Skill UI

This is a high-level Software Development Kit (SDK) designed for managing the full lifecycle of AI projects within Azure AI Foundry. Built for Java, it provides robust client interfaces for core AI operations, including managing connections to Azure resources, uploading and managing datasets, creating and updating search indexes, running model evaluations, and handling deployments. It streamlines complex AI workflow orchestration.

This is a high-level Software Development Kit (SDK) designed for managing the full lifecycle of AI projects within Azure AI Foundry. Built for Java, it provides robust client interfaces for core AI operations, including managing connections to Azure resources, uploading and managing datasets, creating and updating search indexes, running model evaluations, and handling deployments. It streamlines complex AI workflow orchestration.

Provides a comprehensive workflow for developing against Customer.io in local or staging environments. It implements environment isolation, dry-run clients, and service mocks to ensure development work does not affect production data, making unit and integration testing safe and reliable.

Guides Nx generator usage in monorepos, covering discovery, schema inspection, context analysis, dry runs, and execution with --no-interactive to scaffold projects, libraries, and features while preferring workspace plugins.

An enterprise-grade agent designed to manage the entire lifecycle of skills within an ecosystem. It handles installation, deep validation (including 10 security checks), registration, and post-installation verification. Features include automatic repair, rollback, dry-run simulation, and a comprehensive status dashboard, ensuring maximum redundancy and system integrity.

CLI helper that forwards a Gmail message to new recipients while preserving the original thread, attachments, and formatting; supports notes, HTML content, CC/BCC, attachment overrides, dry-run inspections, and draft saving for streamlined workflow automation.

Fetches a Gmail message by ID and extracts its body or headers, with options for text or JSON output, HTML decoding, and dry-run previews to streamline email inspection in scripts.

CLI skill that replies to Gmail messages given a message ID, automatically sets threading headers, quotes the original, and supports attachments, HTML bodies, drafts, and dry runs for efficient follow-up.

Command-line skill for sending Gmail messages with recipients, subject, body, HTML, attachments, CC/BCC, drafts, and a dry-run preview so automation scripts can deliver reports or notifications while respecting RFC encoding.

Persona for IT administrators to monitor Workspace security, configure Drive sharing policies, and run workflows for standup reporting and audit review while emphasizing dry-run checks and auth-status verification.

Reviews Python + BigQuery pipelines to flag runaway costs, missing dry-run safeguards, unsafe backfills, write idempotency issues, and monitoring gaps, returning a structured report with exact function/line references for minimal fixes.

Guides agents through validation, dry-run MCP tool usage, and monitors-as-code YAML generation so Monte Carlo monitors can be established via CLI or CI/CD without directly creating assets.