Skills Marketplace

I created managed Skills Marketplace for MCPBundler, but it also suitable for Claude Code/ Codex and other Ai tools, you can check it out on GitHub or browse here.

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Showing 39 of 39 skills

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.

Author: Hugging Face

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.

Author: Hugging Face

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

Author: OpenAI

Transform project descriptions and feature requests into comprehensive specifications and actionable task lists. Use when the user wants to: (1) Create a specification from a project/feature description, (2) Generate a detailed plan with task breakdown, (3) Clarify requirements before implementation, (4) Convert ideas into structured development plans with progress tracking. Works with or without existing codebase files.

Author: Eugene P