Data Model Selector

v1.0.0

Choose between relational, document, and graph data models for an application by analyzing data shape, relationship complexity, and query patterns. Use when...

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byHung Quoc To@quochungto
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
high confidence
Purpose & Capability
Name and description match the actual requirements and behavior: the skill analyzes data shape, relationships, and query patterns to recommend a data model. It requests only analysis inputs (system descriptions, schema files) and does not ask for unrelated credentials or tools.
Instruction Scope
SKILL.md is a self-contained decision framework and guidance for scoring and recommending a model. It asks the agent to consume user-provided descriptions and schema files and to score criteria from the included decision matrix; it does not instruct the agent to read unrelated system files, environment variables, or contact external endpoints.
Install Mechanism
No install spec or code files are present; this is an instruction-only skill. Nothing will be downloaded or written by an installer.
Credentials
The skill declares no required environment variables, credentials, or config paths. Inputs are documents or pasted descriptions, which is proportionate for the stated task.
Persistence & Privilege
Flags show no permanent/always presence and default autonomous invocation is allowed (platform default). The skill does not request system-wide configuration changes or cross-skill credentials.
Assessment
This skill is coherent and appears to do what it says: analyze provided schemas/descriptions and recommend a data model. Before using it, avoid pasting production secrets, full database dumps containing PII, or credentials — share only the schema/architecture and representative query patterns. Treat the recommendation as architectural guidance (not an operational playbook); validate with benchmarks and your operational constraints before committing to a model.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

📚 Clawdis

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