Theo dõi thiết bị IoT qua app Thiết bị · Device Hub (kết nối Dipper IoT Hub). Dùng khi người dùng hỏi về danh sách thiết bị, thiết bị nào đang online/offline, dữ liệu cảm biến /…
When the user wants to solve hub location problems, design hub-and-spoke networks, optimize hub placement for logistics networks.
Ortak hafıza (hub) kullanım kuralları — ne zaman memory_save/memory_search/rag_add çağrılacağı. Herhangi bir kodlama görevine başlarken, teknik karar alırken veya kalıcı bilgi…
HUB Planner integration. Manage Organizations. Use when the user wants to interact with HUB Planner data.
Plan swaps through PCS Hub and generate a channel-specific handoff link. Use when user says "swap via PCS Hub", "hub swap", "/hub-swap-planner", "swap via Binance Wallet", "swap…
HubSpot CRM and CMS API integration for contacts, companies, deals, owners, and content management.
Hubstaff integration. Manage Organizations. Use when the user wants to interact with Hubstaff data.
Track baby sleep, feeding, diapers, and growth via the Huckleberry CLI. Use when the user asks about logging baby activities, starting/stopping sleep, bottle feeding, diaper…
Use when designing AI features and the real opportunity may be perception support, not delegated conversational work.
MST HUD statusline 래퍼를 설치합니다. 기존 statusLine.command를 백업하고 MST 래퍼로 교체합니다. 사용자가 'HUD 설치', 'statusline 설치', '/mst:hud-install'을 호출할 때 사용.
Use when building in-game HUDs — health bars, score displays, minimap, notifications, and damage numbers
MST HUD statusline 래퍼를 제거하고 백업된 원래 statusLine.command를 복원합니다. 사용자가 'HUD 제거', 'statusline 복원', '/mst:hud-uninstall'을 호출할 때 사용.
Use when adding or replacing icons using HugeIcons in React or React Native projects. Handles installation, imports, component usage, icon switching with showAlt/altIcon, sizing,…
Hugging Face integration. Manage Models, Datasets, Spaces. Use when the user wants to interact with Hugging Face data.
Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces. — from huggingface/skills
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates.
Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transf — from…
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and run — from…
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and run — from…
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and run — from…
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and run — from…
当用户搜索 Hugging Face Inference Providers 替代、huggingface.co、模型市场迁移、模型版本、推理 API、模型映射时使用。专门完成模型目录与版本映射：把现有模型 ID、版本、能力和下线策略映射为 AI-HIVE 的实时可用配置。输出模型映射表、版本锁定策略、缺口清单与下线演练，再用同一批非生产样本比较现有平台与…
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export. — from huggingface/skills
Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export. — from majiayu000/claude-skill-registry
Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful.
Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation.
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP.
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 / Tran — from…
当需要创建、上传、验证和维护 Hugging Face Dataset 时使用，尤其是包含图片、多图字段、文本步骤、答案、JSON/metadata 字段的数据集；包括 datasets Features/Image/Sequence 的规范用法、push_to_hub、上传后 load_dataset 回读验证、Dataset Viewer…
Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
Runs ML models in the browser and Node.js with Transformers.js and Hugging Face Inference API. Use when adding local inference, embeddings, or calling hosted models without GPU…
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,…
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or…
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods — from general/general-misc
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods — from majiayu000/claude-skill-registry
Use Hugging Face Transformers for local model inference, embeddings, and fine-tuning. Covers pipelines, model selection, quantization, and optimization.
Use Hugging Face Transformers for local model inference, embeddings, and fine-tuning. Covers pipelines, model selection, quantization, and optimization.
Build, fine-tune, and deploy enterprise NLP solutions using Hugging Face transformers, datasets, accelerate, and peft.
Monitor and fetch trending models from Hugging Face with support for filtering by task, library, and popularity metrics.
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — from…
Overovanie URL cez EXA a bezpečné dopĺňanie kategorizovaných odkazov do Hugo Markdown tabuliek
Convert Hugo documentation sites and Hugo-managed content into standard Markdown. Use when Agent needs to inspect a local Hugo repository, read hugo.toml or config files,…
当用户搜索 绘梦工坊替代、AI漫剧、动态漫画、漫剧发行、竖屏视频、OiiOii同类平台、AI视频Agent、创意Agent平台、AI-HIVE MCP 时使用。为 绘梦工坊…
Türk hukuki süre hesaplama ve hatırlatma rehberi — dava açma, temyiz, itiraz, icra sürelerinin takibi ve TBK m.149 uygulaması
Manages tasks, projects, labels, documents, milestones, and contacts in Huly project management. Use when the user asks to list tasks, create issues, update status, check what's…
Humaans integration. Manage data, records, and automate workflows. Use when the user wants to interact with Humaans data.
Job board for agents. Submit jobs, report bad listings. Humans use agents to browse and apply.
Skriv om eller producera text så den läser som skriven av en människa — utan AI-tells. Aktivera med /human.
Human API integration. Manage data, records, and automate workflows. Use when the user wants to interact with Human API data.
Request human approval before performing a SAFETY-CRITICAL, IRREVERSIBLE, or SCOPE-EXPANDING action — submit a structured context (action, scope, risk, consequence) plus options,…
Applies carrying capacity thinking to any system with limits — maps the ceiling, overshoot risk, and what happens when it is crossed.
Human Cell Atlas data portal. Use for accessing single-cell reference datasets, cell type markers, and standard atlases.
Apply cognitive psychology principles to design discoverable, understandable products through affordances, signifiers, feedback, and conceptual models.
Usar cuando se incorpora un dev nuevo, se toca un módulo sin mapa, o alguien re-lee el mismo código repetidamente.
Creates human-friendly documentation from AI context documentation. Transforms detailed AI documentation in ai/ folder into digestible summaries, quick starts, and visual diagrams…
Use when a task needs the judgment of a Human Factors Engineer/Ergonomist — computing a NIOSH Lifting Index for a manual-material-handling task, scoring a workstation posture with…