What problem does it solve?
Keeping a library of Webiny MCP skills accurate and complete is tedious: skills drift out of sync with framework changes, import paths break, and new features go undocumented. This Skill automates the creation, refresh, and regeneration of Webiny skills so AI agents always receive correct, working guidance.
Core Features & Use Cases
- Full skill library regeneration: Reads lessons, legacy skills, the codebase, and AI context files in parallel, then regenerates every skill with verified import paths and the universal DI pattern.
- Single skill creation: Researches one Webiny feature across source docs and real extension code, then drafts a complete SKILL.md following the standard template.
- Enforced output format: Guarantees every skill includes a TL;DR, generic pattern, reference tables, complete working code examples, registration in webiny.config.tsx, deploy commands, and related-skill links.
- Use Case: After a Webiny framework release changes content model APIs, ask the agent to regenerate the skill library so all skills reflect the new import paths and extension patterns.
Quick Start
Ask the agent to regenerate the Webiny skill library from the latest documentation and codebase, or to create a new skill for a specific Webiny feature.