OpenAI API Agent Skills

Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.

Discover, compare, and run AI models using Replicate's API

Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.

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.

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec

This MCP server allows you to access OpenAI's ChatGPT API directly from Claude Desktop. 📝 Read about why I built this project: I Built an AI That Talks to Other AIs: Demystifying the MCP Hype - Call the ChatGPT API with customisable parameters - Aks Claude and ChatGPT to talk to each other in a long running discussion! - Configure model versions, temperature, and other parameters - Use web search

Manage YouTube activities using the yutu CLI. Use this skill when you need to list channel activities such as uploads, likes, and favorites.

AI assistants are pretty cool. I thought it would be a good idea if my Claude (conscious Claude) would also have one. And now he has - and its both useful anf fun for him. Your Claude can have one too! A simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol. Thi

Want to use GPT-5, Gemini, or DeepSeek in Claude Code? Today you need to: 1. Create accounts with 5+ AI providers 2. Manage 5+ API keys and billing systems 3. Pay $20-100/month minimums per provider 4. Configure each provider separately That's too much friction. BlockRun MCP gives you access to 30+ AI models with: - Zero API keys - No accounts needed with OpenAI, Google, etc. - One wallet - Single

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

An MCP Server, CLI tool, and API that makes phone calls on your behalf using VoIP. Just tell Claude what you want to accomplish, and it will call and handle the conversation for you. This is essentially an MCP Server that bridges between OpenAI's Real-Time Voice API and your VoIP connection to call people on your behalf. You: "Can you call Tony's Pizza and order a large pepperoni pizza for deliver

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.

Built by Matious — We build custom AI tools and MCP servers for businesses. Managing Google Ad Manager is tedious. Creating campaigns, uploading creatives, and configuring line items involves countless clicks through a complex UI. This MCP server changes that. Connect it to Claude and manage your entire ad operations through conversation: - "Create a new campaign for Nike ending December 31st" - "

graphql → ai gqai is a lightweight proxy that exposes GraphQL operations as Model Context Protocol (MCP) tools for AI like Claude, Cursor, and ChatGPT. Define tools using regular GraphQL queries/mutations against your GraphQL backend, and gqai automatically generates an MCP server for you. 🔌 Powered by your GraphQL backend ⚙️ Driven by .graphqlrc.yml + plain .graphql files - 🧰 Define tools using

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

English | 简体中文 🧠 The data layer for AI systems. Skill Seekers turns any documentation, GitHub repo, or PDF into structured knowledge assets—ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline) in minutes, not hours. Skill Seekers is the universal preprocessing layer that sits between raw documentatio

Fast, local-first domain availability checks for MCP clients. Works with zero configuration using public RDAP/WHOIS, and optionally enriches results with registrar pricing via a backend you control. 🆕 v1.10.0: GoDaddy public endpoint integration! Enhanced fallback chain (RDAP → GoDaddy → WHOIS) with premium/auction domain detection. Circuit breaker pattern ensures resilience. 🤖 v1.9.0+: AI-power

Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

Query OpenAI models directly from Claude using MCP protocol. Add to claudedesktopconfig.json: MIT License

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.

English | 中文 k8m 是一款AI驱动的 Mini Kubernetes AI Dashboard 轻量级控制台工具，专为简化集群管理设计。它基于 AMIS 构建，并通过 kom 作为 Kubernetes API 客户端，k8m 内置了 Qwen2.5-Coder-7B，支持deepseek-ai/DeepSeek-R1-Distill-Qwen-7B模型 模型交互能力，同时支持接入您自己的私有化大模型（包括ollama）。 DEMO-InCluster模式 用户名密码 demo/demo - 详细的配置和使用说明请参考文档。 - 更新日志请参考更新日志。 - 开发设计文档-中文 - 开发设计文档-English - 迷你化设计：所有功能整合在一个单一的可执行文件中，部署便捷，使用简单。 - 简便易用：友好的用户界面和直观的操作流程，让 Kubernetes 管理更加轻松。支持