An AI-driven database assistant designed to automate SQL query construction, schema design, and database administration tasks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install database-helper
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 database-helper 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 Database Helper?
Database Helper is an intelligent utility engineered to streamline database administration, SQL generation, and schema management workflows. As an auto-crystallized capability within the ecosystem of Openclaw Skills, it acts as a virtual DBA, converting natural language commands into highly optimized SQL queries and schema blueprints.
By leveraging execution history and continuous learning paradigms, Database Helper bridges the gap between raw data requirements and technical implementation. It supports fundamental DDL/DML operations like creating and dropping databases, configuring complex schemas, and integrating external database engines, ensuring rapid, error-free database orchestration.
Database Helper Use Cases
- SQL Query Generation: Instantly generate syntactically correct SQL queries (e.g., SELECT, JOIN, GROUP BY) from simple natural language prompts.
- Schema Design and Management: Automated creation of tables, relations, and index architectures, including operations like CREATE DATABASE and DROP DATABASE.
- Database Administration (DBA) Support: Quick diagnostic checks on schema structures, table modifications, and layout configurations.
- Application Integrations: Connect and link compound database structures or external software databases such as Orcad CIS or TraceFinder.
How Database Helper Works
- Natural Language Triggering: The user invokes the helper using standard database-related phrases like "create table", "query data", or "write SQL".
- Context Analysis: The AI agent analyzes the schema request or database dialect requirements, drawing from crystallized training runs and historical data structures.
- Query Construction: The skill generates the optimal SQL syntax, ensuring precise execution paths for commands such as CREATE, DROP, or alter.
- Execution and Validation: If integrated, the query runs against the targeted environment with automated syntax validation to prevent runtime errors.
Database Helper Setup
To activate and integrate the database helper within your agent environment, run the following setup commands:
# Install the database helper capability via the agent CLI
openclaw install database-helper
# Configure your target database credentials
openclaw config set DATABASE_URL "postgresql://user:password@localhost:5432/mydb"
Ensure that you have opencode compatibility configured in your environment before execution.
Database Helper Data Schema & Taxonomy
The database helper structures its operations using a metadata-driven taxonomy to track schema changes and query generation efficiency:
| Attribute | Description | Type |
|---|---|---|
source |
Origin of the execution (e.g., capability_executor) |
String |
trigger |
Natural language patterns that trigger the skill | Array |
success_rate |
Ratio of successful executions to total runs | String |
avg_time_ms |
Average query or schema generation latency (typically ~4ms) | Number |
last_used |
Timestamp of the most recent database execution | DateTime |
Database Helper Advanced Features
- Auto-Crystallization: Dynamically refines and scales database execution pathways based on previous successful query executions.
- Multi-Environment Linking: Advanced support for linking third-party systems such as Cadence Orcad CIS or Thermo TraceFinder Compound Databases.
- Cross-Dialect SQL Generation: Seamless translation across multiple database engines (MySQL, PostgreSQL, SQLite, MS SQL Server).
- High-Performance Execution: Optimized background processing allowing average execution speeds under 4ms for SQL formulation.
SKILL.md
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