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Found 11,889 Skills
NestJS best practices and patterns for building scalable, maintainable backend applications. This skill should be used when writing, reviewing, or refactoring NestJS code to ensure proper architecture, security, performance, and code quality. Triggers on tasks involving NestJS modules, controllers, services, guards, pipes, middleware, Prisma database operations, authentication, or any NestJS-specific patterns.
Language-specific coding standards and validation rules. Provides Python, Go, Rust, TypeScript, Shell, YAML, JSON, and Markdown standards. Auto-loaded by /vibe, /implement, /doc, /bug-hunt, /complexity based on file types.
Defines repo layout, workflow, and full-stack architecture patterns for TypeScript applications. Use when starting a project, setting team conventions, or designing backend modules, request context, middleware, and frontend/backend boundaries.
Specifies that Aceternity UI dependencies should be considered during code generation or modification.
Master App Store deployment - Submission, TestFlight, CI/CD, release management
Choose optimal Next.js rendering strategy (SSR, SSG, ISR, CSR) based on content type, update frequency, and performance requirements. Use when deciding how to render pages, optimizing performance, or implementing data fetching. Trigger words include "rendering", "SSR", "SSG", "ISR", "static", "server-side".
Analyzes Azure costs and provides optimization recommendations including reserved instances, rightsizing, and unused resources. Use when optimizing Azure spending or analyzing Azure costs.
Creates test fixtures, mock data, and test scenarios for unit and integration tests. Use when setting up test data, creating mocks, or generating test fixtures.
Analyzes AI coding assistant sessions and generates an HTML report with workflow insights. Use this skill when the user asks to analyze sessions, generate a report, view usage patterns, check statistics, or review their coding workflow. Trigger phrases include "analyze my sessions", "generate a report", "show my stats", "how have I been using you", "session insights", "세션 분석", "리포트 생성", "사용 패턴".
Train custom TTS voices for Piper (ONNX format) using fine-tuning or from-scratch approaches. Use when creating new synthetic voices, fine-tuning existing Piper checkpoints, preparing audio datasets for TTS training, or deploying voice models to devices like Raspberry Pi or Home Assistant. Covers dataset preparation, Whisper-based validation, training configuration, and ONNX export.
Terraform and Infrastructure as Code optimization guidelines from Terramate. This skill should be used when writing, reviewing, or refactoring Terraform/OpenTofu code to ensure optimal patterns for security, maintainability, and reliability. Triggers on tasks involving Terraform modules, infrastructure provisioning, state management, or IaC optimization.
A tiny skill used by the skillloadmode example.