Create a Google Drive folder structure and move files into the right locations.
Quellsprache: Englisch
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SkillsMP hat 870 Skills aus Pyfagorass/bookofspells gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Pyfagorass/bookofspellsEs werden 40 von 870 gesammelten Skills angezeigt.
Create a Google Drive folder structure and move files into the right locations.
Quellsprache: Englisch
Review your Google Calendar week, identify gaps, and add events to fill them.
Quellsprache: Englisch
Create a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.
Quellsprache: Englisch
Move a Google Calendar event to a new time and automatically notify all attendees.
Quellsprache: Englisch
Review who attended a Google Meet conference and for how long.
Quellsprache: Englisch
Find Google Tasks that are past due and need attention.
Quellsprache: Englisch
Find Gmail messages with attachments and save them to a Google Drive folder.
Quellsprache: Englisch
Save a Gmail message body into a Google Doc for archival or reference.
Quellsprache: Englisch
Create a recurring Google Calendar event with attendees.
Quellsprache: Englisch
Send a team announcement via both Gmail and a Google Chat space.
Quellsprache: Englisch
Share a Google Docs document with edit access and email collaborators the link.
Quellsprache: Englisch
Share Google Drive files with all attendees of a Google Calendar event.
Quellsprache: Englisch
Share a Google Drive folder and all its contents with a list of collaborators.
Quellsprache: Englisch
Export Google Contacts directory to a Google Sheets spreadsheet.
Quellsprache: Englisch
Subscribe to change notifications on a Google Drive file or folder.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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]",…
Quellsprache: Englisch
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. Not for HF Jobs orchestration, model-card PRs, .eval_results…
Quellsprache: Englisch
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Quellsprache: Englisch
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Quellsprache: Englisch
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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 playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan,…
Quellsprache: Englisch
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.
Quellsprache: Englisch
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or…
Quellsprache: Englisch
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on…
Quellsprache: Englisch
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a…
Quellsprache: Englisch
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with…
Quellsprache: Englisch
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 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face…
Quellsprache: Englisch
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints —…
Quellsprache: Englisch
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for…
Quellsprache: Englisch
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio…
Quellsprache: Englisch
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.
Quellsprache: Englisch
Model Kotlin persistence code correctly for Spring Data JPA and Hibernate. Covers entity design, identity and equality, uniqueness constraints, relationships, fetch plans, and common ORM (Object-Relational Mapping) traps specific to Kotlin. Use when creating…
Quellsprache: Englisch
Migrates Kotlin Multiplatform (KMP) projects to Android Gradle Plugin 9.0+. Handles plugin replacement (com.android.kotlin.multiplatform.library), module splitting, DSL migration, and the new default project structure. Use when upgrading AGP, when build fails…
Quellsprache: Englisch
Migrate KMP projects from CocoaPods (kotlin("native.cocoapods")) to Swift Package Manager (swiftPMDependencies DSL) — replaces pod() with swiftPackage(), transforms cocoapods.* imports to swiftPMImport.*, and reconfigures the Xcode project.
Quellsprache: Englisch
Migrate Kotlin (and Java) code from kotlinx.collections.immutable 0.3.x / 0.4.x to the latest 0.5.x. The 0.5.x line renames every copy-returning method on PersistentList / PersistentMap / PersistentSet / PersistentCollection to a participial form per…
Quellsprache: Englisch
Use when converting Java source files to idiomatic Kotlin, when user mentions "java to kotlin", "j2k", "convert java", "migrate java to kotlin", or when working with .java files that need to become .kt files. Handles framework-aware conversion for Spring,…
Quellsprache: Englisch
Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about "AI calling my API", "function calling schema", "tool definition for LLM",…
Quellsprache: Englisch
Validates whether an API request is correct based on provided inputs (method, URL, headers, body, auth, query params). Use this skill whenever a user wants to check, validate, debug, or verify an API call — including when they paste a curl command, show…
Quellsprache: Englisch