webiny-cli-command-catalog
cli/command — 1 abstractions.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
cli/command — 1 abstractions.
Configuring Auth0 as an identity provider (IDP) for Webiny projects. Use this skill when the developer asks about Auth0 authentication, Auth0 SSO, replacing Cognito with Auth0, setting up external identity providers, configuring OIDC authentication, mapping JWT claims to Webiny identities, or customizing the Auth0 login flow. Also relevant when asking about AUTH0_ISSUER, AUTH0_CLIENT_ID environment variables, Auth0IdpConfig, or the MyAuth0Extension pattern.
Create a PRD through user interview, codebase exploration, and module design, then submit as a GitHub issue. Use when user wants to write a PRD, create a product requirements document, or plan a new feature.
Explain the Nativewind v5 architecture, CSS pipeline, and key files. Use when a contributor wants to understand how the codebase works.
Read loop-constraints.md at the start of every run and enforce every rule. This skill runs BEFORE triage or any action skill. Constraints are binding.
Build an LMDeploy Docker image and push it to the inner registry.
Add a new LLM or VLM to LMDeploy's PyTorch backend.
Summarize documents, articles, conversations, code, and technical content into concise, accurate summaries. Use when user asks to summarize, condense, create a TL;DR, write an executive summary, extract key points, or distill content. Trigger when user says things like "summarize this", "give me the key points", "TL;DR", "what are the main takeaways", "condense this", "brief me on this", or provides long content asking for a shorter version. Also trigger for meeting notes summaries, research paper abstracts, and changelog summaries. Do NOT trigger for rewriting or paraphrasing at similar length, translation, or content generation from scratch.
Run and test Python code in a dedicated playground directory. Use when you need to execute Python scripts, test code snippets, investigate CPython behavior, or experiment with Python without affecting the main codebase.