cure-lab
Official@cure-lab
Offers technical architectural standards for React performance, Next.js backend integration, and structured metadata configuration for enterprise development environments.
Agent Skills by cure-lab
Showing 6 vetted skills indexed across 1 GitHub repositories.
vercel-react-best-practices
Optimize React and Next.js application performance with bundle size and rendering guidelines.
vercel-composition-patterns
Apply React component composition patterns to reduce complexity and improve maintainability.
backend-dev-guidelines
Guide backend development practices for Next.js, tRPC, BullMQ, and TypeScript in Langfuse's monorepo.
add-model-price
Add and configure LLM model pricing entries in Langfuse with regex matching.
skill-developer
Create and manage Claude Code skills with YAML frontmatter and trigger patterns.
arbiteros-instruction-metadata-dsl-writer
Write and validate ArbiterOS instruction metadata YAML DSL files.
Frequently Asked Questions About cure-lab
FAQPage SchemaWhat specific technical tasks does cure-lab enable?▼
Cure-lab enables the optimization of React rendering performance, the implementation of complex component composition patterns, and the configuration of backend services like tRPC and BullMQ. It also provides structured validation for YAML-based instruction metadata and model pricing entries.
Which engineering personas benefit from these standards?▼
These standards are designed for frontend engineers focusing on Next.js performance, backend developers managing monorepo service layers, and systems architects responsible for defining instruction metadata and configuration DSLs for development environments.
What are the prerequisites for implementing these guidelines?▼
Implementation requires an existing Next.js monorepo environment, familiarity with TypeScript, and active integration with tRPC and BullMQ. Users must also have access to the specific configuration schemas for ArbiterOS or Claude Code to utilize the provided metadata validation patterns.