DevOps 및 클라우드

lekman

Content-addressed image storage and distribution using Cloudflare CDN with Azure backend.

Vero-Ventures

Vercel CLI는 Vercel 배포를 관리하는 명령줄 도구입니다

SARAMALI15792

Generate ROS 2 Python launch files and multi-node system configurations for educational content. This skill should be used when creating lessons that teach launch file syntax, writing exercises involving multi-node startup, parameter configuration, or generating worked examples for robot system deployment.

HouseGarofalo

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.

majiayu000

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.

GaitanS

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.

chicanoandres702

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.

synqing

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.

ancoleman

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.

xenitV1

MCP Builder는 AI 도구 서버를 구축하는 데 사용되는 도구로, AI 시스템과 외부 도구 및 데이터 소스를 연결하는 것을 지원합니다

enuno

FastMCP 개발은 FastMCP 프레임워크를 사용하여 모델 컨텍스트 프로토콜(MCP) 서버를 생성 또는 수정하는 과정

figma

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.