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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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SKILL.md

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

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