typescript-quality-checker
Validate TypeScript/JavaScript code quality with ESLint, Prettier, type checking, and security analysis. Use for TypeScript/JS codebases to ensure code quality and standards.
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Validate TypeScript/JavaScript code quality with ESLint, Prettier, type checking, and security analysis. Use for TypeScript/JS codebases to ensure code quality and standards.
Generate Jest-based unit tests for JavaScript/TypeScript code. Creates test files following Jest conventions with proper mocking, describe blocks, and coverage.
TypeScript/JavaScript Test-Driven Development with Vitest, strict red-green-refactor methodology, React component testing, and comprehensive coverage patterns. Use when implementing TypeScript features with TDD, writing Vitest tests, testing React components, developing with test-first approach, or when user mentions 'TypeScript TDD', 'Vitest', 'React testing', 'JavaScript TDD', 'red-green-refactor', 'TypeScript unit tests', or 'test-driven TypeScript'.
Identify memory leaks, inefficient allocations, and optimization opportunities in JavaScript/TypeScript and Python applications. Analyze heap snapshots, allocation patterns, garbage collection, and memory retention. Use when memory grows over time, high memory consumption detected, performance degradation, or when user mentions 'memory leak', 'memory usage', 'heap analysis', 'garbage collection', 'memory profiling', or 'out of memory'.
Type-safe SQL ORM for TypeScript with zero runtime overhead
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Progressive learning methodology for structured onboarding using time-boxed learning paths (Day-1, Week-1, Month-1), validation checkpoints, and scaffolding principles. Use when onboarding new contributors, reducing ramp-up time from weeks to days, creating self-service learning paths, systematizing ad-hoc knowledge sharing, or building institutional knowledge preservation. Provides 3 learning path templates (Day-1: 4-8h setup→contribution, Week-1: 20-40h architecture→feature, Month-1: 40-160h expertise→mentoring), progressive disclosure pattern, validation checkpoint principle, module mastery best practice. Validated with 3-8x onboarding speedup (structured vs. unstructured), 95%+ transferability to any software project (Go, Rust, Python, TypeScript). Learning theory principles applied: progressive disclosure, scaffolding, validation checkpoints, time-boxing.
Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Claude, Gemini, Amazon Nova, and other foundation models via SAP BTP.
Convex real-time backend specialist covering TypeScript-first reactive patterns, optimistic updates, server functions, and file storage. Use when building real-time collaborative apps, implementing reactive queries, or integrating with Clerk/Auth0.
TypeScript 5.9+ development specialist covering React 19, Next.js 16 App Router, type-safe APIs with tRPC, Zod validation, and modern TypeScript patterns. Use when developing TypeScript applications, React components, Next.js pages, or type-safe APIs.
Code quality standards for TypeScript and React including naming conventions, file organization, error handling, and best practices. Use when reviewing code, establishing patterns, or when the user mentions code quality, standards, conventions, formatting, or linting.
Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.
Domain context for Multi-layer output validation system — contract enforcement with six validator types (json_schema, typescript_interface, test_suite, markdown_spec, format, non_empty_file), progressive JSON recovery with three aggressiveness tiers, adaptive retry with failure classification and repair prompts, error wrapper detection for AI-generated envelopes, input artifact schema validation, preflight dependency checks with auto-install, and pipeline-level phase/concurrency/staleness validation.
This skill should be used when the user asks about "API contract", "api-contract.md", "shared interface", "TypeScript interfaces", "request response schemas", "endpoint design", or needs guidance on designing contracts that coordinate backend and frontend agents.
Use when designing or building modern web applications in JavaScript/TypeScript (SPA/SSR/SSG/ISR/RSC): architecture trade-offs, state/data patterns, performance, testing, delivery, and team scaling.
Bootstrap new projects with strong typing, linting, formatting, and testing. Supports Python, TypeScript, and other languages with research fallback.
Use when aligning with Georgios’s default Git/GitHub conventions—cloning with gh, Conventional Commits, atomic staging, and guarded GitHub Actions for Rust/Python/TypeScript—so work matches his standard workflows.
Type-safe ORM for Cloudflare D1 databases using Drizzle. This skill provides comprehensive patterns for schema definition, migrations management, type-safe queries, relations, and Cloudflare Workers integration. Use when: building D1 database schemas, writing type-safe SQL queries, managing database migrations with Drizzle Kit, defining table relations, implementing prepared statements, using D1 batch API for transactions, or encountering "D1_ERROR", transaction errors, foreign key constraint failures, migration apply errors, or schema inference issues. Prevents 12 documented issues: D1 transaction errors (SQL BEGIN not supported), foreign key constraint failures during migrations, module import errors with Wrangler, D1 binding not found, migration apply failures, schema TypeScript inference errors, prepared statement caching issues, transaction rollback patterns, TypeScript strict mode errors, drizzle.config.ts not found, remote vs local database confusion, and wrangler.toml vs wrangler.jsonc mixing. Keyw