Agent Skills › Prismer-AI/Prismer › hf-papers

hf-papers

GitHub

浏览、搜索和分析Hugging Face Papers上的论文，支持发现热门论文、关键词检索、查看元数据及社区讨论。

docker/plugin/prismer-workspace/skills/hf-papers/SKILL.md Prismer-AI/Prismer

Trigger Scenarios

用户想查找机器学习研究论文询问最近的AI论文或趋势模型提及Hugging Face Papers

Install

npx skills add Prismer-AI/Prismer --skill hf-papers -g -y

More Options

Non-standard path

npx skills add https://github.com/Prismer-AI/Prismer/tree/main/docker/plugin/prismer-workspace/skills/hf-papers -g -y

Use without installing

npx skills use Prismer-AI/Prismer@hf-papers

指定 Agent (Claude Code)

npx skills add Prismer-AI/Prismer --skill hf-papers -a claude-code -g -y

安装 repo 全部 skill

npx skills add Prismer-AI/Prismer --all -g -y

预览 repo 内 skill

npx skills add Prismer-AI/Prismer --list

SKILL.md

Frontmatter

{
    "name": "hf-papers",
    "metadata": {
        "openclaw": {
            "tags": [
                "huggingface",
                "research",
                "academic",
                "papers",
                "trending"
            ],
            "emoji": "🤗",
            "requires": {
                "os": [
                    "darwin",
                    "linux",
                    "win32"
                ],
                "bins": []
            }
        }
    },
    "description": "Browse trending papers, search by keyword, and get paper details from Hugging Face Papers. Use when the user wants to find ML research, asks about recent AI papers, trending models, or mentions Hugging Face Papers."
}

hf-papers

Browse, search, and analyze papers from the Hugging Face Papers platform.

Process

Discover — Use hf_daily_papers to see what's trending today
Search — Use hf_search_papers to find papers on a topic
Inspect — Use hf_paper_detail to get full metadata for a specific paper
Discuss — Use hf_paper_comments to read community discussion
Deep read — Use arxiv_fetch (from arxiv-reader) with the paper's arXiv ID for full text

Tools

hf_daily_papers — Get trending papers. Params: limit (default: 20), sort (upvotes or date)
hf_search_papers — Search by keyword. Params: query (required)
hf_paper_detail — Get paper metadata. Params: paper_id (required, arXiv ID)
hf_paper_comments — Get discussion comments. Params: paper_id (required)