community-automations/huggingface-paper-tracker

Research & Intel

PublicClaude subagent

HuggingFace Paper Tracker

The HuggingFace papers feed moves fast, and saved links pile up into a folder nobody ever sorts. This tracker reads each new paper as it lands and files it into a real, searchable structure.

sonnet4 daysHuggingFace PapersOpenAIPostgresNotion
ClaudeClaude
ROI for
README.md

Why this subagent

The HuggingFace papers feed moves fast, and saved links pile up into a folder nobody ever sorts. This tracker reads each new paper as it lands and files it into a real, searchable structure.

It classifies every entry into your topics, pulls out model names, datasets, and code links, and appends a tidy row to your knowledge base. Months later you can answer what came out on retrieval in March without re-reading a thing.

How it runs

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

Sample output

json
// Sample output
// (generated when the pipeline finishes)

Classify each HuggingFace paper into the provided taxonomy and return {category, subtopics[], models[], has_code} as JSON.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.