a structured output format for easy interpretation within Openclaw Skills:
| Attribute | Description |
|---|---|
| Total Cost | Numerical estimate of the query execution resource usage. |
| Scan Type | The retrieval strategy used (e.g., Index Scan vs Full Table Scan). |
| Estimated Rows | The number of rows the database optimizer expects to process. |
| Performance Issues | Automated flags for missing indexes or suboptimal join types. |
| Optimization Advice | Actionable steps to improve query speed and efficiency. |
SQL Query Explain Advanced Features
- Multi-dialect support covering PostgreSQL, MySQL, and SQLite execution plan formats.
- Natural Language to SQL (NL2SQL) engine supporting SELECT, INSERT, UPDATE, DELETE, and CREATE TABLE.
- Advanced SQL formatter with keyword capitalization and indentation logic.
- Privacy-focused architecture with 100% local execution and no data leaving your environment.
- Scalable pricing tiers including history tracking and team sharing for professional Openclaw Skills workflows.
SKILL.md
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