dbeaver
Guides DBeaver usage for database connection management, SQL development, data import/export, and ER diagram generation across MySQL, PostgreSQL, Oracle, MongoDB, and other databases. Use when the user needs to configure DBeaver connections, write queries in the SQL editor, export data, or generate ER diagrams.
Best use case
dbeaver is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Guides DBeaver usage for database connection management, SQL development, data import/export, and ER diagram generation across MySQL, PostgreSQL, Oracle, MongoDB, and other databases. Use when the user needs to configure DBeaver connections, write queries in the SQL editor, export data, or generate ER diagrams.
Guides DBeaver usage for database connection management, SQL development, data import/export, and ER diagram generation across MySQL, PostgreSQL, Oracle, MongoDB, and other databases. Use when the user needs to configure DBeaver connections, write queries in the SQL editor, export data, or generate ER diagrams.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "dbeaver" skill to help with this workflow task. Context: Guides DBeaver usage for database connection management, SQL development, data import/export, and ER diagram generation across MySQL, PostgreSQL, Oracle, MongoDB, and other databases. Use when the user needs to configure DBeaver connections, write queries in the SQL editor, export data, or generate ER diagrams.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dbeaver/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dbeaver Compares
| Feature / Agent | dbeaver | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Guides DBeaver usage for database connection management, SQL development, data import/export, and ER diagram generation across MySQL, PostgreSQL, Oracle, MongoDB, and other databases. Use when the user needs to configure DBeaver connections, write queries in the SQL editor, export data, or generate ER diagrams.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## When to use this skill Use this skill whenever the user wants to: - Configure DBeaver database connections (MySQL, PostgreSQL, Oracle, MongoDB, etc.) - Write and execute SQL queries in the DBeaver SQL editor - Export data to CSV, JSON, SQL, or Excel formats - Import data from files into database tables - Generate ER diagrams to visualize table relationships - Manage multiple database connections, bookmarks, and drivers ## How to use this skill ### Workflow 1. **Create a connection** - New Connection > Select database type > Configure host/port/credentials > Test Connection 2. **Write SQL** - Open SQL Editor (F3) > Write query > Execute (Ctrl+Enter) 3. **Manage data** - Right-click table > Export Data or Import Data > Choose format 4. **Generate ER diagram** - Right-click schema > View Diagram > Arrange tables ### Quick-Start Example: Connect and Query ``` 1. File > New > Database Connection 2. Select "PostgreSQL" > Enter: Host: localhost Port: 5432 Database: mydb Username: admin Password: **** 3. Click "Test Connection" to verify 4. Open SQL Editor (F3), run: SELECT table_name, pg_size_pretty(pg_total_relation_size(table_name::text)) FROM information_schema.tables WHERE table_schema = 'public' ORDER BY pg_total_relation_size(table_name::text) DESC; ``` ### Data Export ``` Right-click table > Export Data > Format: CSV / JSON / SQL INSERT / Excel Options: Set delimiter, encoding, header row Target: File or clipboard ``` ## Best Practices 1. **Driver management** - DBeaver auto-downloads drivers on first connect; update drivers periodically 2. **Secure credentials** - Enable encrypted password storage in connection properties 3. **Transaction mode** - Switch to manual commit in production to prevent accidental changes 4. **Result set navigation** - Use filters, sorting, and pagination for large result sets 5. **Keyboard shortcuts** - Ctrl+Enter to execute, Ctrl+Shift+E to explain plan, F3 for SQL editor ## Keywords dbeaver, database, SQL, PostgreSQL, MySQL, Oracle, MongoDB, 数据库管理, SQL editor, ER diagram, data export, data import, database tool
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