A robust database operating system for managing schemas, migrations, and recovery readiness with high reliability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install database-manager
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-manager 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 Manager?
Database Manager provides a structured framework for planning, operating, and recovering relational databases. It serves as a comprehensive system for Openclaw Skills users to maintain schema governance, ensure query hygiene, and handle incident response effectively. By enforcing safety gates and preflight checks, it prevents common operational hazards like unintended mass writes or production latency spikes during complex migrations.
This skill transforms how developers and operators interact with data layers by treating migrations as product releases and backups as unverified until a restore is proven. It centralizes operational memory, including naming conventions and indexing standards, ensuring that every database change is audited, documented, and reversible, which is essential for maintaining production integrity in any professional environment using Openclaw Skills.
Database Manager Use Cases
- Executing production schema migrations with explicit rollback plans and verification queries.
- Designing indexing strategies and evaluating query performance trade-offs to minimize latency.
- Performing regular backup restore drills to validate data recovery readiness and document RTO.
- Managing incident response timelines and documenting durable learning post-mitigation to prevent repeat failures.
- Auditing database inventory, ownership, and critical datasets for governance compliance.
How Database Manager Works
- Initialize the local operating environment and directory structure in the home directory.
- Create a preflight packet for any intended schema or data change to assess the blast radius.
- Validate assumptions using read-only query checks before performing any write execution.
- Document planned migrations within the governance framework, including deployment windows and rollback deadlines.
- Execute changes during authorized windows and capture post-deploy verification results.
- Update the central memory files and archive historical records to maintain a durable audit trail.
Database Manager Setup
To get started with this skill within the Openclaw Skills ecosystem, initialize your local environment and review the setup preferences.
# Create the required directory structure
mkdir -p ~/database-manager/archive
# Initialize your memory and inventory files
# Refer to memory-template.md in the skill repository for structure
On first use, ensure you read the setup.md file for local initialization and activation preferences.
Database Manager Data Schema & Taxonomy
The skill organizes its operational data and metadata within the ~/database-manager/ directory to ensure all Openclaw Skills actions are logged and structured:
| File | Purpose |
|---|---|
| memory.md | Durable context, operating preferences, and state. |
| inventory.md | Registry of systems, engines, owners, and datasets. |
| standards.md | Defined naming, indexing, and schema conventions. |
| migrations.md | Log of planned and executed migration records. |
| backups.md | Backup schedules, retention policies, and restore drill logs. |
| incidents.md | Incident timelines, root cause analysis, and mitigations. |
| archive/ | Monthly sub-folders for closed migrations and incident reports. |
Database Manager Advanced Features
- Encoded safety gates for destructive operations like DROP, TRUNCATE, or bulk DELETE.
- Integration with specialized Openclaw Skills such as SQL, MySQL, and Prisma for deep technical workflows.
- Explicit trade-off analysis for index changes, highlighting impacts on read/write throughput.
- Lifecycle management for migrations with monthly archiving for long-term auditability.
- Standardized incident response playbooks that mandate durable learning and guardrail updates.
SKILL.md
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