Skill UI

A comprehensive skill for leveraging massive pre-trained transformer models across diverse AI domains, including Natural Language Processing (NLP), Computer Vision (CV), and Audio. Use this skill for advanced tasks such as text generation, classification, question answering, summarization, object detection, and model fine-tuning on proprietary datasets. It provides streamlined pipelines and granular control for deployment.

Provides instant, temporary Postgres databases for local development, prototyping, and testing environments. Supports connecting via REST API, CLI, SDK, and even Vite plugins. No account or credit card is required, making it ideal for setting up quick, throwaway database instances for development purposes.

This comprehensive system provides a complete framework (EOS) for businesses to achieve operational excellence and align their vision with daily execution. It covers six critical components—Vision, People, Data, Issues, Process, and Traction—offering tools like V/TO, Accountability Charts, and Scorecards to ensure sustainable growth and measurable performance. Ideal for growing companies seeking structured management.

Fine-tune or train object detection, classification, and SAM/SAM2 segmentation models on Hugging Face Jobs, leveraging managed GPUs, automatic dataset checks, and Hub persistence without local GPU setup.

A structured methodology for precisely identifying specific geographic locations or historical landmarks. This technique systematically narrows the search scope, moving from broad regions (countries/former states) down through administrative divisions, city centers, and finally to specific monuments or structures. It requires utilizing diverse clues like historical events, census data, and distance constraints, while critically verifying assumptions at each step to ensure accuracy.

The Hugging Face Transformers library is a comprehensive toolkit providing access to thousands of pre-trained models across diverse domains including Natural Language Processing (NLP), Computer Vision, Audio, and Multimodal tasks. It enables developers to easily load models, perform high-level inference (e.g., text generation, classification, QA), and fine-tune models on custom datasets using streamlined APIs like Pipelines and the Trainer class. Ideal for building advanced, state-of-the-art AI applications.

This guide covers advanced usage of the Anthropic Messages API. Learn how to implement real-time streaming responses, utilize system prompts for persona control, process visual inputs (Vision), and enforce structured data output (JSON). This is essential for building sophisticated, robust, and multi-modal Claude-powered applications.

This skill guides users through setting up robust, production-grade infrastructure on Fly.io. It covers creating and connecting to Fly Postgres clusters for reliable data storage, provisioning persistent NVMe Volumes for durable file storage, and configuring private internal networking (6PN) for secure service-to-service communication. It is essential for modern microservices requiring stable databases and persistent state.

A comprehensive technical checklist designed to ensure the robust, secure, and highly available operation of the MindTickle production integration. It covers critical areas including multi-tenant isolation, SCIM provisioning resilience, rate limit handling, and advanced error management to prevent data leaks or service disruptions.

A comprehensive guide and toolkit for developers managing MindTickle integrations. This resource details critical API schema changes, such as evolving course progress structures, supporting new quiz types, and updating SCIM/CRM provisioning models. It is essential for auditing, migrating, and ensuring the stability of data synchronization with external systems like Salesforce.

This comprehensive skill manages the entire computer vision pipeline, from custom dataset annotation to model deployment. Users can fine-tune YOLO models on proprietary COCO-formatted datasets using an agent-driven workflow. Key features include hardware-aware training (supporting CUDA, MPS, ROCm), automatic export to optimized formats (TensorRT, CoreML, OpenVINO, ONNX), and seamless, one-click deployment as an active detection skill.

This skill provides a comprehensive guide for deploying Navan's connections to major enterprise platforms, including ERP systems (NetSuite, Xero), HRIS (Workday), and Identity Providers (Okta, Azure AD). It covers best practices for expense sync, user provisioning (SCIM), and Single Sign-On (SAML/OIDC) using APIs and admin configurations, ensuring secure and accurate data flow across disparate business systems.