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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.
$ npx -y skills add waybarrios/opencode-power-pack --skill huggingface-paper-publisher --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/huggingface-paper-publisherContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: huggingface-paper-publisher description: 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. license: Apache-2.0 (modified; see UPSTREAMS.json)
Publish, manage, and link research papers on the Hugging Face Hub — arXiv indexing, model/dataset linking, authorship management, and professional markdown research-article generation.
Paper Pages (index/discover), arXiv integration (auto-indexing from arXiv IDs), model/dataset linking via metadata, authorship verification, and a research-article template.
The included `scripts/paper_manager.py` uses PEP 723 inline dependencies — prefer `uv run` over manual environment setup. Requires `HF_TOKEN` (write access) in the environment. **All paths in the commands below are relative to this skill's directory** — `cd` there first, or use the full path.
**Index a paper from arXiv** (or visit `https://huggingface.co/papers/{arxiv-id}` directly):
uv run scripts/paper_manager.py index --arxiv-id "2301.12345" uv run scripts/paper_manager.py check --arxiv-id "2301.12345" # check if already indexed
**Link a paper to a model/dataset/space** — the Hub extracts the arXiv ID and adds an `arxiv:<PAPER_ID>` tag, making the repo discoverable from the Paper Page:
uv run scripts/paper_manager.py link \ --repo-id "username/repo-name" --repo-type "model|dataset|space" \ --arxiv-id "2301.12345" [--arxiv-ids "id1,id2,id3"] \ [--citation "Full citation text"] [--create-pr]
**Claim authorship** (or manually: visit the paper page, click your name, "Claim authorship", await admin verification):
uv run scripts/paper_manager.py claim --arxiv-id "2301.12345" --email "your.email@institution.edu" uv run scripts/paper_manager.py check-authorship --arxiv-id "2301.12345"
**Manage profile visibility** (or via account settings → Papers):
uv run scripts/paper_manager.py list-my-papers uv run scripts/paper_manager.py toggle-visibility --arxiv-id "2301.12345" --show true|false
**Create a research article** from a template (`standard` — traditional structure; `modern` — Distill-inspired, dynamic TOC, responsive; `arxiv` — arXiv-style; `ml-report` — ML experiment report):
uv run scripts/paper_manager.py create \ --template "standard|modern|arxiv|ml-report" --title "Paper Title" \ [--authors "Author1, Author2"] [--abstract "Abstract text"] [--output "paper.md"] uv run scripts/paper_manager.py convert --input "paper.md" --output "paper.html" [--style "modern|classic"]
**Search, inspect, validate:**
uv run scripts/paper_manager.py search --query "transformer attention" uv run scripts/paper_manager.py info --arxiv-id "2301.12345" --format "json" uv run scripts/paper_manager.py citation --arxiv-id "2301.12345" --format "bibtex" uv run scripts/paper_manager.py validate --repo-id "username/model-name" --repo-type "model"
--- title: Your Paper Title authors: Jane Doe, John Smith affiliations: University X, Lab Y date: 2025-01-15 arxiv: 2301.12345 tags: [machine-learning, nlp, fine-tuning] --- # Abstract # 1. Introduction # 2. Related Work # 3. Methodology # 4. Experiments # 5. Results # 6. Discussion # 7. Conclusion # References
The `modern` template adds a dynamic table of contents, responsive layout, code highlighting, interactive figures, LaTeX math, and citation/author-affiliation linking.
Model and dataset cards need proper frontmatter for the Hub to extract the arXiv tag correctly:
--- language: [en] license: apache-2.0 tags: [text-generation, transformers, llm] library_name: transformers ---
Followed by a `# Model Name` section referencing `[Our Paper](https://arxiv.org/abs/2301.12345)` and a `## Citation` section with a fenced `bibtex` block containing the standard `@article{...}` entry (author, title, journal, year).
Dataset cards follow the same pattern with `task_categories`/`size_categories` instead of `library_name`.
**Publish new research:** create the article -> submit to arXiv externally -> `index` -> `link` to the model -> `claim` authorship.
**Link an existing paper to multiple repos:** `check` -> `index` if needed -> `link` once per model/dataset/space repo-id.
**Update a model with a paper reference:** `hf download user/model README.md` -> `link` with `--citation` — the script adds YAML metadata if missing, inserts the arXiv link, adds the formatted citation, and preserves existing content.
**Batch-link multiple papers to one repo:**
for arxiv_id in "2301.12345" "2302.67890"; do uv run scripts/paper_manager.py link --repo-id "username/model-name" --repo-type "model" --arxiv-id "$arxiv_id" done
Index papers as soon as published; keep citations consistent across related repos. Add YAML frontmatter with correct license and task tags to every card. Claim authorship with an institutional email and keep visibility settings current. Link papers to every relevant model/dataset/Space, with BibTeX citations. Use one template consistently within a project, and include code/data links.
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