PARA Skill Governance

Skill governance validates AI agent skills by enforcing YAML frontmatter descriptions, size constraints, and actionable non-placeholder instructions. It applies a pre-review quality checklist to ensure newly drafted skills meet PARA workspace structure and naming conventions before registration.

Router-based reference resolution centralizes where validating workflows load checklists and templates from, avoiding hardcoded or legacy paths. It ensures resources are resolved relative to the skill directory, maintaining consistent asset loading for PARA workspace governance.

Create a draft-first skill with actionable instructions, required YAML frontmatter, and non-placeholder content. Run a pre-review self-check against the governance quality checklist to validate naming conventions and size limits before submitting for user review.

Yes, skill governance enforces non-placeholder content requirements during validation. It ensures drafted AI agent skills contain actionable instructions and real data, preventing low-quality or incomplete sidecar skill registrations from entering the PARA workspace.

Workspace skill governance enforces size constraints on drafted skills to keep them maintainable and agent-friendly. It validates that skill content and YAML frontmatter adhere to defined limits, preventing oversized or overly complex agent skill structures from being registered.

Use a governance workflow when adding or validating a new PARA skill to ensure it reliably matches project DNA and meets acceptance criteria. Apply it during drafting, validation, and registration of new sidecar skills for agents to maintain consistent quality gates.