[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-plugin-huggingface-huggingface-tool-builder-zh-CN":3,"guides-for-huggingface-huggingface-tool-builder":755,"similar-k1700wce4kdtr4t5rmewvk34q186meb7-zh-CN":756},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":264,"isFallback":261,"parentExtension":268,"providers":302,"relations":306,"repo":307,"tags":753,"workflow":754},1778690773482.4849,"k1700wce4kdtr4t5rmewvk34q186meb7",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Build reusable scripts for Hugging Face Hub and API workflows. Useful for chaining API calls, enriching Hub metadata, or automating repeated tasks.",{"claudeCode":12},"huggingface-tool-builder","Hugging Face Tool Builder","https://github.com/huggingface/skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":245,"workflow":262},1778691032588.8577,"kn73y0spsymjnd75t585e01a7n86mdy6","en",{"checks":20,"evaluatedAt":201,"extensionSummary":202,"features":203,"nonGoals":209,"practices":213,"prerequisites":214,"promptVersionExtension":215,"promptVersionScoring":216,"purpose":217,"rationale":218,"score":219,"summary":220,"tags":221,"targetMarket":230,"tier":231,"useCases":232,"workflow":237},[21,26,29,32,36,39,44,48,50,52,56,60,63,67,70,73,76,79,82,85,89,93,97,101,106,109,112,115,119,122,125,128,131,133,136,140,144,148,151,155,158,161,164,167,169,172,175,178,180,183,187,190,193,197],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of building reusable scripts for Hugging Face Hub and API workflows, specifically mentioning chaining API calls, enriching metadata, and automating tasks.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill provides reusable script templates and guidance for interacting with the Hugging Face API and CLI, offering value beyond basic API calls by focusing on composability and automation.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides baseline script templates, reference examples for complex workflows, and clear guidance on API usage and authentication, enabling immediate use for automating Hugging Face tasks.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The plugin's scope is focused on building reusable scripts and tools for Hugging Face Hub and API workflows, without extending into unrelated domains.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's capabilities, focusing on building reusable scripts for Hugging Face Hub and API workflows.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This plugin does not expose specific tools; it provides script templates and guidance for the user to build their own tools.",{"category":45,"check":46,"severity":24,"summary":47},"Documentation","Configuration & parameter reference","The documentation clearly outlines script rules, API access, and `hf` CLI usage, including how to handle authentication via HF_TOKEN and mentions best practices for parameters.",{"category":33,"check":49,"severity":42,"summary":43},"Tool naming",{"category":33,"check":51,"severity":42,"summary":43},"Minimal I/O surface",{"category":53,"check":54,"severity":24,"summary":55},"License","License usability","The extension is licensed under the Apache-2.0 license, as indicated by the bundled LICENSE file.",{"category":57,"check":58,"severity":24,"summary":59},"Maintenance","Commit recency","The repository has recent commits within the last 3 months, indicating active maintenance.",{"category":57,"check":61,"severity":42,"summary":62},"Dependency Management","The repository does not appear to directly manage third-party dependencies for the core skill scripts in a way that requires specific update mechanisms.",{"category":64,"check":65,"severity":24,"summary":66},"Security","Secret Management","The skill correctly emphasizes using the `HF_TOKEN` environment variable for authentication and explicitly mentions not to commit secrets.",{"category":64,"check":68,"severity":24,"summary":69},"Injection","The documentation guides users to treat API results as data and provides examples of scripting, implying that fetched content is not executed as instructions.",{"category":64,"check":71,"severity":24,"summary":72},"Transitive Supply-Chain Grenades","The skill provides script templates and guides users to use local or committed scripts, avoiding runtime fetching of executable code.",{"category":64,"check":74,"severity":24,"summary":75},"Sandbox Isolation","The focus on generating scripts and using the `hf` CLI implies operations within the user's project context, with no indication of modifying files outside of the user's explicit scope.",{"category":64,"check":77,"severity":24,"summary":78},"Sandbox escape primitives","There are no indications of detached process spawns or retry loops around denied tool calls in the provided script examples or documentation.",{"category":64,"check":80,"severity":24,"summary":81},"Data Exfiltration","The skill's focus is on generating scripts for Hugging Face API interaction, with no evidence of instructions to read or submit confidential data to third parties.",{"category":64,"check":83,"severity":24,"summary":84},"Hidden Text Tricks","The bundled content appears free of hidden steering tricks, with clear prose and script examples.",{"category":86,"check":87,"severity":24,"summary":88},"Hooks","Opaque code execution","The skill provides readable bash, Python, and TSX script examples, avoiding obfuscation or runtime fetching of executable code.",{"category":90,"check":91,"severity":24,"summary":92},"Portability","Structural Assumption","The script examples are general and do not appear to make strong assumptions about user-specific project organization outside of needing the `hf` CLI and `HF_TOKEN`.",{"category":94,"check":95,"severity":24,"summary":96},"Trust","Issues Attention","Open issues (4) and closed issues (6) in the last 90 days indicate active engagement from maintainers.",{"category":98,"check":99,"severity":24,"summary":100},"Versioning","Release Management","The repository uses Git tags and has recent commit activity, indicating meaningful versioning. The `pushedAt` date suggests it's actively updated.",{"category":102,"check":103,"severity":104,"summary":105},"Code Execution","Validation","info","While script examples demonstrate API interaction and piping, explicit validation using a schema library for all input arguments is not detailed in the documentation.",{"category":64,"check":107,"severity":24,"summary":108},"Unguarded Destructive Operations","The documentation emphasizes non-destructive scripts and testing, and while destructive operations via the `hf` CLI are possible, the skill itself focuses on script building, not direct destructive actions.",{"category":102,"check":110,"severity":24,"summary":111},"Error Handling","The documentation advises users to investigate API result shapes and build resilient queries, suggesting a user-driven approach to handling errors, and provides examples of piping which implies error handling at various stages.",{"category":102,"check":113,"severity":42,"summary":114},"Logging","This skill is focused on generating scripts for the user, not on performing its own logging of actions or errors.",{"category":116,"check":117,"severity":42,"summary":118},"Compliance","GDPR","The skill does not operate on personal data; it facilitates API interactions and script building.",{"category":116,"check":120,"severity":24,"summary":121},"Target market","The extension's functionality is globally applicable, focusing on Hugging Face Hub APIs which are accessible worldwide.",{"category":90,"check":123,"severity":24,"summary":124},"Runtime stability","The scripts provided are in common languages (bash, Python, TSX) and rely on the `hf` CLI, which is designed for cross-platform use.",{"category":45,"check":126,"severity":24,"summary":127},"README","The README file clearly states the extension's purpose, installation instructions, and available skills.",{"category":33,"check":129,"severity":42,"summary":130},"Tool surface size","This is a plugin that bundles multiple skills; it does not expose individual tools directly.",{"category":40,"check":132,"severity":42,"summary":43},"Overlapping near-synonym tools",{"category":45,"check":134,"severity":24,"summary":135},"Phantom features","All advertised features related to building scripts and using Hugging Face APIs are implemented and demonstrated through examples and documentation.",{"category":137,"check":138,"severity":24,"summary":139},"Install","Installation instruction","The README provides clear installation instructions for various agents (Claude Code, Codex, Gemini CLI, Cursor) and includes copy-pasteable examples for usage.",{"category":141,"check":142,"severity":104,"summary":143},"Errors","Actionable error messages","While the documentation encourages users to handle errors and investigate API results, it doesn't provide specific examples of actionable error messages for failed API calls or script execution.",{"category":145,"check":146,"severity":24,"summary":147},"Execution","Pinned dependencies","The provided scripts rely on standard interpreters (bash, python, tsx) and the `hf` CLI, which is typically installed and managed by the user's environment, implying dependency management by the user.",{"category":33,"check":149,"severity":104,"summary":150},"Dry-run preview","While the skill focuses on script building, it does not explicitly provide a dry-run feature for the generated scripts, although the `hf` CLI itself may offer some dry-run capabilities for its commands.",{"category":152,"check":153,"severity":24,"summary":154},"Protocol","Idempotent retry & timeouts","The documentation guides users to implement resilient queries and leverage piping for composability, which implicitly supports building idempotent operations and handling retries.",{"category":116,"check":156,"severity":24,"summary":157},"Telemetry opt-in","There is no mention of telemetry being emitted by this skill; the focus is on script generation for the user.",{"category":40,"check":159,"severity":42,"summary":160},"Name collisions","This is a plugin that bundles multiple skills; the check for name collisions applies to individual skills or commands within a plugin, not the plugin itself.",{"category":40,"check":162,"severity":42,"summary":163},"Hooks-off mechanism","This plugin does not appear to utilize hooks in a way that would require a specific hooks-off mechanism.",{"category":40,"check":165,"severity":42,"summary":166},"Hook matcher tightness","This plugin does not appear to utilize hooks.",{"category":64,"check":168,"severity":42,"summary":166},"Hook security",{"category":86,"check":170,"severity":42,"summary":171},"Silent prompt rewriting","This plugin does not appear to utilize `UserPromptSubmit` hooks.",{"category":64,"check":173,"severity":42,"summary":174},"Permission Hook","This plugin does not appear to utilize `PermissionRequest` hooks.",{"category":116,"check":176,"severity":42,"summary":177},"Hook privacy","This plugin does not appear to utilize hooks for logging or telemetry.",{"category":102,"check":179,"severity":42,"summary":166},"Hook dependency",{"category":45,"check":181,"severity":42,"summary":182},"Feature Transparency","This plugin does not appear to declare or use hooks that require explicit documentation in the README.",{"category":184,"check":185,"severity":42,"summary":186},"Convention","Layout convention adherence","The plugin itself adheres to Claude Code plugin structure, but this check is more about individual skills within the repo, which is a separate concern.",{"category":184,"check":188,"severity":42,"summary":189},"Plugin state","This plugin does not appear to have persistent state managed by the plugin itself.",{"category":64,"check":191,"severity":42,"summary":192},"Keychain-stored secrets","The plugin relies on the user managing their `HF_TOKEN` environment variable, rather than storing secrets internally via `userConfig`.",{"category":194,"check":195,"severity":42,"summary":196},"Dependencies","Tagged release sourcing","This plugin is a collection of skills from a single repository and does not bundle other MCP servers that would require tagged release sourcing.",{"category":198,"check":199,"severity":24,"summary":200},"Installation","Clean uninstall","The plugin's installation primarily involves registering the repository as a marketplace or copying skills, and it does not appear to spawn background daemons or services that would survive an uninstall.",1778691032455,"This plugin provides a collection of reusable scripts and guidance for interacting with the Hugging Face Hub and its APIs. It includes baseline templates for Bash, Python, and TypeScript, as well as examples of chaining API calls and using the `hf` CLI for tasks like model and dataset management.",[204,205,206,207,208],"Builds reusable scripts for Hugging Face Hub and API","Chains multiple API calls for complex workflows","Automates repeated tasks and data enrichment","Provides baseline script templates in Bash, Python, and TSX","Leverages `HF_TOKEN` for secure and authorized API access",[210,211,212],"Directly executing complex ML training or fine-tuning jobs (use specific Hugging Face skills for that).","Replacing the need for users to understand Hugging Face APIs or `hf` CLI commands.","Providing pre-built solutions for every possible Hugging Face task; it's a builder's tool.",[],[],"3.0.0","4.4.0","To empower users to automate repetitive tasks and build custom workflows by creating reusable scripts for the Hugging Face Hub and API.","The extension demonstrates strong adherence to best practices across security, documentation, and functionality. A minor info finding on validation details and a lack of explicit actionable error message examples prevent a perfect score.",95,"A high-quality plugin for building reusable Hugging Face API and CLI scripts.",[222,223,224,225,226,227,228,229],"huggingface","api","cli","scripting","automation","python","bash","typescript","global","verified",[233,234,235,236],"When you need to automate fetching and processing data from Hugging Face datasets or models.","To create custom scripts for managing Hugging Face repositories, models, or datasets.","When you want to combine multiple Hugging Face API calls into a single, automated workflow.","To enrich Hugging Face metadata or generate summaries of repository contents.",[238,239,240,241,242,243,244],"Identify the task requiring automation or scripting for Hugging Face resources.","Choose a scripting language (Bash, Python, TSX) based on complexity.","Utilize provided baseline scripts or reference examples as a starting point.","Implement API calls using `HF_TOKEN` for authentication and `hf` CLI commands.","Chain commands and process data using piping and intermediate steps.","Test the script for functionality and error handling.","Provide the completed script to the user with usage examples.",{"codeQuality":246,"collectedAt":248,"documentation":249,"maintenance":252,"security":258,"testCoverage":260},{"hasLockfile":247},false,1778691013294,{"descriptionLength":250,"readmeSize":251},147,9821,{"closedIssues90d":253,"forks":254,"hasChangelog":247,"openIssues90d":255,"pushedAt":256,"stars":257},6,663,4,1778593131000,10482,{"hasNpmPackage":247,"license":259,"smitheryVerified":247},"Apache-2.0",{"hasCi":261,"hasTests":247},true,{"updatedAt":263},1778691032588,{"basePath":265,"githubOwner":222,"githubRepo":266,"locale":18,"slug":12,"type":267},"skills/huggingface-tool-builder","skills","plugin",{"_creationTime":269,"_id":270,"community":271,"display":272,"identity":277,"parentExtension":280,"providers":281,"relations":296,"tags":298,"workflow":299},1778690773482.4824,"k17es3r8wd37t5rrwqcpp5kwrh86mxx8",{"reviewCount":8},{"description":273,"installMethods":274,"name":276,"sourceUrl":14},"Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub",{"claudeCode":275},"huggingface/skills","huggingface-skills",{"basePath":278,"githubOwner":222,"githubRepo":266,"locale":18,"slug":266,"type":279},"","marketplace",null,{"evaluate":282,"extract":290},{"promptVersionExtension":283,"promptVersionScoring":216,"score":219,"tags":284,"targetMarket":230,"tier":231},"3.1.0",[285,222,286,287,288,289],"ai-ml","datasets","models","research","developer-tools",{"commitSha":291,"marketplace":292,"plugin":294},"HEAD",{"name":276,"pluginCount":293},14,{"mcpCount":8,"provider":295,"skillCount":8},"classify",{"repoId":297},"kd72xwt5xnc0ktc4p7smzfcp3986m959",[285,286,289,222,287,288],{"evaluatedAt":300,"extractAt":301,"updatedAt":300},1778690814090,1778690773482,{"evaluate":303,"extract":305},{"promptVersionExtension":215,"promptVersionScoring":216,"score":219,"tags":304,"targetMarket":230,"tier":231},[222,223,224,225,226,227,228,229],{"commitSha":291,"license":259},{"parentExtensionId":270,"repoId":297},{"_creationTime":308,"_id":297,"identity":309,"providers":310,"workflow":749},1778689536128.5474,{"githubOwner":222,"githubRepo":266,"sourceUrl":14},{"classify":311,"discover":742,"github":745},{"commitSha":291,"extensions":312},[313,326,335,343,351,359,367,375,383,391,399,404,412,420,428,436,479,488,494,500,517,523,530,572,583,602,608,628,640,664,722],{"basePath":278,"description":273,"displayName":276,"installMethods":314,"rationale":315,"selectedPaths":316,"source":325,"sourceLanguage":18,"type":279},{"claudeCode":275},"marketplace.json at .claude-plugin/marketplace.json",[317,320,322],{"path":318,"priority":319},".claude-plugin/marketplace.json","mandatory",{"path":321,"priority":319},"README.md",{"path":323,"priority":324},"LICENSE","high","rule",{"basePath":327,"description":328,"displayName":329,"installMethods":330,"rationale":331,"selectedPaths":332,"source":325,"sourceLanguage":18,"type":267},"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":329},"inline plugin source from marketplace.json at skills/huggingface-llm-trainer",[333],{"path":334,"priority":324},"SKILL.md",{"basePath":336,"description":337,"displayName":338,"installMethods":339,"rationale":340,"selectedPaths":341,"source":325,"sourceLanguage":18,"type":267},"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":338},"inline plugin source from marketplace.json at skills/huggingface-local-models",[342],{"path":334,"priority":324},{"basePath":344,"description":345,"displayName":346,"installMethods":347,"rationale":348,"selectedPaths":349,"source":325,"sourceLanguage":18,"type":267},"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":346},"inline plugin source from marketplace.json at skills/huggingface-paper-publisher",[350],{"path":334,"priority":324},{"basePath":352,"description":353,"displayName":354,"installMethods":355,"rationale":356,"selectedPaths":357,"source":325,"sourceLanguage":18,"type":267},"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":354},"inline plugin source from marketplace.json at skills/huggingface-papers",[358],{"path":334,"priority":324},{"basePath":360,"description":361,"displayName":362,"installMethods":363,"rationale":364,"selectedPaths":365,"source":325,"sourceLanguage":18,"type":267},"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":362},"inline plugin source from marketplace.json at skills/huggingface-community-evals",[366],{"path":334,"priority":324},{"basePath":368,"description":369,"displayName":370,"installMethods":371,"rationale":372,"selectedPaths":373,"source":325,"sourceLanguage":18,"type":267},"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":370},"inline plugin source from marketplace.json at skills/huggingface-best",[374],{"path":334,"priority":324},{"basePath":376,"description":377,"displayName":378,"installMethods":379,"rationale":380,"selectedPaths":381,"source":325,"sourceLanguage":18,"type":267},"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":378},"inline plugin source from marketplace.json at skills/hf-cli",[382],{"path":334,"priority":324},{"basePath":384,"description":385,"displayName":386,"installMethods":387,"rationale":388,"selectedPaths":389,"source":325,"sourceLanguage":18,"type":267},"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":386},"inline plugin source from marketplace.json at skills/huggingface-trackio",[390],{"path":334,"priority":324},{"basePath":392,"description":393,"displayName":394,"installMethods":395,"rationale":396,"selectedPaths":397,"source":325,"sourceLanguage":18,"type":267},"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":394},"inline plugin source from marketplace.json at skills/huggingface-datasets",[398],{"path":334,"priority":324},{"basePath":265,"description":10,"displayName":12,"installMethods":400,"rationale":401,"selectedPaths":402,"source":325,"sourceLanguage":18,"type":267},{"claudeCode":12},"inline plugin source from marketplace.json at skills/huggingface-tool-builder",[403],{"path":334,"priority":324},{"basePath":405,"description":406,"displayName":407,"installMethods":408,"rationale":409,"selectedPaths":410,"source":325,"sourceLanguage":18,"type":267},"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":407},"inline plugin source from marketplace.json at skills/huggingface-gradio",[411],{"path":334,"priority":324},{"basePath":413,"description":414,"displayName":415,"installMethods":416,"rationale":417,"selectedPaths":418,"source":325,"sourceLanguage":18,"type":267},"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":415},"inline plugin source from marketplace.json at skills/transformers-js",[419],{"path":334,"priority":324},{"basePath":421,"description":422,"displayName":423,"installMethods":424,"rationale":425,"selectedPaths":426,"source":325,"sourceLanguage":18,"type":267},"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":423},"inline plugin source from marketplace.json at skills/huggingface-vision-trainer",[427],{"path":334,"priority":324},{"basePath":429,"description":430,"displayName":431,"installMethods":432,"rationale":433,"selectedPaths":434,"source":325,"sourceLanguage":18,"type":267},"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":431},"inline plugin source from marketplace.json at skills/train-sentence-transformers",[435],{"path":334,"priority":324},{"basePath":278,"description":273,"displayName":276,"installMethods":437,"license":259,"rationale":438,"selectedPaths":439,"source":325,"sourceLanguage":18,"type":267},{"claudeCode":276},"plugin manifest at .claude-plugin/plugin.json",[440,442,443,444,447,449,451,453,455,457,459,461,463,465,467,469,471,473,475,477],{"path":441,"priority":319},".claude-plugin/plugin.json",{"path":321,"priority":319},{"path":323,"priority":324},{"path":445,"priority":446},"skills/hf-cli/SKILL.md","medium",{"path":448,"priority":446},"skills/huggingface-best/SKILL.md",{"path":450,"priority":446},"skills/huggingface-community-evals/SKILL.md",{"path":452,"priority":446},"skills/huggingface-datasets/SKILL.md",{"path":454,"priority":446},"skills/huggingface-gradio/SKILL.md",{"path":456,"priority":446},"skills/huggingface-llm-trainer/SKILL.md",{"path":458,"priority":446},"skills/huggingface-local-models/SKILL.md",{"path":460,"priority":446},"skills/huggingface-paper-publisher/SKILL.md",{"path":462,"priority":446},"skills/huggingface-papers/SKILL.md",{"path":464,"priority":446},"skills/huggingface-tool-builder/SKILL.md",{"path":466,"priority":446},"skills/huggingface-trackio/SKILL.md",{"path":468,"priority":446},"skills/huggingface-vision-trainer/SKILL.md",{"path":470,"priority":446},"skills/train-sentence-transformers/SKILL.md",{"path":472,"priority":446},"skills/transformers-js/SKILL.md",{"path":474,"priority":319},".mcp.json",{"path":476,"priority":324},"agents/AGENTS.md",{"path":478,"priority":324},".cursor-plugin/plugin.json",{"basePath":480,"description":481,"displayName":482,"installMethods":483,"rationale":484,"selectedPaths":485,"source":325,"sourceLanguage":18,"type":487},"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":275},"SKILL.md frontmatter at hf-mcp/skills/hf-mcp/SKILL.md",[486],{"path":334,"priority":319},"skill",{"basePath":376,"description":489,"displayName":378,"installMethods":490,"rationale":491,"selectedPaths":492,"source":325,"sourceLanguage":18,"type":487},"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":275},"SKILL.md frontmatter at skills/hf-cli/SKILL.md",[493],{"path":334,"priority":319},{"basePath":368,"description":495,"displayName":370,"installMethods":496,"rationale":497,"selectedPaths":498,"source":325,"sourceLanguage":18,"type":487},"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":275},"SKILL.md frontmatter at skills/huggingface-best/SKILL.md",[499],{"path":334,"priority":319},{"basePath":360,"description":501,"displayName":362,"installMethods":502,"rationale":503,"selectedPaths":504,"source":325,"sourceLanguage":18,"type":487},"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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