json-schema-author

name	json-schema-author
description	Authors and validates JSON Schema (Draft 2020-12 and Draft-07) for configuration files and HTTP/REST APIs, applying types, constraints, composition keywords, and human-readable error messaging. Use this skill when the user wants to write, fix, refactor, or validate a JSON Schema, define a config-file contract, document request/response payloads, add validation rules to an OpenAPI spec, generate schemas from sample JSON, or produce clear validation error messages.
license	MIT

JSON Schema Author

Overview

Keywords: JSON Schema, Draft 2020-12, Draft-07, $schema, $ref, $defs, validation, config schema, API schema, OpenAPI, additionalProperties, oneOf, anyOf, allOf, if/then/else, format, pattern, const, enum, error messages, ajv, jsonschema.

This skill helps you design correct, strict, and maintainable JSON Schemas for two dominant use cases: configuration files (validate user/operator input, fail fast with helpful messages) and APIs (contract for request/response bodies, often embedded in OpenAPI). It covers the type system, every important constraint keyword, schema composition, reuse via $ref/$defs, conditional validation, and turning raw validator output into actionable error messages.

Use the bundled material:

• references/keywords.md — complete keyword reference (types, constraints, composition, applicators, annotations, draft differences) with copy-paste snippets.
• references/error-messages.md — patterns for clear, user-facing validation errors and how to map validator output to them.
• templates/config-schema.json — a strict, annotated starting point for a config-file schema.
• templates/api-schema.json — request/response schema pattern suitable for OpenAPI components.schemas.
• scripts/validate.py — stdlib-only structural linter that flags the most common schema authoring mistakes; falls back to jsonschema if installed for real validation.
• examples/config-walkthrough.md — sample config JSON turned into a finished schema with passing and failing instances.

Workflow

1. Pick the draft. Default to Draft 2020-12 for new schemas ($schema: "https://json-schema.org/draft/2020-12/schema"). Use Draft-07 when targeting tooling that lags (older ajv configs, many OpenAPI 3.0 toolchains). OpenAPI 3.1 aligns with 2020-12. Note the differences: 2020-12 uses $defs and prefixItems/items; Draft-07 uses definitions and items (array)/additionalItems. See references/keywords.md.

2. Identify the root type and intent. Is this a config object, an API request, an API response, or a reusable component? Decide whether unknown keys are errors (config → almost always "additionalProperties": false) or tolerated (forward-compatible APIs may allow them).

3. Model the shape. Define type, then properties, then required. List every known property. Add a one-line description and a realistic examples/default where it aids users and generated docs.

4. Add constraints, narrowest first. Apply enum/const, numeric bounds (minimum, maximum, exclusiveMinimum, multipleOf), string rules (minLength, maxLength, pattern, format), and array/object cardinality (minItems, uniqueItems, minProperties). Prefer enum over free-form strings when the value set is closed.

5. Compose and reuse. Extract repeated shapes into $defs and reference with $ref. Use allOf to combine/extend, oneOf for mutually-exclusive variants (tagged unions), anyOf for "at least one", and if/then/else for conditional requirements. Avoid oneOf when only one branch can plausibly match — prefer a discriminator pattern (see references/keywords.md).

6. Lock it down. Set additionalProperties: false for configs and internal APIs. For arrays, decide additionalItems/items: false if a tuple. Mark deprecated fields with deprecated: true.

7. Write good error messaging. Decide between validator-native errors and curated messages. Add title/description and, where supported, errorMessage (ajv-errors) or a post-processing map. Follow references/error-messages.md.

8. Validate against real instances. Run scripts/validate.py to lint the schema structure, then validate at least one passing and several failing instances (one per constraint). Never ship a schema without a failing-case test.

Decision framework: choosing composition keywords

Need	Keyword	Notes
Exactly one of several variants	oneOf	Validation fails if zero or 2+ match. Add a discriminating const per branch.
At least one variant (overlap OK)	anyOf	Cheaper, clearer than oneOf when overlap is allowed.
Combine constraints (extend a base)	allOf	All subschemas must pass. Beware additionalProperties interactions.
Required field depends on another field's value	if/then/else	e.g. if type=="ssl" then cert is required.
Field A requires field B present	dependentRequired	Simple co-presence rules.
Closed value set	enum / const	const for single value; enum for a list.

Critical gotcha: additionalProperties: false only sees properties declared in the same schema object, not those introduced by allOf/$ref siblings. To extend strictly, either declare all properties locally or use unevaluatedProperties: false (Draft 2019-09+/2020-12). See references/keywords.md.

Worked example (tagged union)

A notification config where the payload depends on channel:

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "type": "object",
  "required": ["channel"],
  "properties": { "channel": { "enum": ["email", "sms"] } },
  "oneOf": [
    {
      "properties": {
        "channel": { "const": "email" },
        "to": { "type": "string", "format": "email" }
      },
      "required": ["to"]
    },
    {
      "properties": {
        "channel": { "const": "sms" },
        "to": { "type": "string", "pattern": "^\\+[1-9]\\d{6,14}$" }
      },
      "required": ["to"]
    }
  ],
  "unevaluatedProperties": false
}

Each branch pins channel with const, so exactly one branch can match — clean error attribution. See examples/config-walkthrough.md for a full multi-property example.

Best Practices

• Always declare $schema. It tells validators and humans the dialect.
• Be strict by default. additionalProperties: false for configs; require what's mandatory. Loosen deliberately, not accidentally.
• One source of truth per shape. Factor repeated structures into $defs and $ref them.
• Constrain values, not just types. A "type": "string" port number is a bug; use "type": "integer", "minimum": 1, "maximum": 65535.
• Prefer enum to pattern when the set is finite — it yields better errors and docs.
• Annotate for humans and generators. title, description, examples, default, deprecated feed docs, IDE autocomplete, and form generators.
• Use format judiciously. Many validators treat format as annotation-only unless explicitly enabled (e.g. ajv formats, format: "full"). Back security-critical formats with a pattern.
• Pin tag fields with const inside oneOf branches so exactly one branch matches and errors point to the right place.
• Test failing instances. Each constraint deserves a test that proves it rejects bad input.

Common Pitfalls

• additionalProperties: false + allOf/$ref silently rejects inherited properties. Use unevaluatedProperties: false instead when extending.
• Mixing draft idioms. Don't use definitions (Draft-07) and $defs (2020-12) inconsistently, or items: [..] tuple syntax under 2020-12 (use prefixItems).
• required does not imply existence checks for nested objects unless you also constrain the nested schema — list required at each level.
• oneOf with non-exclusive branches fails when input matches two branches. Add discriminators.
• Forgetting type lets unexpected JSON types pass (a number where you meant a string).
• format assumed enforced. It's often advisory; verify your validator enforces it or add a pattern.
• Numbers vs integers. "type": "number" accepts 1.5; use "integer" for counts/ports/IDs.
• Unescaped regex in pattern. JSON requires \\ for a single backslash; \d must be written \\d.
• Open enum drift. When the value set grows, update the schema — stale enums reject valid new values.