Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
原文の言語: 英語
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SkillsMP は Zephyrex21/claude-skills-vetted から 35 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 35 件中 35 件を表示しています。
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
原文の言語: 英語
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
原文の言語: 英語
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning.…
原文の言語: 英語
Create personalized, compelling cover letters from resume and job description
原文の言語: 英語
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring…
原文の言語: 英語
Docker containerization best practices for building, securing, and deploying containers.
原文の言語: 英語
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
原文の言語: 英語
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
原文の言語: 英語
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
原文の言語: 英語
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
原文の言語: 英語
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval,…
原文の言語: 英語
MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.
原文の言語: 英語
Provides comprehensive guidance for Playwright testing including browser automation, test writing, page objects, and cross-browser testing. Use when the user asks about Playwright, needs to write E2E tests, automate browsers, or test web applications across…
原文の言語: 複数言語
Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update",…
原文の言語: 英語
Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql",…
原文の言語: 英語
Provides comprehensive guidance for pytest testing framework including test writing, fixtures, parametrization, mocking, and plugins. Use when the user asks about pytest, needs to write Python tests, use pytest fixtures, or configure pytest for Python…
原文の言語: 複数言語
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
原文の言語: 英語
Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match
原文の言語: 英語
Ensure ATS-friendly formatting and create clean scannable layouts
原文の言語: 英語
Customize resume for specific job postings while maintaining truthfulness
原文の言語: 英語
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
原文の言語: 英語
Supabase development guidelines for database, authentication, real-time subscriptions, and Edge Functions.
原文の言語: 英語
Provides comprehensive guidance for Vitest testing framework including fast test execution, Vite integration, component testing, mocking, and configuration. Use when the user asks about Vitest, needs to write fast unit tests, test Vue/React components, or…
原文の言語: 複数言語
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or…
原文の言語: 英語
Use when you have a spec or requirements for a multi-step task, before touching code
原文の言語: 英語
Use when creating new skills, editing existing skills, or verifying skills work before deployment
原文の言語: 英語
CI/CD pipeline design with GitHub Actions, GitLab CI, and Jenkins. Use when the user mentions CI/CD, continuous integration, continuous deployment, GitHub Actions, GitLab CI, Jenkins, Jenkinsfile, pipeline, workflow, build automation, reusable workflow,…
原文の言語: 英語
Provides comprehensive code review guidance for React 19, Vue 3, Angular 17+, Svelte 5, Rust, TypeScript, Java, Java 8, PHP, Ruby, Rails, Python, Django, FastAPI, Go, C#/.NET, Kotlin, Swift, NestJS, C/C++, Zig, CSS/Less/Sass, Qt, and more. Covers architecture…
原文の言語: 英語
Produce thoughtful, high-fidelity design artifacts in HTML — landing pages, slide decks, interactive prototypes, animated videos, posters, wireframes, and visual explorations. Use whenever the user asks to design, mock up, prototype, visualize, storyboard, or…
原文の言語: 英語
Generate STAR stories, practice questions, and talking points from resume
原文の言語: 英語
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots,…
原文の言語: 英語
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at…
原文の言語: 英語
Transform weak resume bullets into achievement-focused statements with metrics and impact
原文の言語: 英語
Expert system design coach for architecture and interviews. Use when the user says "system design", "design [a system]", "HLD", "LLD", "high-level design", "low-level design", "distributed systems", "consistent hashing", "CAP theorem", "caching strategy",…
原文の言語: 英語
Optimize resumes for software engineering, PM, and technical roles
原文の言語: 英語