[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-plugin-huggingface-huggingface-papers-en":3,"guides-for-huggingface-huggingface-papers":745,"similar-k179sm2kkyd7r7nz9jsx62jm9x86mw4a-en":746},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":254,"isFallback":237,"parentExtension":258,"providers":292,"relations":296,"repo":297,"tags":743,"workflow":744},1778690773482.4834,"k179sm2kkyd7r7nz9jsx62jm9x86mw4a",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata like authors, linked models, datasets, Spaces, and media URLs when needed.",{"claudeCode":12},"huggingface-papers","Hugging Face Papers","https://github.com/huggingface/skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":235,"workflow":252},1778690901306.7302,"kn71fyg1c0f0ae9j4xfg5k66sh86n2sp","en",{"checks":20,"evaluatedAt":201,"extensionSummary":202,"features":203,"nonGoals":208,"practices":212,"prerequisites":213,"promptVersionExtension":214,"promptVersionScoring":215,"purpose":216,"rationale":217,"score":218,"summary":219,"tags":220,"targetMarket":227,"tier":228,"useCases":229,"workflow":234},[21,26,29,32,36,39,43,47,50,53,57,61,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,172,175,178,181,184,187,191,194,197],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly identifies the problem of looking up and reading Hugging Face paper pages and using their API for metadata.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers value beyond a simple API wrapper by providing structured access to paper metadata and markdown content, specifically for AI research papers.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The extension appears production-ready, offering tools to fetch markdown and structured metadata for Hugging Face paper pages, covering the stated use case.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The plugin focuses on a single domain: interacting with Hugging Face paper pages and their associated API.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the functionality described in the SKILL.md, including fetching markdown and using the papers API for metadata.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Scoped tools","The tools are narrowly scoped, focusing on specific actions like fetching markdown, metadata, models, datasets, and spaces related to papers.",{"category":44,"check":45,"severity":24,"summary":46},"Documentation","Configuration & parameter reference","All API endpoints and parameters are documented in the SKILL.md, including example curl commands and explanations of query parameters.",{"category":33,"check":48,"severity":24,"summary":49},"Tool naming","The tools are implicitly named through the API endpoints and curl commands, which are descriptive of their function (e.g., fetching metadata, searching papers).",{"category":33,"check":51,"severity":24,"summary":52},"Minimal I/O surface","The documented API endpoints and example curl commands show minimal and well-defined inputs and outputs, focused on paper-specific data.",{"category":54,"check":55,"severity":24,"summary":56},"License","License usability","The project has an Apache-2.0 license, which is a permissive open-source license and is clearly stated in the LICENSE file.",{"category":58,"check":59,"severity":24,"summary":60},"Maintenance","Commit recency","The last commit was on May 12, 2026, which is within the last 3 months.",{"category":58,"check":62,"severity":63,"summary":64},"Dependency Management","not_applicable","No third-party dependencies were detected that require specific management.",{"category":66,"check":67,"severity":24,"summary":68},"Security","Secret Management","Secrets are handled appropriately as API keys require an Authorization header, and public data does not need secret management.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill fetches data from APIs and markdown files, and the documentation implies these are treated as data, not instructions.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill primarily interacts with Hugging Face APIs and local markdown files, with no indication of runtime downloads or remote script execution.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The extension's operations involve fetching data from external APIs and processing markdown, which does not involve modifying files outside its scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","No detached process spawns or deny-retry loops were observed in the provided documentation.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The extension's primary function is to read public paper data and metadata, with no indication of exfiltrating confidential data.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The provided documentation does not contain any hidden text tricks or suspicious Unicode characters.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The plugin does not appear to use any opaque code execution methods like base64 payloads or minified bundles.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill interacts with external APIs and specified URLs, making no assumptions about the user's project structure.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","With 4 issues opened and 6 closed in the last 90 days, the closure rate is high and maintainer engagement is good.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The repository has a recent commit date (May 12, 2026) and a significant star count, indicating active development, though no explicit versioning is found in SKILL.md.",{"category":104,"check":105,"severity":24,"summary":106},"Code Execution","Validation","The API endpoints and markdown parsing are expected to have server-side validation; the curl examples imply structured data handling.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The extension is read-only and does not perform any destructive operations.",{"category":104,"check":111,"severity":24,"summary":112},"Error Handling","The SKILL.md provides specific error handling guidance for 404s and paper ID not found scenarios, suggesting a robust approach.",{"category":104,"check":114,"severity":63,"summary":115},"Logging","The extension is read-only and does not perform actions that require local audit logging.",{"category":117,"check":118,"severity":63,"summary":119},"Compliance","GDPR","The extension operates on public paper metadata and does not handle personal data.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The extension operates on Hugging Face and arXiv, which are global platforms, and there are no regional restrictions indicated.",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","The extension relies on standard API calls and markdown parsing, making it portable across different environments.",{"category":44,"check":127,"severity":24,"summary":128},"README","The README file clearly states the purpose of the Hugging Face skills repository and installation instructions.",{"category":33,"check":130,"severity":63,"summary":131},"Tool surface size","This is a plugin that bundles multiple skills. The individual skill 'huggingface-papers' provides a focused set of functionalities, and the plugin itself doesn't expose tools directly.",{"category":40,"check":133,"severity":24,"summary":134},"Overlapping near-synonym tools","The tools, implicitly defined by API endpoints, cover distinct functions related to paper lookup and metadata retrieval.",{"category":44,"check":136,"severity":24,"summary":137},"Phantom features","All documented features related to fetching paper markdown and metadata are implementable via the provided API endpoints.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","The README provides clear installation instructions for various agents (Claude Code, Codex, Gemini CLI, Cursor) and includes copy-pasteable examples.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","The SKILL.md details specific error conditions like 404s and paper ID not found, providing guidance on verification and potential fallbacks.",{"category":147,"check":148,"severity":63,"summary":149},"Execution","Pinned dependencies","No third-party dependencies are explicitly managed or bundled within this extension's scope.",{"category":33,"check":151,"severity":63,"summary":152},"Dry-run preview","The extension is read-only and does not perform state-changing operations that would require a dry-run preview.",{"category":154,"check":155,"severity":24,"summary":156},"Protocol","Idempotent retry & timeouts","The extension interacts with public APIs, which are expected to handle idempotency and timeouts appropriately. The documentation does not specify custom retry logic.",{"category":117,"check":158,"severity":24,"summary":159},"Telemetry opt-in","The extension focuses on public data retrieval and does not mention any telemetry collection; therefore, no opt-in/out concerns are present.",{"category":40,"check":161,"severity":24,"summary":162},"Name collisions","The plugin's individual skill, 'huggingface-papers', is distinct from other skills and Claude Code built-ins.",{"category":40,"check":164,"severity":63,"summary":165},"Hooks-off mechanism","This plugin does not appear to utilize hooks that would require a hooks-off mechanism.",{"category":40,"check":167,"severity":63,"summary":168},"Hook matcher tightness","There are no custom hooks declared in the plugin's `plugin.json` or `SKILL.md`.",{"category":66,"check":170,"severity":63,"summary":171},"Hook security","The plugin does not appear to use any hooks that perform destructive or network-touching operations.",{"category":88,"check":173,"severity":63,"summary":174},"Silent prompt rewriting","The plugin does not appear to have any UserPromptSubmit hooks that would rewrite prompts.",{"category":66,"check":176,"severity":63,"summary":177},"Permission Hook","There are no PermissionRequest hooks in this plugin.",{"category":117,"check":179,"severity":63,"summary":180},"Hook privacy","The plugin does not utilize hooks for logging or telemetry that would send data over the network.",{"category":104,"check":182,"severity":63,"summary":183},"Hook dependency","There are no custom hooks in this plugin that would require inspection for dependencies or readability.",{"category":44,"check":185,"severity":24,"summary":186},"Feature Transparency","The README provides a comprehensive overview of the skills and their purpose. The SKILL.md for 'huggingface-papers' details its functionality.",{"category":188,"check":189,"severity":24,"summary":190},"Convention","Layout convention adherence","The repository follows standard conventions with a SKILL.md for each skill and a README for the overall project.",{"category":188,"check":192,"severity":63,"summary":193},"Plugin state","This plugin does not manage persistent state that would require placement under CLAUDE_PLUGIN_DATA.",{"category":66,"check":195,"severity":63,"summary":196},"Keychain-stored secrets","The plugin does not handle secrets that would require keychain storage.",{"category":198,"check":199,"severity":24,"summary":200},"Installation","Clean uninstall","The plugin's functionality is primarily API-based and does not involve background daemons or services that would prevent a clean uninstall.",1778690900400,"This plugin provides access to Hugging Face paper pages, allowing users to read them in markdown and retrieve structured metadata like authors, linked models, datasets, and repositories via API calls.",[204,205,206,207],"Read Hugging Face paper pages in markdown","Fetch structured metadata via Papers API","Link to associated models, datasets, and spaces","Retrieve project page and GitHub repository URLs",[209,210,211],"Training or fine-tuning AI models.","Managing Hugging Face datasets or models directly.","Executing code or running ML jobs.",[],[],"3.0.0","4.4.0","To enable users and AI agents to easily look up, read, and extract structured information from Hugging Face's collection of AI research papers.","The extension is well-documented, secure, and adheres to all best practices. All checks passed with a 'pass' severity.",100,"A high-quality plugin for accessing Hugging Face research papers and metadata.",[221,222,223,224,225,226],"huggingface","papers","arxiv","ai","research","metadata","global","verified",[230,231,232,233],"Summarizing AI research papers for a user.","Finding models, datasets, or spaces related to a specific paper.","Analyzing AI research trends by querying paper metadata.","Explaining the technical details of a research paper.",[],{"codeQuality":236,"collectedAt":238,"documentation":239,"maintenance":242,"security":248,"testCoverage":250},{"hasLockfile":237},false,1778690874277,{"descriptionLength":240,"readmeSize":241},176,9821,{"closedIssues90d":243,"forks":244,"hasChangelog":237,"openIssues90d":245,"pushedAt":246,"stars":247},6,663,4,1778593131000,10482,{"hasNpmPackage":237,"license":249,"smitheryVerified":237},"Apache-2.0",{"hasCi":251,"hasTests":237},true,{"updatedAt":253},1778690901306,{"basePath":255,"githubOwner":221,"githubRepo":256,"locale":18,"slug":12,"type":257},"skills/huggingface-papers","skills","plugin",{"_creationTime":259,"_id":260,"community":261,"display":262,"identity":267,"parentExtension":270,"providers":271,"relations":286,"tags":288,"workflow":289},1778690773482.4824,"k17es3r8wd37t5rrwqcpp5kwrh86mxx8",{"reviewCount":8},{"description":263,"installMethods":264,"name":266,"sourceUrl":14},"Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub",{"claudeCode":265},"huggingface/skills","huggingface-skills",{"basePath":268,"githubOwner":221,"githubRepo":256,"locale":18,"slug":256,"type":269},"","marketplace",null,{"evaluate":272,"extract":280},{"promptVersionExtension":273,"promptVersionScoring":215,"score":274,"tags":275,"targetMarket":227,"tier":228},"3.1.0",95,[276,221,277,278,225,279],"ai-ml","datasets","models","developer-tools",{"commitSha":281,"marketplace":282,"plugin":284},"HEAD",{"name":266,"pluginCount":283},14,{"mcpCount":8,"provider":285,"skillCount":8},"classify",{"repoId":287},"kd72xwt5xnc0ktc4p7smzfcp3986m959",[276,277,279,221,278,225],{"evaluatedAt":290,"extractAt":291,"updatedAt":290},1778690814090,1778690773482,{"evaluate":293,"extract":295},{"promptVersionExtension":214,"promptVersionScoring":215,"score":218,"tags":294,"targetMarket":227,"tier":228},[221,222,223,224,225,226],{"commitSha":281,"license":249},{"parentExtensionId":260,"repoId":287},{"_creationTime":298,"_id":287,"identity":299,"providers":300,"workflow":739},1778689536128.5474,{"githubOwner":221,"githubRepo":256,"sourceUrl":14},{"classify":301,"discover":732,"github":735},{"commitSha":281,"extensions":302},[303,316,325,333,341,346,354,362,370,378,386,394,402,410,418,426,469,478,484,490,507,513,520,562,573,592,598,618,630,654,712],{"basePath":268,"description":263,"displayName":266,"installMethods":304,"rationale":305,"selectedPaths":306,"source":315,"sourceLanguage":18,"type":269},{"claudeCode":265},"marketplace.json at .claude-plugin/marketplace.json",[307,310,312],{"path":308,"priority":309},".claude-plugin/marketplace.json","mandatory",{"path":311,"priority":309},"README.md",{"path":313,"priority":314},"LICENSE","high","rule",{"basePath":317,"description":318,"displayName":319,"installMethods":320,"rationale":321,"selectedPaths":322,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-llm-trainer","Train or fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes hardware selection, cost estimation, Trackio monitoring, and Hub persistence.","huggingface-llm-trainer",{"claudeCode":319},"inline plugin source from marketplace.json at skills/huggingface-llm-trainer",[323],{"path":324,"priority":314},"SKILL.md",{"basePath":326,"description":327,"displayName":328,"installMethods":329,"rationale":330,"selectedPaths":331,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-local-models","Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.","huggingface-local-models",{"claudeCode":328},"inline plugin source from marketplace.json at skills/huggingface-local-models",[332],{"path":324,"priority":314},{"basePath":334,"description":335,"displayName":336,"installMethods":337,"rationale":338,"selectedPaths":339,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-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.","huggingface-paper-publisher",{"claudeCode":336},"inline plugin source from marketplace.json at skills/huggingface-paper-publisher",[340],{"path":324,"priority":314},{"basePath":255,"description":10,"displayName":12,"installMethods":342,"rationale":343,"selectedPaths":344,"source":315,"sourceLanguage":18,"type":257},{"claudeCode":12},"inline plugin source from marketplace.json at skills/huggingface-papers",[345],{"path":324,"priority":314},{"basePath":347,"description":348,"displayName":349,"installMethods":350,"rationale":351,"selectedPaths":352,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-community-evals","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 evaluations with vLLM/lighteval.","huggingface-community-evals",{"claudeCode":349},"inline plugin source from marketplace.json at skills/huggingface-community-evals",[353],{"path":324,"priority":314},{"basePath":355,"description":356,"displayName":357,"installMethods":358,"rationale":359,"selectedPaths":360,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-best","Find the best AI model for any task by querying Hugging Face leaderboards and benchmarks. Recommends top models based on task type, hardware constraints, and benchmark scores.","huggingface-best",{"claudeCode":357},"inline plugin source from marketplace.json at skills/huggingface-best",[361],{"path":324,"priority":314},{"basePath":363,"description":364,"displayName":365,"installMethods":366,"rationale":367,"selectedPaths":368,"source":315,"sourceLanguage":18,"type":257},"skills/hf-cli","Execute Hugging Face Hub operations using the hf CLI. Download models/datasets, upload files, manage repos, and run cloud compute jobs.","hf-cli",{"claudeCode":365},"inline plugin source from marketplace.json at skills/hf-cli",[369],{"path":324,"priority":314},{"basePath":371,"description":372,"displayName":373,"installMethods":374,"rationale":375,"selectedPaths":376,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-trackio","Track and visualize ML training experiments with Trackio. Log metrics via Python API and retrieve them via CLI. Supports real-time dashboards synced to HF Spaces.","huggingface-trackio",{"claudeCode":373},"inline plugin source from marketplace.json at skills/huggingface-trackio",[377],{"path":324,"priority":314},{"basePath":379,"description":380,"displayName":381,"installMethods":382,"rationale":383,"selectedPaths":384,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-datasets","Explore, query, and extract data from any Hugging Face dataset using the Dataset Viewer REST API and npx tooling. Zero Python dependencies — covers split/config discovery, row pagination, text search, filtering, SQL via parquetlens, and dataset upload via CLI.","huggingface-datasets",{"claudeCode":381},"inline plugin source from marketplace.json at skills/huggingface-datasets",[385],{"path":324,"priority":314},{"basePath":387,"description":388,"displayName":389,"installMethods":390,"rationale":391,"selectedPaths":392,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-tool-builder","Build reusable scripts for Hugging Face Hub and API workflows. Useful for chaining API calls, enriching Hub metadata, or automating repeated tasks.","huggingface-tool-builder",{"claudeCode":389},"inline plugin source from marketplace.json at skills/huggingface-tool-builder",[393],{"path":324,"priority":314},{"basePath":395,"description":396,"displayName":397,"installMethods":398,"rationale":399,"selectedPaths":400,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-gradio","Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.","huggingface-gradio",{"claudeCode":397},"inline plugin source from marketplace.json at skills/huggingface-gradio",[401],{"path":324,"priority":314},{"basePath":403,"description":404,"displayName":405,"installMethods":406,"rationale":407,"selectedPaths":408,"source":315,"sourceLanguage":18,"type":257},"skills/transformers-js","Run state-of-the-art machine learning models directly in JavaScript/TypeScript for NLP, computer vision, audio processing, and multimodal tasks. Works in Node.js and browsers with WebGPU/WASM using Hugging Face models.","transformers-js",{"claudeCode":405},"inline plugin source from marketplace.json at skills/transformers-js",[409],{"path":324,"priority":314},{"basePath":411,"description":412,"displayName":413,"installMethods":414,"rationale":415,"selectedPaths":416,"source":315,"sourceLanguage":18,"type":257},"skills/huggingface-vision-trainer","Train and fine-tune object detection models (RTDETRv2, YOLOS, DETR and others) and image classification models (timm and transformers models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3) using Transformers Trainer API on Hugging Face Jobs infrastructure or locally. Includes COCO dataset format support, Albumentations augmentation, mAP/mAR metrics, trackio tracking, hardware selection, and Hub persistence.","huggingface-vision-trainer",{"claudeCode":413},"inline plugin source from marketplace.json at skills/huggingface-vision-trainer",[417],{"path":324,"priority":314},{"basePath":419,"description":420,"displayName":421,"installMethods":422,"rationale":423,"selectedPaths":424,"source":315,"sourceLanguage":18,"type":257},"skills/train-sentence-transformers","Train or fine-tune sentence-transformers models across all three architectures: SentenceTransformer (bi-encoder embeddings), CrossEncoder (rerankers), and SparseEncoder (SPLADE). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing.","train-sentence-transformers",{"claudeCode":421},"inline plugin source from marketplace.json at skills/train-sentence-transformers",[425],{"path":324,"priority":314},{"basePath":268,"description":263,"displayName":266,"installMethods":427,"license":249,"rationale":428,"selectedPaths":429,"source":315,"sourceLanguage":18,"type":257},{"claudeCode":266},"plugin manifest at .claude-plugin/plugin.json",[430,432,433,434,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467],{"path":431,"priority":309},".claude-plugin/plugin.json",{"path":311,"priority":309},{"path":313,"priority":314},{"path":435,"priority":436},"skills/hf-cli/SKILL.md","medium",{"path":438,"priority":436},"skills/huggingface-best/SKILL.md",{"path":440,"priority":436},"skills/huggingface-community-evals/SKILL.md",{"path":442,"priority":436},"skills/huggingface-datasets/SKILL.md",{"path":444,"priority":436},"skills/huggingface-gradio/SKILL.md",{"path":446,"priority":436},"skills/huggingface-llm-trainer/SKILL.md",{"path":448,"priority":436},"skills/huggingface-local-models/SKILL.md",{"path":450,"priority":436},"skills/huggingface-paper-publisher/SKILL.md",{"path":452,"priority":436},"skills/huggingface-papers/SKILL.md",{"path":454,"priority":436},"skills/huggingface-tool-builder/SKILL.md",{"path":456,"priority":436},"skills/huggingface-trackio/SKILL.md",{"path":458,"priority":436},"skills/huggingface-vision-trainer/SKILL.md",{"path":460,"priority":436},"skills/train-sentence-transformers/SKILL.md",{"path":462,"priority":436},"skills/transformers-js/SKILL.md",{"path":464,"priority":309},".mcp.json",{"path":466,"priority":314},"agents/AGENTS.md",{"path":468,"priority":314},".cursor-plugin/plugin.json",{"basePath":470,"description":471,"displayName":472,"installMethods":473,"rationale":474,"selectedPaths":475,"source":315,"sourceLanguage":18,"type":477},"hf-mcp/skills/hf-mcp","Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.","hf-mcp",{"claudeCode":265},"SKILL.md frontmatter at hf-mcp/skills/hf-mcp/SKILL.md",[476],{"path":324,"priority":309},"skill",{"basePath":363,"description":479,"displayName":365,"installMethods":480,"rationale":481,"selectedPaths":482,"source":315,"sourceLanguage":18,"type":477},"Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.",{"claudeCode":265},"SKILL.md frontmatter at skills/hf-cli/SKILL.md",[483],{"path":324,"priority":309},{"basePath":355,"description":485,"displayName":357,"installMethods":486,"rationale":487,"selectedPaths":488,"source":315,"sourceLanguage":18,"type":477},"Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: \"best model for X\", \"what model should I use for\", \"top models for [task]\", \"which model runs on my laptop/machine/device\", \"recommend a model for\", \"what LLM should I use for\", \"compare models for\", \"what's state of the art for\", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.\n",{"claudeCode":265},"SKILL.md frontmatter at skills/huggingface-best/SKILL.md",[489],{"path":324,"priority":309},{"basePath":347,"description":491,"displayName":349,"installMethods":492,"rationale":493,"selectedPaths":494,"source":315,"sourceLanguage":18,"type":477},"Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. 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