Skill UI

This skill automatically gathers and structures comprehensive context for Apple product development. It analyzes existing project files (like README, Info.plist, and code) and prompts the user for details across product overview, target platforms, technology stack, design system, and accessibility requirements. The output is a structured context document used by other specialized skills to ensure consistent, informed design and development decisions.

Provides calibration-free weight quantization for LLMs down to 1-bit precision with multiple optimized backends, ideal for fast deployments with vLLM/HuggingFace and LoRA/PEFT fine-tuning without collecting calibration data.

Automates Html To Image operations through Rube MCP and Composio toolkits, guiding discovery, connection checks, and schema-safe tool execution for reproducible workflows.

Auto-activating skill provides guidance for HTTP method helper tasks, covering REST, GraphQL, OpenAPI, authentication, and API design patterns while producing production-ready code and validations.

This guide provides expert patterns and code templates for integrating with the HubSpot CRM API. It covers secure authentication methods, including OAuth 2.0 for public apps and Private App Tokens for single-account use. Topics include CRUD operations on CRM objects, handling associations, webhooks, and batch processing. Implementation examples are provided for both Node.js and Python SDKs.

The official Hugging Face Hub CLI (`hf`) is a comprehensive command-line tool for managing all types of resources on the Hugging Face Hub. Use it to download, upload, synchronize, and manage models, datasets, Spaces, and cloud buckets. It facilitates secure authentication, local cache management, and complex data operations, making it essential for ML workflows.

Execute complex and compute-intensive workloads directly on fully managed Hugging Face cloud infrastructure. This skill eliminates the need for local setup, allowing users to run jobs using cloud CPUs, GPUs, or TPUs. Ideal for large-scale data processing, batch inference, reproducible model training, and scheduled automation tasks, while persisting results to the Hugging Face Hub.

HuggingFace Accelerate adds distributed support to any PyTorch script with just four lines, providing a unified API for DDP, DeepSpeed, FSDP, and Megatron, plus automatic device placement, mixed precision, and simple launch/config commands for fast prototyping.

A sophisticated writing editor designed to remove tell-tale signs of AI-generated text. This tool helps transform overly polished, robotic, or academic prose into natural, human-sounding writing. It detects and corrects patterns such as inflated symbolism, passive voice, vague attributions, and repetitive LLM structures, while also calibrating the output to match an author's specific voice and tone. Ideal for content review, editing, and improving natural communication flow.

Automates Hunter.io email intelligence via the Composio MCP integration so teams can search domains, locate specific contacts, verify deliverability, manage leads, and monitor quotas through natural language commands.

An expert architect specializing in designing, implementing, and managing complex hybrid and multi-cloud environments. Expertise spans major public clouds (AWS, Azure, GCP), private clouds (OpenStack, VMware), and container platforms (Kubernetes). Focus areas include cross-cloud networking, Infrastructure as Code (IaC) using Terraform, workload optimization, zero-trust security implementation, and FinOps cost management.

This skill provides structured patterns for combining vector similarity search with traditional keyword-based search. It is essential for building advanced Retrieval-Augmented Generation (RAG) systems, sophisticated search engines, or any retrieval task requiring high recall. Use this when pure semantic understanding is insufficient, and precise matching of specific terms (like names or codes) is necessary.