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Hugging Face Trending

Curates trending Hugging Face models, datasets, and spaces into a filtered daily digest.

Updated May 25, 2026
Search Tags:#curation#models#ai research#digest#datasets#trending#hugging face
One-click install
npx skills add https://github.com/Cbowcrptex/CBOWCRYPTEX --skill hugging-face-trending-cbowcrptex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Hugging Face Trending
Source: https://github.com/Cbowcrptex/CBOWCRYPTEX/tree/main/skills/huggingface-trending
Command: npx skills add https://github.com/Cbowcrptex/CBOWCRYPTEX --skill hugging-face-trending-cbowcrptex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? The Hugging Face Hub's trending page is noisy, mixing test artifacts, gated previews, and redundant fine-tunes with genuinely notable releases. This Skill filters that noise and delivers a curated slate of 5-8 AI artifacts with a one-line explanation of why each matters. ## Core Features & Use Cases - Keyless API Fetching: Pulls trending models, datasets, and spaces from the public Hugging Face REST API using curl with a WebFetch fallback. - Noise Filtering: Drops test artifacts, low-signal gated previews, trivial fine-tunes, quantization-only forks, and broken spaces. - Momentum Tagging & Clustering: Labels picks as DEBUT, ACCELERATING, RETURNING, or HOLDOVER and groups them into categories like LLMs, Multimodal, Datasets, and Spaces. - Use Case: An AI engineer wants a daily briefing on notable new open-weight models and datasets without scrolling the Hub front page; the Skill sends a formatted digest with a top pick and per-item rationale. ## Quick Start Run the Hugging Face Trending skill to send me today's curated digest of trending models, datasets, and spaces.

Frequently Asked Questions about Hugging Face Trending

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a daily digest of trending Hugging Face models?▼

Run the skill with no argument to fetch trending models, datasets, and spaces from the Hugging Face API. It filters noise, clusters survivors into categories, and sends a formatted notification with 5-8 curated picks and a top pick.

How to filter Hugging Face trending to only models or datasets?▼

Pass one of models, datasets, or spaces as the optional argument to scope the digest to a single resource type. Any other value exits with HF_TRENDING_BAD_VAR without sending a notification.

Does the Hugging Face API require an API key for trending lists?▼

No, the Hugging Face Hub list endpoints used here are keyless and public. The skill calls them with curl sorted by trendingScore, falling back to WebFetch if the sandbox blocks outbound requests.

What kinds of Hugging Face artifacts get filtered out?▼

The filter drops test and debug artifacts, gated entries with under 10 likes, trivial fine-tunes, quantization-only forks under 500 likes, broken spaces, and anything featured in the last 3 days of logs.

What happens when no trending artifacts pass the filters?▼

If fewer than 3 survivors remain, the skill sends a short quiet-day note instead of padding the digest. If all sources fail to fetch, it logs HF_TRENDING_ERROR and sends a sources-unavailable notification.

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