[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-plugin-huggingface-huggingface-gradio-zh-CN":3,"guides-for-huggingface-huggingface-gradio":749,"similar-k17d14kty8pzk8t0pf88jfj8ax86mr5j-zh-CN":750},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":14,"identity":256,"isFallback":253,"parentExtension":261,"providers":296,"relations":300,"repo":301,"tags":747,"workflow":748},1778690773482.485,"k17d14kty8pzk8t0pf88jfj8ax86mr5j",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13},"Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.",{"claudeCode":12},"huggingface-gradio","https://github.com/huggingface/skills",{"_creationTime":15,"_id":16,"extensionId":5,"locale":17,"result":18,"trustSignals":237,"workflow":254},1778691060509.3015,"kn78g53pk5sx1rx79yr405a10d86ndbp","en",{"checks":19,"evaluatedAt":204,"extensionSummary":205,"features":206,"nonGoals":213,"promptVersionExtension":217,"promptVersionScoring":218,"purpose":219,"rationale":220,"score":221,"summary":222,"tags":223,"targetMarket":230,"tier":231,"useCases":232},[20,25,28,31,35,38,43,47,50,53,57,61,64,68,71,74,77,80,83,86,90,94,98,102,106,109,112,115,119,122,125,128,131,134,137,141,145,149,152,156,159,162,165,168,171,174,177,180,183,186,190,193,196,200],{"category":21,"check":22,"severity":23,"summary":24},"Practical Utility","Problem relevance","pass","The description clearly states the problem of building Gradio web UIs and demos and when to use the skill.",{"category":21,"check":26,"severity":23,"summary":27},"Unique selling proposition","The skill provides specific guidance and examples for Gradio, going beyond basic Python UI development and offering value over general prompting.",{"category":21,"check":29,"severity":23,"summary":30},"Production readiness","The skill covers the core Gradio API, common components, event listeners, and provides CLI interaction examples, enabling its use in a development workflow.",{"category":32,"check":33,"severity":23,"summary":34},"Scope","Single responsibility principle","The skill focuses exclusively on Gradio web UI development in Python, adhering to a single domain.",{"category":32,"check":36,"severity":23,"summary":37},"Description quality","The displayed description accurately reflects the skill's capabilities in building Gradio web UIs and demos.",{"category":39,"check":40,"severity":41,"summary":42},"Invocation","Scoped tools","not_applicable","This extension is a plugin and does not expose individual tools in the same way a skill or command-line tool does. The evaluation is not applicable at this level.",{"category":44,"check":45,"severity":23,"summary":46},"Documentation","Configuration & parameter reference","The SKILL.md provides detailed signatures for key Gradio components and event listeners, effectively documenting parameters and their usage.",{"category":32,"check":48,"severity":41,"summary":49},"Tool naming","This is a plugin, not a set of distinct tools with user-facing names.",{"category":32,"check":51,"severity":41,"summary":52},"Minimal I/O surface","This plugin does not expose individual tools with specific I/O surfaces.",{"category":54,"check":55,"severity":23,"summary":56},"License","License usability","The bundled LICENSE file is Apache-2.0, a permissive open-source license.",{"category":58,"check":59,"severity":23,"summary":60},"Maintenance","Commit recency","The latest commit was on 2026-05-12, indicating recent maintenance.",{"category":58,"check":62,"severity":41,"summary":63},"Dependency Management","No explicit third-party dependencies are managed or listed within the provided source files for this specific skill.",{"category":65,"check":66,"severity":41,"summary":67},"Security","Secret Management","This skill does not appear to handle any secrets.",{"category":65,"check":69,"severity":23,"summary":70},"Injection","The skill focuses on providing API usage guidance and examples for Gradio, with no indication of loading or executing untrusted third-party data as instructions.",{"category":65,"check":72,"severity":23,"summary":73},"Transitive Supply-Chain Grenades","The skill content is self-contained and does not fetch external resources at runtime; all code and documentation are bundled.",{"category":65,"check":75,"severity":23,"summary":76},"Sandbox Isolation","The skill content is documentation and Python code examples, which do not interact with the file system or external resources in a way that would violate sandbox isolation.",{"category":65,"check":78,"severity":23,"summary":79},"Sandbox escape primitives","No detached-process spawns or deny-retry loops are present in the provided skill content.",{"category":65,"check":81,"severity":23,"summary":82},"Data Exfiltration","The skill content does not contain any instructions to read or submit confidential data to a third party.",{"category":65,"check":84,"severity":23,"summary":85},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks; all prose is clean and printable.",{"category":87,"check":88,"severity":23,"summary":89},"Hooks","Opaque code execution","The skill content is plain, readable Python code and markdown, with no obfuscation or runtime fetched code.",{"category":91,"check":92,"severity":23,"summary":93},"Portability","Structural Assumption","The skill content does not make structural assumptions about the user's project organization outside of the provided examples.",{"category":95,"check":96,"severity":23,"summary":97},"Trust","Issues Attention","4 issues opened and 6 closed in the last 90 days, with a closure rate of approximately 60%, indicating good maintainer engagement.",{"category":99,"check":100,"severity":23,"summary":101},"Versioning","Release Management","The repository has recent commits and the `pushedAt` date is recent, indicating active development.",{"category":103,"check":104,"severity":41,"summary":105},"Code Execution","Validation","This skill primarily contains documentation and examples; there are no executable scripts or tools requiring input validation.",{"category":65,"check":107,"severity":23,"summary":108},"Unguarded Destructive Operations","The skill content does not include any destructive operations.",{"category":103,"check":110,"severity":41,"summary":111},"Error Handling","As this skill primarily provides documentation and examples, there are no custom error paths to evaluate.",{"category":103,"check":113,"severity":41,"summary":114},"Logging","This skill is read-only and does not perform actions that require logging.",{"category":116,"check":117,"severity":41,"summary":118},"Compliance","GDPR","The skill does not operate on data that could include personal data.",{"category":116,"check":120,"severity":23,"summary":121},"Target market","The skill is general Python programming for Gradio and has no regional or jurisdictional logic; targetMarket is global.",{"category":91,"check":123,"severity":23,"summary":124},"Runtime stability","The skill content is standard Python and Gradio code, which should be stable across different POSIX-compliant environments.",{"category":44,"check":126,"severity":23,"summary":127},"README","The README file clearly states the repository's purpose and how to use the skills.",{"category":32,"check":129,"severity":41,"summary":130},"Tool surface size","This is a plugin with skills, not a direct exposure of tools.",{"category":39,"check":132,"severity":41,"summary":133},"Overlapping near-synonym tools","This is a plugin and does not expose individual tools with potentially overlapping names.",{"category":44,"check":135,"severity":23,"summary":136},"Phantom features","All documented Gradio features and components in the SKILL.md have corresponding explanations and code examples.",{"category":138,"check":139,"severity":23,"summary":140},"Install","Installation instruction","The README provides clear installation instructions for various coding agents, including Claude Code and Codex, with copy-paste examples.",{"category":142,"check":143,"severity":41,"summary":144},"Errors","Actionable error messages","This skill provides documentation and examples; it does not have custom error paths visible to the user.",{"category":146,"check":147,"severity":41,"summary":148},"Execution","Pinned dependencies","The skill itself does not bundle external dependencies requiring pinning; it relies on the user's Gradio installation.",{"category":32,"check":150,"severity":41,"summary":151},"Dry-run preview","This skill provides documentation and examples, not state-changing commands.",{"category":153,"check":154,"severity":41,"summary":155},"Protocol","Idempotent retry & timeouts","The skill does not implement any network calls or state-changing operations that would require idempotency or timeouts.",{"category":116,"check":157,"severity":41,"summary":158},"Telemetry opt-in","The skill does not emit telemetry.",{"category":39,"check":160,"severity":41,"summary":161},"Name collisions","This plugin bundles skills, and the specific skill evaluated (`huggingface-gradio`) is distinct and does not appear to have name collisions with other bundled skills or built-ins.",{"category":39,"check":163,"severity":41,"summary":164},"Hooks-off mechanism","This extension is a plugin, but the provided source does not indicate the presence of hooks that would require a hooks-off mechanism.",{"category":39,"check":166,"severity":41,"summary":167},"Hook matcher tightness","No hooks are present in the provided source files for this plugin.",{"category":65,"check":169,"severity":41,"summary":170},"Hook security","There are no hooks present in the provided source files for this plugin.",{"category":87,"check":172,"severity":41,"summary":173},"Silent prompt rewriting","This plugin does not contain any UserPromptSubmit hooks.",{"category":65,"check":175,"severity":41,"summary":176},"Permission Hook","This plugin does not contain any PermissionRequest hooks.",{"category":116,"check":178,"severity":41,"summary":179},"Hook privacy","There are no hooks in this plugin that handle logging or telemetry.",{"category":103,"check":181,"severity":41,"summary":182},"Hook dependency","There are no hooks in this plugin.",{"category":44,"check":184,"severity":23,"summary":185},"Feature Transparency","The SKILL.md clearly describes the Gradio skill's capabilities, including its core patterns and component signatures.",{"category":187,"check":188,"severity":23,"summary":189},"Convention","Layout convention adherence","The repository follows Claude Code plugin structural conventions, with `plugin.json` and `SKILL.md` files appropriately placed.",{"category":187,"check":191,"severity":41,"summary":192},"Plugin state","This plugin does not appear to have persistent state that would need to be managed under CLAUDE_PLUGIN_DATA.",{"category":65,"check":194,"severity":41,"summary":195},"Keychain-stored secrets","This plugin does not handle any secrets that would require keychain storage.",{"category":197,"check":198,"severity":41,"summary":199},"Dependencies","Tagged release sourcing","The plugin does not bundle any MCP servers or external dependencies with source declarations.",{"category":201,"check":202,"severity":23,"summary":203},"Installation","Clean uninstall","The plugin does not appear to install any background daemons or persistent services that would survive an uninstall.",1778691060320,"This plugin provides the `huggingface-gradio` skill, enabling users to build Gradio web UIs and demos in Python. It covers core Gradio concepts like the Interface, Blocks, ChatInterface, key component signatures, event listeners, and custom HTML components, along with CLI prediction commands.",[207,208,209,210,211,212],"Build Gradio web UIs and demos in Python","Create/edit Gradio apps, components, event listeners, and layouts","Develop Gradio chatbots","Utilize core Gradio patterns (Interface, Blocks, ChatInterface)","Understand key component signatures and event listeners","Interact with Gradio apps via CLI prediction commands",[214,215,216],"Developing applications in languages other than Python.","Building generic Python web applications not using Gradio.","Advanced Gradio deployment strategies beyond basic sharing.","3.0.0","4.4.0","To empower developers to easily create interactive web UIs and demonstrations for machine learning models using the Gradio library in Python.","No critical or warning findings were identified. The score is high due to the overall quality and adherence to best practices.",98,"High-quality plugin for building Gradio web UIs and demos with comprehensive documentation and examples.",[224,225,226,227,228,229],"python","web-development","ui","machine-learning","demo","gradio","global","verified",[233,234,235,236],"When creating new Gradio applications or demos.","When editing or extending existing Gradio interfaces.","When developing interactive chatbots with Gradio.","When needing to understand and use specific Gradio components and event handling.",{"codeQuality":238,"collectedAt":240,"documentation":241,"maintenance":244,"security":250,"testCoverage":252},{"hasLockfile":239},false,1778691032931,{"descriptionLength":242,"readmeSize":243},134,9821,{"closedIssues90d":245,"forks":246,"hasChangelog":239,"openIssues90d":247,"pushedAt":248,"stars":249},6,663,4,1778593131000,10482,{"hasNpmPackage":239,"license":251,"smitheryVerified":239},"Apache-2.0",{"hasCi":253,"hasTests":239},true,{"updatedAt":255},1778691060509,{"basePath":257,"githubOwner":258,"githubRepo":259,"locale":17,"slug":12,"type":260},"skills/huggingface-gradio","huggingface","skills","plugin",{"_creationTime":262,"_id":263,"community":264,"display":265,"identity":270,"parentExtension":273,"providers":274,"relations":290,"tags":292,"workflow":293},1778690773482.4824,"k17es3r8wd37t5rrwqcpp5kwrh86mxx8",{"reviewCount":8},{"description":266,"installMethods":267,"name":269,"sourceUrl":13},"Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub",{"claudeCode":268},"huggingface/skills","huggingface-skills",{"basePath":271,"githubOwner":258,"githubRepo":259,"locale":17,"slug":259,"type":272},"","marketplace",null,{"evaluate":275,"extract":284},{"promptVersionExtension":276,"promptVersionScoring":218,"score":277,"tags":278,"targetMarket":230,"tier":231},"3.1.0",95,[279,258,280,281,282,283],"ai-ml","datasets","models","research","developer-tools",{"commitSha":285,"marketplace":286,"plugin":288},"HEAD",{"name":269,"pluginCount":287},14,{"mcpCount":8,"provider":289,"skillCount":8},"classify",{"repoId":291},"kd72xwt5xnc0ktc4p7smzfcp3986m959",[279,280,283,258,281,282],{"evaluatedAt":294,"extractAt":295,"updatedAt":294},1778690814090,1778690773482,{"evaluate":297,"extract":299},{"promptVersionExtension":217,"promptVersionScoring":218,"score":221,"tags":298,"targetMarket":230,"tier":231},[224,225,226,227,228,229],{"commitSha":285},{"parentExtensionId":263,"repoId":291},{"_creationTime":302,"_id":291,"identity":303,"providers":304,"workflow":743},1778689536128.5474,{"githubOwner":258,"githubRepo":259,"sourceUrl":13},{"classify":305,"discover":736,"github":739},{"commitSha":285,"extensions":306},[307,320,329,337,345,353,361,369,377,385,393,401,406,414,422,430,473,482,488,494,511,517,524,566,577,596,602,622,634,658,716],{"basePath":271,"description":266,"displayName":269,"installMethods":308,"rationale":309,"selectedPaths":310,"source":319,"sourceLanguage":17,"type":272},{"claudeCode":268},"marketplace.json at .claude-plugin/marketplace.json",[311,314,316],{"path":312,"priority":313},".claude-plugin/marketplace.json","mandatory",{"path":315,"priority":313},"README.md",{"path":317,"priority":318},"LICENSE","high","rule",{"basePath":321,"description":322,"displayName":323,"installMethods":324,"rationale":325,"selectedPaths":326,"source":319,"sourceLanguage":17,"type":260},"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":323},"inline plugin source from marketplace.json at skills/huggingface-llm-trainer",[327],{"path":328,"priority":318},"SKILL.md",{"basePath":330,"description":331,"displayName":332,"installMethods":333,"rationale":334,"selectedPaths":335,"source":319,"sourceLanguage":17,"type":260},"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":332},"inline plugin source from marketplace.json at skills/huggingface-local-models",[336],{"path":328,"priority":318},{"basePath":338,"description":339,"displayName":340,"installMethods":341,"rationale":342,"selectedPaths":343,"source":319,"sourceLanguage":17,"type":260},"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":340},"inline plugin source from marketplace.json at skills/huggingface-paper-publisher",[344],{"path":328,"priority":318},{"basePath":346,"description":347,"displayName":348,"installMethods":349,"rationale":350,"selectedPaths":351,"source":319,"sourceLanguage":17,"type":260},"skills/huggingface-papers","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.","huggingface-papers",{"claudeCode":348},"inline plugin source from marketplace.json at skills/huggingface-papers",[352],{"path":328,"priority":318},{"basePath":354,"description":355,"displayName":356,"installMethods":357,"rationale":358,"selectedPaths":359,"source":319,"sourceLanguage":17,"type":260},"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":356},"inline plugin source from marketplace.json at skills/huggingface-community-evals",[360],{"path":328,"priority":318},{"basePath":362,"description":363,"displayName":364,"installMethods":365,"rationale":366,"selectedPaths":367,"source":319,"sourceLanguage":17,"type":260},"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":364},"inline plugin source from marketplace.json at skills/huggingface-best",[368],{"path":328,"priority":318},{"basePath":370,"description":371,"displayName":372,"installMethods":373,"rationale":374,"selectedPaths":375,"source":319,"sourceLanguage":17,"type":260},"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":372},"inline plugin source from marketplace.json at skills/hf-cli",[376],{"path":328,"priority":318},{"basePath":378,"description":379,"displayName":380,"installMethods":381,"rationale":382,"selectedPaths":383,"source":319,"sourceLanguage":17,"type":260},"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":380},"inline plugin source from marketplace.json at skills/huggingface-trackio",[384],{"path":328,"priority":318},{"basePath":386,"description":387,"displayName":388,"installMethods":389,"rationale":390,"selectedPaths":391,"source":319,"sourceLanguage":17,"type":260},"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":388},"inline plugin source from marketplace.json at skills/huggingface-datasets",[392],{"path":328,"priority":318},{"basePath":394,"description":395,"displayName":396,"installMethods":397,"rationale":398,"selectedPaths":399,"source":319,"sourceLanguage":17,"type":260},"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":396},"inline plugin source from marketplace.json at skills/huggingface-tool-builder",[400],{"path":328,"priority":318},{"basePath":257,"description":10,"displayName":12,"installMethods":402,"rationale":403,"selectedPaths":404,"source":319,"sourceLanguage":17,"type":260},{"claudeCode":12},"inline plugin source from marketplace.json at skills/huggingface-gradio",[405],{"path":328,"priority":318},{"basePath":407,"description":408,"displayName":409,"installMethods":410,"rationale":411,"selectedPaths":412,"source":319,"sourceLanguage":17,"type":260},"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":409},"inline plugin source from marketplace.json at skills/transformers-js",[413],{"path":328,"priority":318},{"basePath":415,"description":416,"displayName":417,"installMethods":418,"rationale":419,"selectedPaths":420,"source":319,"sourceLanguage":17,"type":260},"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":417},"inline plugin source from marketplace.json at skills/huggingface-vision-trainer",[421],{"path":328,"priority":318},{"basePath":423,"description":424,"displayName":425,"installMethods":426,"rationale":427,"selectedPaths":428,"source":319,"sourceLanguage":17,"type":260},"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":425},"inline plugin source from marketplace.json at skills/train-sentence-transformers",[429],{"path":328,"priority":318},{"basePath":271,"description":266,"displayName":269,"installMethods":431,"license":251,"rationale":432,"selectedPaths":433,"source":319,"sourceLanguage":17,"type":260},{"claudeCode":269},"plugin manifest at .claude-plugin/plugin.json",[434,436,437,438,441,443,445,447,449,451,453,455,457,459,461,463,465,467,469,471],{"path":435,"priority":313},".claude-plugin/plugin.json",{"path":315,"priority":313},{"path":317,"priority":318},{"path":439,"priority":440},"skills/hf-cli/SKILL.md","medium",{"path":442,"priority":440},"skills/huggingface-best/SKILL.md",{"path":444,"priority":440},"skills/huggingface-community-evals/SKILL.md",{"path":446,"priority":440},"skills/huggingface-datasets/SKILL.md",{"path":448,"priority":440},"skills/huggingface-gradio/SKILL.md",{"path":450,"priority":440},"skills/huggingface-llm-trainer/SKILL.md",{"path":452,"priority":440},"skills/huggingface-local-models/SKILL.md",{"path":454,"priority":440},"skills/huggingface-paper-publisher/SKILL.md",{"path":456,"priority":440},"skills/huggingface-papers/SKILL.md",{"path":458,"priority":440},"skills/huggingface-tool-builder/SKILL.md",{"path":460,"priority":440},"skills/huggingface-trackio/SKILL.md",{"path":462,"priority":440},"skills/huggingface-vision-trainer/SKILL.md",{"path":464,"priority":440},"skills/train-sentence-transformers/SKILL.md",{"path":466,"priority":440},"skills/transformers-js/SKILL.md",{"path":468,"priority":313},".mcp.json",{"path":470,"priority":318},"agents/AGENTS.md",{"path":472,"priority":318},".cursor-plugin/plugin.json",{"basePath":474,"description":475,"displayName":476,"installMethods":477,"rationale":478,"selectedPaths":479,"source":319,"sourceLanguage":17,"type":481},"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":268},"SKILL.md frontmatter at hf-mcp/skills/hf-mcp/SKILL.md",[480],{"path":328,"priority":313},"skill",{"basePath":370,"description":483,"displayName":372,"installMethods":484,"rationale":485,"selectedPaths":486,"source":319,"sourceLanguage":17,"type":481},"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":268},"SKILL.md frontmatter at skills/hf-cli/SKILL.md",[487],{"path":328,"priority":313},{"basePath":362,"description":489,"displayName":364,"installMethods":490,"rationale":491,"selectedPaths":492,"source":319,"sourceLanguage":17,"type":481},"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":268},"SKILL.md frontmatter at skills/huggingface-best/SKILL.md",[493],{"path":328,"priority":313},{"basePath":354,"description":495,"displayName":356,"installMethods":496,"rationale":497,"selectedPaths":498,"source":319,"sourceLanguage":17,"type":481},"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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