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Explain concepts through detailed, interactive machines drawn from an angled view. The skill produces standalone HTML, SVG, or React components, with moving parts and numerical readouts driven by the same model so readers can explore how the idea works.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explain an abstract concept through a moving machine
• Add an interactive figure to a technical article
• Create a standalone HTML explainer

Access paid APIs using Machine Payments Protocol (MPP), a protocol for request payments. The skill checks payment requirements, selects a compatible wallet or client, submits payment, and helps inspect the API response and receipt.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Paying for an API request that returns HTTP 402
• Choosing a client for a payment method
• Finding paid services and setting spending controls

Turn audio and video into text across 99 languages, translate speech into English, and create timestamped subtitles. The skill covers model selection, transcription settings, and batch processing for recordings such as meetings and podcasts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transcribing recorded meetings
• Turning podcasts and videos into text
• Translating foreign-language recordings into English

Guide language model training with TRL using example answers, preferred response pairs, or reward scores. The skill covers data preparation, method selection, reward model training, evaluation, and adjustments for memory limits or unstable training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a language model to follow instructions using example answers
• Train on preferred and rejected responses with DPO
• Build a reward model and run an RLHF training pipeline

Use SAM to separate objects from images by marking points or drawing boxes, without training a model for each task. Covers automatic region generation, refining selections, preparing annotation data, and exporting models for deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract an object with a transparent background
• Build an interactive image annotation tool
• Generate region masks for vision model training

Helps you use Unsloth for language model fine-tuning with LoRA and QLoRA, methods that adapt models with fewer trainable parameters. Supports API questions, implementation, and debugging using reference material drawn from official documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learning how to fine-tune models with LoRA or QLoRA
• Looking up Unsloth features and APIs
• Investigating errors in training code

Generate model responses in defined formats for data extraction and classification. Use JSON schemas, Pydantic data models, regular expressions, or fixed choices to produce structured results that other programs can parse and validate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting company or product details from text
• Classifying reviews into predefined labels
• Turning profile text into structured fields

Build question answering and document retrieval workflows with DSPy by defining inputs, outputs, and reusable components. Use training examples and evaluation metrics to automatically optimize prompts and compare results before and after optimization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building question answering with document retrieval
• Optimizing prompts using training examples
• Extracting structured information from text

Find language models on Hugging Face Hub and run them locally with llama.cpp. The skill helps compare GGUF model files, choose compressed versions that fit available memory, and prepare commands for a local chat server or command-line session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find a model that fits local RAM or GPU memory
• Compare available GGUF files and sizes
• Prepare a local chat server command

Use the hf command-line tool to find, download, and upload models and datasets on Hugging Face Hub. The guide also covers repository management, hosted computing resources, local cache maintenance, and automation options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find and download models or datasets
• Upload local files to the Hub
• Create repositories and manage branches or tags

Get guidance for fine-tuning large language models with Axolotl, adapting them through additional training. Use YAML configuration examples, dataset references, and training methods such as LoRA to set up training and investigate problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing YAML configuration for model fine-tuning
• Exploring LoRA and QLoRA training methods
• Checking dataset formats and API usage

Set up vLLM to serve large language models through an OpenAI-compatible API or process prompts in batches. The skill covers deployment, performance monitoring, and quantization, which reduces model memory requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying an OpenAI-compatible language model API
• Generating text from large batches of prompts
• Serving large models with limited GPU memory

Set up a reusable Twilio phone number, send SMS and MMS, and check incoming texts. Deliver recorded or spoken messages by phone, or place conversational AI calls through Bland.ai or Vapi.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting and reusing an agent phone number
• Sending deployment alerts by SMS
• Checking texts received since the previous session

Search and rewrite code by its syntax structure, such as function definitions or calls. Preview changes across files before applying them, and use YAML rules for repeatable checks and automatic fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding functions or calls with a specific structure
• Replacing matching code across multiple files
• Previewing changes before applying them

Control Philips Hue lighting through OpenHue CLI and a Hue Bridge. Turn lights on or off, adjust brightness and color temperature, change supported bulb colors, and apply saved scenes to rooms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Dim living room lights for a movie
• Set bedroom lighting to dim and warm
• Set office lighting to bright and cool

Improve prompts, regex patterns, SQL queries, or small code snippets through repeated scoring and revision. The skill helps define measurable tests, generate new candidates with an AI model, and inspect results to find better-performing versions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a prompt against example answers
• Refine a regex using pass rates
• Improve SQL or code using tests

Let Hermes handle purchases through Stripe Link using one-time virtual cards or Shared Payment Tokens, credentials for supported paid APIs. Each spend requires your approval in the Link app before payment can proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Completing an online purchase with Link approval
• Paying a supported API that returns HTTP 402
• Connecting a Link account to Hermes

Investigate suspected malicious changes in open-source software on GitHub by comparing repository history, APIs, and archives. Attempt to recover deleted evidence, identify signs of compromise, and produce a report separating verified facts from hypotheses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate suspicious commits or workflow changes
• Attempt to recover commits hidden by rewritten history
• Trace possible credential leaks

Support drug discovery research by searching public databases for compound activity, molecular properties, drug interactions, and gene–disease associations. Assess drug-likeness, meaning how molecular properties fit established rules for potential oral medicines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding active compounds for a biological target
• Assessing molecular properties against oral drug rules
• Reviewing drug interactions and reported adverse events

Set up and optimize large language model inference, or response generation, on NVIDIA GPUs. Use quantization, batch processing, and multiple GPUs to improve serving performance, and expose models through a chat completion API.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Serving a language model through a chat completion API
• Processing many prompts in batches
• Configuring quantization to reduce memory use

Build landing pages where scrolling advances video and visual effects. The skill guides interviews, visitor journeys, asset preparation, and HTML implementation, then checks screenshots across scroll positions, mobile layouts, and reduced-motion settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a landing page with scroll-controlled video
• Present a brand story through changing scenes
• Build a page using existing photos and footage

Carry out an implementation plan by assigning each task to a fresh subagent, a separate agent with its own context. Review specification compliance first, then code quality, repeat fixes as needed, and finish with an integration review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Execute a feature implementation plan task by task
• Check specification compliance before reviewing code quality
• Develop with tests written before implementation

Search local notes, documents, and meeting transcripts using keywords and meaning. Combine both methods and use local AI models to reorder results by relevance, then retrieve full documents or selected passages without cloud processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find decisions recorded in meeting transcripts
• Search notes by concept rather than exact wording
• Look up names and identifiers in project documentation

Read website updates from RSS, Atom, or JSON feeds and return entries in date order. Discover feeds from ordinary page URLs, filter by date or entry count, and collect titles, links, authors, and summaries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking recent posts on a blog or news site
• Finding feed URLs for a website
• Collecting recent GitHub release entries