Топ-12 официальных AI-скиллов и надежных инструментов | AI Agent Skills
Подборка installable AI Agent Skills для developer workflow в official trusted для Claude Code, Cursor и Windsurf.
В этой подборке собраны официальные AI-скиллы и надежные инструменты, которые поддерживаются first-party командами и зрелыми участниками экосистемы. Она подходит командам, которым важны предсказуемое качество, понятная документация и пути интеграции, готовые к production. MCP может использоваться как слой совместимости, но главный акцент — на практичных скиллах и инструментах для более быстрой и надежной поставки AI-продуктов.
Primary Install Bridge
Pick One Skill, Then Take the Install Path
This collection should not trap users in comparison mode or pretend to install the whole collection. Its job is to narrow the shortlist to one skill, then send the next click into installation, validation, and rollout. Installation happens on the skill path.
The Next Click Should Keep Narrowing, Not Reset Back To A Generic Directory
Once the install path is clear, move into the solution, CLI, or editorial surface that best matches this collection. That keeps platform, framework, and operations demand narrowing into a more verifiable high-intent journey.
Reviewed on 2026-04-16 against first-party ownership, documentation quality, install clarity, and production relevance. This is the safest collection to lead with after the site's corpus reset.
We prioritize this page because it lets users verify trust first and then move into one installation path, which is stronger for recovery than sending them into another repo crawl.
Trust Signals
- Entries are maintained by first-party product teams or widely trusted ecosystem builders.
- Documentation and install paths are public, active, and easy to validate before rollout.
- Selection favors practical deployment value over generic GitHub popularity.
Grouping Logic
- Lead with first-party tools and ecosystem anchors users can verify without guesswork.
- Keep the shortlist compact enough to compare quickly, but broad enough to cover install, orchestration, observability, and workflow automation.
- Route discovery into one installation path before expanding into broader workflow collections.
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (useLoaderData).
Complete guide for building beautiful apps with Expo Router. Covers fundamentals, styling, components, navigation, animations, patterns, and native tabs.
Codebase onboarding is an AI agent skill that analyzes unfamiliar codebases and produces structured onboarding guides, helping developers join new projects or set up Claude Code in existing repositories. It systematically identifies key entry points, conventions, and architectures, making it easi...
Навык кодирования C++ предоставляет руководящие принципы для написания современного, безопасного и идиоматического кода C++ на основе руководящих принципов кодирования C++.
Что такое FoundationModels на устройстве? Это фреймворк ИИ для устройств iOS, который позволяет генерировать текст и вызывать пользовательские инструменты
This AI agent skill enables test-driven development for Laravel applications, utilizing PHPUnit and Pest for comprehensive testing. It benefits developers by ensuring high test coverage and promoting robust application development.
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
This AI agent skill provides comprehensive Perl security guidelines, helping developers ensure secure coding practices and prevent common vulnerabilities.
The project-guidelines-example skill provides a template for project-specific skills, leveraging Next.js, FastAPI, and Claude API. It helps developers manage complex projects and improve coding efficiency.
The santa-method AI agent skill provides multi-agent adversarial verification, helping developers ensure code accuracy and compliance by utilizing two independent review agents.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build vid...
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.
# Canary Watch — Post-Deploy Monitoring ## When to Use - After deploying to production or staging - After merging a risky PR - When you want to verify a fix actually fixed it - Continuous monitoring during a launch window - After dependency upgrades ## How It Works Monitors a deployed URL for reg...
This AI agent skill provides a thorough Flutter/Dart code review, covering widget best practices, state management patterns, and clean architecture. Developers can improve their code quality and productivity with this skill.
The laravel-patterns skill provides production-grade Laravel architecture patterns for scalable and maintainable applications, benefiting developers with improved workflow and app performance.
Rules-distill is an AI agent skill that extracts cross-cutting principles from skills and distills them into rules, enhancing coding productivity. It benefits developers by automating rules maintenance and providing a deterministic collection of principles.
Safety Guard is an AI agent skill that prevents destructive operations, ensuring safe coding practices for developers working on production systems. It protects against accidental data loss and system damage.
Навык проверки безопасности для Claude Code помогает обеспечить, чтобы ваш код следовал лучшим практикам безопасности и выявлял потенциальные уязвимости.
The springboot-verification skill automates testing and security scans for Spring Boot projects, helping developers ensure high-quality code. It integrates with Maven and Gradle for seamless workflow automation.
The customs-trade-compliance AI agent skill helps developers automate customs operations, ensuring lawful and cost-optimized movement of goods across borders. It assists with HS classification, duty calculations, and denied party screening, reducing the risk of penalties and seizures.
The energy-procurement skill helps senior energy managers optimize energy spend across multiple facilities. It analyzes tariff structures, identifies optimization opportunities, and evaluates demand charge mitigation strategies, leveraging AI coding for improved procurement decisions.
Навыки ИИ агента для автоматизированного визуального тестирования и взаимодействия в браузере помогают обеспечить качество пользовательского опыта с Claude Code.
This AI agent skill provides universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development, helping developers maintain high-quality codebases. It assists in enforcing naming conventions, formatting, and structural consistency.
exa-search is a neural search skill for AI coding assistants, helping developers find relevant information and code examples efficiently. It benefits developers by providing quick access to web content, company research, and people lookup.
The kotlin-exposed-patterns skill provides comprehensive database access solutions using JetBrains Exposed ORM, benefiting Kotlin developers by simplifying SQL queries, transactions, and data modeling. This skill enhances AI coding workflows by integrating Exposed with HikariCP connection pooling...
Next.js Turbopack accelerates development with incremental bundling and file-system caching. Ideal for Next.js 16+ developers seeking faster startup and hot updates.
Навык 'regex-vs-llm-structured-text' предоставляет решение для парсинга структурированного текста, используя regex для 95-98% случаев и LLM для граничных случаев.
The tdd-workflow AI agent skill enforces test-driven development principles, ensuring comprehensive test coverage for developers. It streamlines coding workflows, reducing errors and increasing productivity.
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
Внедрение зависимостей на основе протокола для тестирования - это техника проектирования программного обеспечения, позволяющая создавать тестируемый и гибкий код.
Continuous-learning-v2 is an advanced learning system that evolves Claude Code sessions into reusable knowledge, helping developers automate coding tasks through instinct-based behavior extraction and confidence scoring.
# Design System — Generate & Audit Visual Systems ## When to Use - Starting a new project that needs a design system - Auditing an existing codebase for visual consistency - Before a redesign — understand what you have - When the UI looks "off" but you can't pinpoint why - Reviewing PRs that touc...
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
Навык ИИ агента 'swift-actor-persistence' предоставляет слой хранения данных, безопасный для потоков, в Swift, используя актеров для обеспечения сериализованного доступа
Carrier relationship management simplifies freight management for senior transportation managers, leveraging AI to optimize carrier onboarding, RFPs, and performance tracking.
The logistics-exception-management AI agent skill helps developers and logistics professionals resolve freight exceptions quickly and efficiently, using technologies like TMS, WMS, and carrier portals. It automates workflows for shipment delays, damages, and disputes, ensuring financial protectio...
The deployment-patterns skill enables developers to optimize web application deployment workflows using CI/CD pipelines, Docker, and health checks, ensuring production readiness and zero downtime.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
The e2e-testing AI agent skill helps developers build robust end-to-end test suites using Playwright and Page Object Model, streamlining their workflow and improving productivity.
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
Этот навык предоставляет шаблоны тестирования на Go, включая таблицу тестов, субтесты, бенчмарки, фаззинг и тестовое покрытие, в соответствии с методологией TDD.
This AI agent skill provides comprehensive Perl testing patterns using Test2::V0, Test::More, and TDD methodology, helping developers ensure robust code quality and productivity.
The laravel-security skill provides comprehensive security guidance for Laravel applications, protecting against common vulnerabilities and ensuring secure deployment. Developers benefit from AI-driven security best practices for authentication, authorization, and more.
This skill provides Nuxt 4 app patterns for hydration safety, performance, and SSR-safe data fetching, benefiting developers with optimized routing and rendering decisions.
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
The Architecture Decision Records skill helps developers capture and manage architectural decisions made during coding sessions. It auto-detects decision moments, records context, alternatives considered, and rationale, maintaining an ADR log for future reference.
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
The agent-harness-construction skill enhances AI coding by optimizing action spaces, tool definitions, and observation formatting, benefiting developers with higher completion rates.
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
The iterative-retrieval skill refines context retrieval for subagents, solving the context problem in multi-agent workflows. It benefits developers by progressively refining context.
This AI agent skill provides Java coding standards for Spring Boot services, focusing on naming, immutability, Optional usage, streams, exceptions, and project layout. It helps developers write clean, efficient, and readable code.
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
The frontend-slides skill helps developers create engaging HTML presentations from scratch or by converting PowerPoint files, using AI-powered visual exploration for non-designers.
The content-engine AI agent skill helps developers create strong, platform-native content systems for various platforms, adapting one idea into multiple formats. It benefits developers, marketers, and content creators by streamlining content creation and repurposing.
Enterprise-agent-ops operates long-lived agent workloads with controls for runtime lifecycle, observability, and safety, benefiting developers working with AI coding assistants like Claude Code.
AI-first engineering is a skill that helps developers design efficient processes, architectures, and code reviews for AI-assisted code generation, improving overall team productivity and code quality.
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of Word doc, word document, .docx, or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads....
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
The skill-creator AI agent skill empowers developers to craft, refine, and perfect skills, streamlining AI coding workflows. It assists in creating new skills, editing existing ones, and evaluating performance for optimal results.
ИИ агент Claude Code может помочь создать эффективные внутренние коммуникации, включая отчеты о статусе, обновления руководства и корпоративные новости.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Навыки ИИ агента для PPTX позволяют создавать, редактировать и манипулировать файлами презентации эффективно. С помощью Claude Code, Cursor и Windsurf автоматизируйте задачи презентации и повышайте производительность.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Что такое навык ИИ агента canvas-design? Это навык, который позволяет создавать визуальное искусство в документах PNG и PDF, используя философию дизайна.
Что такое агент ИИ для frontend-дизайна? Это навык, который создает уникальные и высококачественные интерфейсы frontend с творческим и отполированным дизайном.
Навык написания кода - это подход к разработке, ориентированный на тестирование, для документации процессов, позволяющий создавать повторно используемые и эффективные навыки
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Subagent-driven development automates independent tasks using fresh subagents, ensuring high-quality results and fast iteration for developers. It streamlines AI coding workflows.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
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.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Transformers.js позволяет запускать модели машинного обучения высшего уровня на JavaScript, как в браузерах, так и в средах Node.js, без необходимости сервера.
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and browsers (with WebGPU/WASM) using pre-trained models from Hugging Face Hub.
This skill trains language models using TRL on Hugging Face infrastructure, covering SFT, DPO, GRPO, and reward modeling. It benefits developers by providing cloud GPU training and GGUF conversion for local deployment.
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs...
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
The Hugging Face Papers skill enables developers to look up and read AI research papers in markdown, and access structured metadata such as authors and linked models. This skill benefits developers and researchers by providing easy access to AI research insights.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
This skill enables developers to test Hugging Face models locally, streamlining backend selection and model comparisons. It supports inspect-ai and lighteval for efficient evaluations.
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.
The design-md skill analyzes Stitch projects, synthesizing a semantic design system into DESIGN.md files, benefiting developers by streamlining design workflows with AI coding.
shadcn-ui helps frontend engineers build applications with customizable UI components, following best practices for integration and development with AI coding assistance.
Stitch Loop is an AI agent skill that enables autonomous frontend builders to iteratively develop websites using Stitch. It integrates pages into site structures and prepares instructions for the next iteration, streamlining AI coding workflows for developers.
The sandbox-sdk AI agent skill enables developers to build secure, isolated code execution environments on Cloudflare Workers, perfect for AI code execution, code interpreters, and CI/CD systems.
Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing w...
This Cloudflare AI agent skill empowers developers to build, secure, and optimize applications with ease, leveraging Workers, Pages, and other Cloudflare technologies. Enhance your development workflow with AI-driven automation.
The Cloudflare Agents SDK enables developers to build stateful AI agents, durable workflows, and real-time WebSocket applications. It provides a range of capabilities, including persistent state, callable RPC, and scheduling.
The component-refactoring skill simplifies high-complexity React components, improving code quality and reducing maintenance efforts for developers. It utilizes patterns and workflows to refactor components, making them more efficient and easier to understand.
Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.
Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.
This frontend-code-review skill reviews frontend files, such as .tsx, .ts, and .js, and applies a checklist to ensure code quality, performance, and business logic, helping developers and teams maintain high standards.
The security-review AI agent skill detects vulnerabilities in code, providing systematic review and confidence-based reporting. It helps developers identify security issues and protect their applications.
Warden skill: evaluates first-pass findings and proposes deterministic lint rules that could permanently catch the same patterns. Requires Wardens multi-pass pipeline (phase 2).
This skill should be used when the user asks to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
ALWAYS use this skill when creating or updating pull requests — never create or edit a PR directly without it. Follows Sentry conventions for PR titles, descriptions, and issue references. Trigger on any create PR, open PR, submit PR, make PR, update PR title, update PR description, edit PR, push...
This AI agent skill generates copy following Sentry's brand guidelines, helping developers create consistent UI text, error messages, and marketing copy. It uses Plain Speech and Sentry Voice tones to enhance user experience.
GitHub Actions security review for workflow exploitation vulnerabilities. Use when asked to review GitHub Actions, audit workflows, check CI security, GHA security, workflow security review, or review .github/workflows/ for pwn requests, expression injection, credential theft, and supply chain at...
The find-bugs AI agent skill helps developers review code changes for bugs, security vulnerabilities, and quality issues. It streamlines the code review process, ensuring high-quality code and reducing errors.
The skill-writer AI agent skill empowers developers to create, synthesize, and iteratively improve agent skills, maximizing high-value input coverage for minimal blind spots in AI coding.
The code-review skill performs automated code reviews based on Sentry engineering practices, helping developers improve code quality and security. It assists with identifying runtime errors, performance issues, and security vulnerabilities.
Обзор доступа Django помогает выявить уязвимости доступа и защитить данные. Используйте эту способность для обзора представлений, наборов представлений и запросов ORM.
The create-branch AI agent skill automates Git branch creation, following Sentry naming conventions. It benefits developers by saving time and reducing errors, making it an essential tool for efficient coding workflows.
The gh-review-requests skill fetches unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member, helping developers stay organized and focused on their coding tasks.
The blog-writing-guide skill helps developers create high-quality technical blog posts for the Sentry engineering blog, following specific writing standards and voice. It assists in writing, reviewing, and improving content for a developer audience.
The skill-creator AI agent skill redirects to the canonical sentry-skills:skill-writer workflow, enabling developers to create and update skills efficiently with AI coding.
Helps users discover and install agent skills when they ask questions like how do I do X, find a skill for X, is there a skill that can..., or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.
Навык линейного анализа проблем является мощным инструментом для автоматизации рабочих процессов, позволяющим интегрировать инструменты seperti Linear MCP и GitHub CLI для более глубокого анализа.
Навык ИИ Агента n8n-conventions предоставляет быструю справку по конвенциям n8n, помогая разработать рабочие процессы автоматизации с Claude Code и другими помощниками кодирования ИИ.
If This Page Is Close, Keep Narrowing With Adjacent Authority Pages
Do not reset back to the generic directory. Move sideways through these adjacent high-intent collections to narrow the shortlist toward the install path that best matches your team.
This collection should not keep users browsing forever. These three questions explain how to shortlist, install, and validate the next step.
Для каких рабочих процессов созданы эти подборки?
Эти подборки построены вокруг автоматизации рабочих процессов, документов, данных и переиспользуемых стеков навыков.
Чем подборка отличается от основного каталога навыков?
Каталог лучше подходит для прямого поиска, а подборки помогают найти взаимодополняющие навыки, объединённые вокруг рабочего процесса.
Можно ли установить эти подборки для Claude Code или Cursor?
Да. Навыки в этих подборках обычно работают в Claude Code, Cursor, Windsurf и других поддерживаемых средах через единый процесс установки.
Additional Recovery Paths
Use These Additional Paths If You Need One More Step To Narrow The Decision
These are the supporting surfaces for this collection after the install direction is clear and the primary next paths have already narrowed the decision.