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Found 652 Skills
Verify and enforce coding standards, AI guidelines, and workspace compliance across repositories. Use for standards propagation, compliance verification, and enforcing development best practices.
Builds and manages iOS/macOS apps using xcodebuild and xcrun simctl CLI tools. Use when working with Xcode projects, running apps in simulators, managing simulator instances, taking screenshots, capturing logs, running tests, or automating builds.
Эксперт k6 нагрузочного тестирования. Используй для performance testing, load scenarios и stress tests.
Environment Variables Handler - Auto-activating skill for DevOps Basics. Triggers on: environment variables handler, environment variables handler Part of the DevOps Basics skill category.
Ssh Key Manager - Auto-activating skill for DevOps Basics. Triggers on: ssh key manager, ssh key manager Part of the DevOps Basics skill category.
Comprehensive mobile DevOps workflow that orchestrates mobile application development, CI/CD for mobile, app store deployment, and mobile device testing. Handles everything from mobile app build automation and testing to app store submission, monitoring, and mobile-specific DevOps practices.
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
Configure CI/CD pipelines for Documenso integrations. Use when setting up automated testing, deployment pipelines, or continuous integration for Documenso projects. Trigger with phrases like "documenso CI", "documenso GitHub Actions", "documenso pipeline", "documenso automated testing".
Use when developing custom Checkstyle checks, filters, and plugin integrations for project-specific Java code standards.
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
Comprehensive LLM audit. Model currency, prompt quality, evals, observability, CI/CD. Ensures all LLM-powered features follow best practices and are properly instrumented. Auto-invoke when: model names/versions mentioned, AI provider config, prompt changes, .env with AI keys, aiProviders.ts or prompts.ts modified, AI-related PRs. CRITICAL: Training data lags months. ALWAYS web search before LLM decisions.
Terraform infrastructure as code best practices