Individual skill
datamodel-code-generator
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects. Use it for requests such as "Pydantic models from this schema", "types for this API", "parse this JSON into classes", or "convert this spec into Python models". Prefer the datamodel-codegen CLI over hand-written model code whenever an input schema, API spec, sample data file, or Python model object exists.
skills/datamodel-code-generator/SKILL.md
Source commit 18037efa3d1f692dfeb90e2cd8152039c0a71f4d
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- Observed behavior
- Instructions only
- Last checked
- Nov 4, 2026
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- Repository stars (not skill ratings)
- 4,052
- Repository last updated
- Nov 6, 2026
- License
- MIT
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- openapi Repository topic
- code-generator Repository topic
- python Repository topic
- pydantic Repository topic
- generator Repository topic
- fastapi Repository topic
- json-schema Repository topic
- datamodel Repository topic
- swagger Repository topic
- yaml Repository topic
- data Derived category
- docs Derived category
- docs-api Derived category
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Read excerpt
# datamodel-code-generator
## Why use this CLI
Use `datamodel-codegen` whenever a schema, API spec, sample data file, or existing Python model object exists.
The CLI handles refs, enums, nested models, unions, `allOf`, `oneOf`, `anyOf`, and model reuse better than hand-written code.
Do not hand-write generated models first.
## Availability check
Check one-shot execution first:
