Skill UI

Automates the standardization of GitHub repository metadata and configuration files. It polishes labels, issue templates, PR templates, CI workflows, CODEOWNERS, and rulesets without touching code logic. Ideal for new repos or improving existing ones. Requires gh CLI and git.

This skill enables deterministic fault injection testing for agent workflows to verify recovery mechanisms, state preservation, and safety boundaries. It generates fault matrices and event timelines to distinguish between recovered, contained, and unrecoverable failures without impacting production systems or real user data.

Learn to orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using tools like Prefect, Airflow, or Dagster. This skill covers scheduling recurring tasks, managing dependencies between data preparation and model serving, and building reliable, observable workflows for production AI systems.

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

AKF is an AI-native file format that embeds trust scores, source provenance, and compliance metadata into various file types like DOCX, PDF, and code. It supports auditing for regulations such as the EU AI Act, SOX, and HIPAA, ensuring transparency and accountability in AI-generated content workflows.

Master modern Angular state management using Signals, NgRx, and RxJS. This skill helps set up global state, manage component stores, choose between state solutions, and migrate from legacy patterns. Ideal for frontend architecture and application data flow.

This skill leverages Apify Actors to extract competitor data from various platforms including Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. It enables analysis of strategies, content, pricing, ads, and market positioning. Users can select specific actors for different needs like review analysis, ad monitoring, or profile metrics. The workflow involves fetching schemas, configuring inputs, running scripts, and summarizing findings for strategic decision-making.

Extract product data, prices, reviews, stock, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool, with guided workflows for price monitoring, review analysis, and seller discovery.

Design, test, and deploy an automated triage workflow for Monte Carlo data-observability alerts: fetch alerts, score incident likelihood and impact, run deep troubleshooting, and classify findings via MCP tools.

This Python SDK enables management of Azure Machine Learning resources including workspaces, jobs, models, datasets, compute clusters, and pipelines. It supports authentication, environment configuration, and best practices for reproducible ML workflows on Azure.

High-level .NET SDK for Azure AI Foundry projects, enabling agents, connections, datasets, deployments, evaluations, and indexes workflows with authentication and cleanup guidance.

A Python client library for managing Azure Blob Storage, enabling operations like uploading, downloading, listing, and deleting blobs. Supports authentication, SAS tokens, async workflows, and performance tuning for unstructured data storage.