Individual skill
typed-schema-demo
Example skill — demonstrates zero-dependency JSON Schema derivation from Python dataclasses and type annotations (issue #242). Use as a reference when authoring typed handlers that should publish inputSchema / outputSchema without hand-writing JSON. Not intended for production use.
examples/skills/typed-schema-demo/SKILL.md
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# Typed Schema Demo (issue #242)
This skill demonstrates the `dcc_mcp_core.schema` helpers landed for
issue #242: authors write a typed handler and
`tool_spec_from_callable` derives both `inputSchema` and `outputSchema`
from the annotations, with no dependency on `pydantic`, `jsonschema`, or
`attrs`.
## What to look at
- `scripts/demo.py` — one handler using a dataclass input and a dataclass
output. The derived schemas are structurally compatible with pydantic's
`model_json_schema()` so callers can swap in pydantic later without
migrating agents or cached schemas.