Agent Skills Marketplace

Use when building styled UI or working with @nuxt/ui v4 components (Button, Modal, Form, Table, etc.) - provides ready-to-use components with Tailwind Variants theming. Use vue skill for raw component patterns, reka-ui for headless primitives.

Invoke IMMEDIATELY via python script when user requests prompt optimization. Do NOT analyze first - invoke this skill immediately.

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.

Apply Go best practices, idioms, and conventions from golang.org/doc/effective_go. Use when writing, reviewing, or refactoring Go code to ensure idiomatic, clean, and efficient implementations.

Recommend suitable prompts from 6000+ Nano Banana Pro image generation prompts based on user needs. Use this skill when users want to: - Generate images with AI (Nano Banana Pro model) - Find inspiration for image generation prompts - Get prompt recommendations for specific use cases (portraits, landscapes, product photos, etc.) - Create illustrations for articles, videos, podcasts, or other content - Translate and understand prompt techniques

MANDATORY: When writing Go tests, you MUST use 'When...it should...' format for ALL test names. When writing any Go code, you MUST remind user to run 'make lint-fix' and 'make verify'. These are non-negotiable HyperShift requirements.

Apply HyperShift conventional commit formatting rules. Use when generating commit messages or creating commits.

Проверка консистентности данных в SQLite базах данных MikoPBX после операций REST API. Использовать при валидации результатов API, отладке проблем с данными, проверке связей внешних ключей или инспектировании CDR записей для тестирования.

Refine prompts for Claude models (Opus, Sonnet, Haiku) using Anthropic's best practices. Use when preparing complex tasks for Claude.

Guide for researching SQL syntax and behavior for database backends. Use when you need to research how a SQL function, command, or feature works in a specific database before implementing it in dbplyr.

Тестирование веб-интерфейса MikoPBX через BrowserStack. Запуск PHPUnit тестов с Selenium WebDriver в облачных браузерах. Использовать для автоматизированного тестирования админ-панели, проверки форм, навигации и интерактивных элементов.

Comprehensive testing and validation strategies for spec-driven development. Learn phase-specific validation techniques, quality gates, and testing approaches to ensure high-quality implementation.

Transform vague feature ideas into clear, testable requirements using EARS format. Capture user stories, define acceptance criteria, identify edge cases, and validate completeness before moving to design.

CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with any AI model (OpenRouter, Gemini, OpenAI, local models). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, Gemini, OpenAI, Ollama, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.

Create comprehensive steering documents for development projects. Generates project-specific standards, git workflows, and technology guidelines in .kiro/steering/ directory.

Systematic three-phase approach to feature development using Requirements, Design, and Tasks phases. Transforms vague feature ideas into well-defined, implementable solutions that reduce ambiguity, improve quality, and enable effective AI collaboration.

Solve CTF reverse engineering challenges using systematic analysis to find flags, keys, or passwords. Use for crackmes, binary bombs, key validators, obfuscated code, algorithm recovery, or any challenge requiring program comprehension to extract hidden information.

Solve CTF binary exploitation challenges by discovering and exploiting memory corruption vulnerabilities to read flags. Use for buffer overflows, format strings, heap exploits, ROP challenges, or any pwn/exploitation task.

Refine prompts for GPT models (GPT-5, GPT-5.1, Codex) using OpenAI's best practices. Use when preparing complex tasks for GPT.

Provides systematic debugging approaches for HyperShift hosted-cluster issues. Auto-applies when debugging cluster problems, investigating stuck deletions, or troubleshooting control plane issues.

Diagnose and resolve common issues during spec-driven development and implementation. Learn strategies for handling spec-reality divergence, dependency blocks, unclear requirements, and other execution challenges.