What problem does it solve? When an AI agent receives a request involving technologies, architectures, or domains it has no registered skill for, it risks producing work that ignores project conventions. This Skill detects those knowledge gaps and proposes creating a new skill so future work follows consistent standards. ## Core Features & Use Cases - Gap Detection: Analyzes each user request for skillable concepts (frameworks, architecture patterns, domains) and checks them against the skill registry. - Guided Skill Creation: With user approval, runs the skill-create script to scaffold a new skill, bootstraps rules from the original request, and validates the result. - Registry Re-indexing: Triggers the skill-registry update so the new skill is usable immediately. - Use Case: A user asks to add JWT authentication to a project with no auth skill registered. The Skill flags the gap, proposes creating an auth-jwt skill, scaffolds it, and embeds the user's requirements as rules. ## Quick Start Ask the agent to implement a feature using a framework or pattern that has no registered skill, and approve its proposal to create one.
