By bradtaylorsf
Explore and apply TypeScript generics, utility types, type inference patterns, and best practices for writing type-safe, reusable code with minimal explicit annotations
TypeScript generics patterns for reusable type-safe code
TypeScript type inference patterns and techniques
TypeScript best practices and common patterns
Built-in TypeScript utility types and their applications
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GitHub Issues management - create, plan, optimize, and triage GitHub issues with codebase exploration and duplicate detection. Generate customer-facing slide deck reports for account management.
Linear ticket management - create, plan, optimize, and triage Linear tickets with codebase exploration and duplicate detection. Generate customer-facing slide deck reports for account management.
Jest testing patterns - test organization, mocking, async testing, coverage
Auth0 integration patterns - NextAuth, Express middleware, authentication flows
Prisma ORM patterns - schema design, queries, migrations, relations
npx claudepluginhub p/the-answerai-aai-stack-typescript-plugins-aai-stack-typescriptComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Memory compression system for Claude Code - persist context across sessions
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls