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schema.linter

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Validate and lint structured data files (YAML, JSON, TOML) for consistency, required fields, syntax errors, and schema compliance.

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Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/schemalinter/SKILL.md

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schema.linter

Purpose

Validate configuration files, JSON schemas, and structured data files against defined rules to catch errors before runtime. This is a shared skill applicable across all Carbon ACX file types.

When to Use

Trigger Patterns:

  • "Validate all config files"
  • "Check schemas for errors"
  • "Lint JSON/YAML files"
  • "Verify wrangler.toml is valid"
  • Pre-commit hook integration

Do NOT Use When:

  • Validating Python/TypeScript code (use language-specific linters)
  • Checking CSV data integrity (use data-specific validation)

Allowed Tools

  • read_file - Read config files and schemas
  • python - Parse and validate YAML/JSON/TOML
  • bash - Run external validators (yamllint, jsonschema)

Access Level: 1 (Local Execution - read-only)

Expected I/O

Input:

  • File paths or glob patterns
  • Example: "schemas/**/*.json", "wrangler.toml", "config/*.yaml"

Output:

  • Validation report with errors/warnings
  • File:line references for each issue
  • Suggested fixes when possible

Dependencies

Required:

  • Python 3.11+ with PyYAML, jsonschema, toml libraries
  • Optional: yamllint, prettier (JSON)

Configuration:

  • config.json - Linting rules and schema paths

Examples

Example: Validate JSON Schema

User: "Use schema.linter to check all config files"

Output:

✅ config/layers.json - Valid
✅ config/sectors.json - Valid
❌ config/profiles.json - 2 errors:
   Line 15: Missing required field 'profile_id'
   Line 23: Invalid type for 'vintage' (expected integer, got string)

⚠️  schemas/figure-manifest.schema.json - 1 warning:
   Line 45: Description field is empty

Summary: 2 files valid, 1 file with errors, 1 file with warnings

Limitations

  • Cannot fix files automatically (reports only)
  • Limited to YAML/JSON/TOML formats
  • Custom schema definitions required for validation

Validation Criteria

  • ✅ All files parse without syntax errors
  • ✅ Required fields present
  • ✅ Types match schema definitions
  • ✅ No duplicate keys

Maintenance

Owner: Platform Team Review Cycle: Quarterly Last Updated: 2025-10-18 Version: 1.0.0