Total 31,312 skills
Showing 12 of 31312 skills
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks. Triggers: "image analysis", "computer vision", "OCR", "object detection", "ImageAnalysisClient", "image caption".
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. Triggers: "azure-ai-contentsafety", "ContentSafetyClient", "content moderation", "harmful content", "text analysis", "image analysis".
Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching. Triggers: "azure-identity", "DefaultAzureCredential", "authentication", "managed identity", "service principal", "credential".
后端微服务开发规范，涵盖目录结构、分层架构（API/Service/DAO）、依赖注入、配置管理、Spring Boot 最佳实践。当用户进行后端开发、创建新微服务、编写 Kotlin/Java 代码或设计服务架构时使用。
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
Orchestrates comprehensive performance audits across full-stack monorepos. Coordinates performance-expert, design-consistency-auditor, accessibility, security-expert, and qa-reviewer skills to audit frontend, backend, database, browser extensions, and shared packages.
Tailwind CSS debugging and troubleshooting guide for common issues and solutions
Validate Clerk authentication configuration and detect deprecated patterns. Ensures proper proxy.ts usage (Next.js 16), ClerkProvider setup, and modern auth patterns. Use before any Clerk work or when auditing existing auth implementations.
Spec-Driven Development methodology for AI-assisted development. Use when working in a LeanSpec project.
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt
Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".