Validate concept outputs against JSON schemas to detect structural errors.
npx skills add https://github.com/mkolb22/zen-plugin --skill schema-validation
Please help me install this Agent Skill. Skill: Schema Validation Source: https://github.com/mkolb22/zen-plugin/tree/main/skills/schema-validation Command: npx skills add https://github.com/mkolb22/zen-plugin --skill schema-validation
JSON schema validation enforces structure and data quality for concept outputs, catching format errors early to prevent downstream failures and reduce debugging time.
Run a validation pass on a generated concept output to verify it conforms to the appropriate JSON schema.
High-intent search queries and answers about installing and using this skill.
To validate JSON schema conformance, run a validation pass immediately after concept execution to verify structural integrity and detect data-quality errors early. This provides actionable feedback indicating exactly which fields fail schema checks.
JSON schema validation enforces structure and data quality in automated workflows by catching format errors early. This prevents downstream failures and reduces debugging time through a fail-fast workflow with clear error messages.
Yes, this schema validation supports a catalog of multiple concept types including story, architecture, implementation, quality-review, quality-test, and version. Each concept type has its own corresponding schema for conformance checking.
When JSON schema validation fails, it provides actionable feedback indicating exactly which fields fail schema checks. This fail-fast workflow includes clear error messages and optional blocker states to halt execution on critical errors.
Yes, you can use schema validation to preserve formal output specifications that aid reproducibility, audits, and onboarding. Validating concept outputs against relevant schemas maintains documentation and governance for your data.
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