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eugenepyvovarov/mcpbundler-agent-skills-marketplace
Developer toolsこのページは AI により自動翻訳されています。技術的な詳細は原文をご確認ください。 原文を見る
11 stars 品質 42 トレンド 8MIT
agent skills marketplace for mcp bundler(can be used with other ai tools with support of agent skills markeplaces). some skills are mine, also borrowed skills(credited to authors)
概要
Marketplace for Agent skills curated for the MCPBundler app(https://mcpbundler.com)
README
以下は原文 README の抜粋です。原文を見る。
mcpbundler-agent-skills-marketplace
Marketplace for Agent skills curated for the MCPBundler app(https://mcpbundler.com)
Owner: eugenepyvovarov
Categories
AI/Machine Learning
| Skill | Description |
|---|---|
hf-cli |
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.Origin: https://github.com/huggingface/skills |
hf-tool-builder |
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.Origin: https://github.com/huggingface/skills |
hugging-face-evaluation-manager |
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.Origin: https://github.com/huggingface/skills |
hugging-face-paper-publisher |
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.Origin: https://github.com/huggingface/skills |
model-trainer |
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.Origin: https://github.com/huggingface/skills |
Development
| Skill | Description |
|---|---|
agent-browser |
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.Origin: https://github.com/vercel-labs/agent-browser |
推奨ツール
別のキーワードを試すか、フィルタを外してください。
インストール
npx skillfish add eugenepyvovarov/mcpbundler-agent-skills-marketplace