next-stack
Next.js App Router frontend stack workflow: Server Components-first, Prisma server-only (Node runtime), Tailwind + shadcn/ui, TanStack Query, React Hook Form + Zod, and conventions for work under frontend/. Use...
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Next.js App Router frontend stack workflow: Server Components-first, Prisma server-only (Node runtime), Tailwind + shadcn/ui, TanStack Query, React Hook Form + Zod, and conventions for work under frontend/. Use...
Perform root-cause analysis for bugs/errors/regressions using logs, repro steps, and hypothesis testing. Use when the user reports “nie działa”, stack traces, failing tests, or regressions.
Recall and reuse prior decisions, constraints, and artifacts using MCP memory (e.g., Neo4j). Use when the user references past work (“jak ostatnio”, “kontynuuj”), when resuming a project thread, or when a repea...
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relations...
Split large texts into meaningful, AI-optimized chunks while preserving semantic coherence and document structure. Use when processing large documents for AI training, RAG systems, or when you need to break dow...
Automate frequent Git operations including adding changes, committing with meaningful messages, and pushing to remote repositories. Use when you need to save progress, commit code changes, or maintain regular v...
Specialized processing for Chuukese language text including tokenization, accent handling, cultural context preservation, and language-specific patterns. Use when working with Chuukese text, translation tasks,...
CSS styling standards and best practices for responsive, accessible, and maintainable web interfaces with special considerations for multilingual content and Chuukese text display. Use when creating or modifyin...
Process documents in multiple languages with focus on low-resource languages, accented character systems, and cross-linguistic content analysis. Use when working with minority languages, mixed-language document...
Security and environment configuration standards for web applications, including environment variable management, secure coding practices, and production deployment security. Use when setting up environments, c...
Specialized database operations for Chuukese language data including dictionary management, phrase collections, translation pairs, and linguistic metadata. Use when working with Chuukese language databases, man...
Generate high-quality training datasets from documents, text corpora, and structured content. Use when creating AI training data from dictionaries, documents, or when generating examples for machine learning mo...
Process large documents (200+ pages) with structure preservation, intelligent parsing, and memory-efficient handling. Use when working with complex formatted documents, multi-level hierarchies, or when you need...
Comprehensive code documentation standards and guidelines for maintaining up-to-date documentation across Python, HTML, CSS, and JavaScript codebases. Use when creating or modifying code to ensure proper docume...
Automatically manage Python virtual environments (.venv) in terminal commands. Always activate .venv before running Python/pip commands. Use when executing Python scripts, installing packages, or running develo...
Process scanned documents and images containing Chuukese text using OCR with specialized post-processing for accent characters and traditional formatting. Use when working with scanned books, documents, or imag...
Assess and validate translation quality between Chuukese and English with cultural context awareness, linguistic accuracy checking, and automated quality metrics. Use when evaluating translation outputs, buildi...
Systematic bug investigation and root cause analysis
Design RESTful APIs following best practices
Review pull requests against team standards and best practices
Generate commit messages following conventional commits with scope detection
Safe code refactoring with step-by-step approach
Generate comprehensive test cases for code
Review code quality, patterns, and best practices
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。