Data Model Creation
CheckedHelps with data, data modeling, creation as part of working with databases and data persistence workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add tencentcloudbase/cloudbase-ai-toolkit --skill data-model-creation -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
tencentcloudbase
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned tencentcloudbase/cloudbase-mcp at 6032e5d15f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6032e5d15f
- Scanned
- 1 file, 187 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill enables AI agents to create and manage data models within Tencent Cloud Base, allowing for the definition of database schemas and table structures. It streamlines the setup phase of applications by automating the translation of logical requirements into executable cloud resources.
When to use it
- Initializing a new project that requires immediate database schema definitions.
- Dynamically generating table structures based on evolving application logic.
- Automating repetitive data model updates across multiple environments.
- Rapidly prototyping data relationships before committing to full infrastructure deployment.
Key capabilities
- Creation of new data models within the Tencent Cloud Base environment.
- Management of database schema definitions and table configurations.
- Integration with the cloudbase-mcp toolset for resource provisioning.
Example prompts
- "Create a new data model for an e-commerce product catalog with fields for name, price, and inventory count."
- "Define a user authentication table including email, password hash, and created timestamp columns."
- "Set up a relational data model linking orders to customers and products in Tencent Cloud Base."
Tips & gotchas
Ensure your Tencent Cloud Base instance is properly configured and accessible before attempting model creation. Verify that the specific schema constraints align with your application's expected data types to prevent runtime errors later.