Pyfagorass/bookofspells - 11페이지

gworkspace-recipe-organize-drive-folder

Create a Google Drive folder structure and move files into the right locations.

원문 언어: 영어

gworkspace-recipe-plan-weekly-schedule

Review your Google Calendar week, identify gaps, and add events to fill them.

원문 언어: 영어

gworkspace-recipe-post-mortem-setup

Create a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.

원문 언어: 영어

gworkspace-recipe-reschedule-meeting

Move a Google Calendar event to a new time and automatically notify all attendees.

원문 언어: 영어

gworkspace-recipe-review-meet-participants

Review who attended a Google Meet conference and for how long.

원문 언어: 영어

gworkspace-recipe-review-overdue-tasks

Find Google Tasks that are past due and need attention.

원문 언어: 영어

gworkspace-recipe-save-email-attachments

Find Gmail messages with attachments and save them to a Google Drive folder.

원문 언어: 영어

gworkspace-recipe-save-email-to-doc

Save a Gmail message body into a Google Doc for archival or reference.

원문 언어: 영어

gworkspace-recipe-schedule-recurring-event

Create a recurring Google Calendar event with attendees.

원문 언어: 영어

gworkspace-recipe-send-team-announcement

Send a team announcement via both Gmail and a Google Chat space.

원문 언어: 영어

gworkspace-recipe-share-doc-and-notify

Share a Google Docs document with edit access and email collaborators the link.

원문 언어: 영어

gworkspace-recipe-share-event-materials

Share Google Drive files with all attendees of a Google Calendar event.

원문 언어: 영어

gworkspace-recipe-share-folder-with-team

Share a Google Drive folder and all its contents with a list of collaborators.

원문 언어: 영어

gworkspace-recipe-sync-contacts-to-sheet

Export Google Contacts directory to a Google Sheets spreadsheet.

원문 언어: 영어

gworkspace-recipe-watch-drive-changes

Subscribe to change notifications on a Google Drive file or folder.

원문 언어: 영어

huggingface-hf-cli

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…

원문 언어: 영어

huggingface-huggingface-best

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]",…

원문 언어: 영어

huggingface-huggingface-community-evals

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…

원문 언어: 영어

huggingface-huggingface-datasets

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.

원문 언어: 영어

huggingface-huggingface-gradio

Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.

원문 언어: 영어

huggingface-huggingface-llm-trainer

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…

원문 언어: 영어

huggingface-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.

원문 언어: 영어

huggingface-huggingface-lora-space-builder

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,…

원문 언어: 영어

huggingface-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.

원문 언어: 영어

huggingface-huggingface-papers

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…

원문 언어: 영어

huggingface-huggingface-spaces

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…

원문 언어: 영어

huggingface-huggingface-tool-builder

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…

원문 언어: 영어

huggingface-huggingface-trackio

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…

원문 언어: 영어

huggingface-huggingface-vision-trainer

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…

원문 언어: 영어

huggingface-huggingface-zerogpu

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 —…

원문 언어: 영어

huggingface-train-sentence-transformers

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…

원문 언어: 영어

huggingface-transformers-js

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…

원문 언어: 영어

huggingface-trl-training

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.

원문 언어: 영어

kotlin-kotlin-backend-jpa-entity-mapping

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…

원문 언어: 영어

kotlin-kotlin-tooling-agp9-migration

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…

원문 언어: 영어

kotlin-kotlin-tooling-cocoapods-spm-migration

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.

원문 언어: 영어

kotlin-kotlin-tooling-immutable-collections-0-5-x-migration

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…

원문 언어: 영어

kotlin-kotlin-tooling-java-to-kotlin

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,…

원문 언어: 영어

lambdatest-ai-based-api

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",…

원문 언어: 영어

lambdatest-api-analyzer

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…

원문 언어: 영어