Skill UI

This bundle collects comprehensive diagnostic evidence from the OpenEvidence clinical decision support API. It validates API credentials, checks query endpoint health, retrieves evidence citations, and captures model metadata. Use it to diagnose complex issues like query failures, missing references, or high latency without needing direct dashboard access.

This guide provides a comprehensive roadmap for migrating and upgrading integrations with the OpenEvidence clinical AI platform. It addresses critical API changes, such as schema restructuring (e.g., flat answers to structured evidence), version detection, and updated citation formats. Developers can use this knowledge to implement robust migration logic, ensuring that downstream clinical applications maintain high levels of accuracy and safety when accessing evolving medical evidence.

A comprehensive guide for auditing and ensuring regulatory compliance (SOC2, GDPR, HIPAA) when integrating Large Language Models (LLMs) via OpenRouter. It covers best practices for data handling, access control, PII redaction, implementing robust audit trails, and configuring provider routing to maintain data sovereignty and meet strict industry standards.

This skill provides comprehensive tools to monitor the real-time availability, status, and performance of various large language models (LLMs) accessed via OpenRouter. It supports active health probes, catalog checks, and scheduled monitoring via Python and Bash, ensuring robust fault detection and failover logic for production systems that rely on external AI APIs.

OpenRouter provides a unified API gateway to access leading AI models (OpenAI, Anthropic, Google, Meta, etc.) from a single endpoint. This skill is essential for developers who need to compare model performance (latency, tokens) across different providers, build resilient cross-provider fallback workflows, or manage complex AI pipelines without writing provider-specific code. It supports feature normalization and BYOK (Bring Your Own Key) for high-volume production use.

This skill guides developers on migrating their codebase from direct OpenAI API calls to using OpenRouter. By making minimal changes—primarily updating the base URL and API key—users gain access to over 400 models from multiple providers (including Anthropic and Google) through a unified SDK interface, ensuring high compatibility and flexible model switching.

Guides users through the AionUi Settings interface to enable WebUI, open remote access via LAN, Tailscale, or server deployment, fetch access credentials, and troubleshoot service issues without using the command line.

A comprehensive guide to securing Navan integrations and API access. This skill covers OAuth 2.0 best practices, secure credential storage, automated credential rotation, configuring Single Sign-On (SSO) via SAML/OpenID Connect, and implementing automated user lifecycle management using SCIM provisioning. Essential for hardening enterprise-level integrations.

This skill provides comprehensive API access to manage all aspects of a Webflow project. It covers site operations (publishing, listing), page metadata (SEO, Open Graph), handling form submissions, and full e-commerce functionality (products, SKUs, inventory, orders). Use this when automating site deployments, extracting form data, or managing product catalogs programmatically via the Data API v2.

This module provides multiple standardized abstractions for interacting with the OpenSearch API. It includes dedicated abstractions for clients, factories, and operational contexts, allowing developers to implement robust, scalable, and type-safe interactions with OpenSearch within the webiny ecosystem. Use these patterns to ensure consistent data access regardless of the specific usage pattern.

A comprehensive preflight checklist designed for authors submitting manuscripts to the Accounting, Organizations and Society (AOS) journal via Editorial Manager. It verifies all necessary components, including double-anonymization compliance, declarations (AI, ethics, interests), article types, and open-access decisions, ensuring readiness before the final submission.

A comprehensive guide for authors preparing the final, camera-ready version of a CVPR accepted paper. It details the multi-channel publication requirements (CVF open access, IEEE Xplore), the necessary steps for de-anonymization, ensuring timely dataset release, optimizing presentation formats (Oral, Poster), and conducting rigorous quality assurance checks before final submission.