Top DevOps and cloud skills for deployment, infrastructure, Docker, Kubernetes, and CI/CD workflows.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Build serverless applications with Azure Functions. Create HTTP triggers, queue processors, timer functions, and durable orchestrations. Use for event-driven computing, API backends, and serverless microservices on Azure.
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.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
MCP Builder - это инструмент для построения серверов, следующих протоколу контекста модели
FastMCP - это фреймворк разработки для серверов MCP
Translates Figma designs into production-ready code with 1:1 visual fidelity. Use when implementing UI from Figma files, when user mentions implement design, generate code, implement component, build Figma design, provides Figma URLs, or asks to build components matching Figma specs. Requires Figma MCP server connection.
High-performance CLI trading bot and MCP server for the DeepDex protocol. Enables spot/perpetual trading, wallet management, subaccount operations, and automated trading strategies. Use when building features, fixing bugs, or extending the trading bot.
This skill enables AI agents to orchestrate the DHTI development workflow by installing elixirs and conches, and starting a fully functional DHTI server with all components installed using Docker.
Creates ./scripts/verify.sh, a standardized verification script that runs tests, linting, formatting, and type checking. Use when setting up a new project, creating CI/CD pipelines, or when ./scripts/verify.sh is missing.