Skill UI

Automatically detects and loads specialized agent instructions from the `AGENTS.md` file in the current working directory. This skill seamlessly integrates project-specific rules and behavioral guidelines into the AI's session context, ensuring the AI operates according to project standards without manual intervention. It is crucial for maintaining specialized agent behaviors across different development tasks and directory changes.

Automates alertmanager rule configuration tasks in DevOps contexts, supplying best practices, production-ready code, validation, and step-by-step guidance for Kubernetes/Terraform monitoring setups.

Automate Amcards operations by driving Composio’s toolkit through Rube MCP: always call RUBE_SEARCH_TOOLS to get current schemas, confirm the Amcards connection via RUBE_MANAGE_CONNECTIONS, and then execute workflows with RUBE_MULTI_EXECUTE_TOOL while honoring memory and session rules.

Automate Amcards operations by driving Composio’s toolkit through Rube MCP: always call RUBE_SEARCH_TOOLS to get current schemas, confirm the Amcards connection via RUBE_MANAGE_CONNECTIONS, and then execute workflows with RUBE_MULTI_EXECUTE_TOOL while honoring memory and session rules.

This skill defines the mandatory conventions and architectural rules for developing maintainable, cross-platform applications using Avalonia UI and the Zafiro toolkit. It enforces a functional-reactive MVVM approach, prioritizing explicit error handling via Result types, and mandates leveraging Zafiro's existing abstractions to ensure code quality and predictability.

A comprehensive Java SDK client for securely and efficiently sending custom application logs to Azure Monitor. It utilizes Data Collection Rules (DCR) and Data Collection Endpoints (DCE) to manage the ingestion process. The client supports batch uploads, concurrent processing, and robust error handling, making it ideal for integrating custom logging into Azure Log Analytics workspaces.

This SDK provides comprehensive programmatic management capabilities for Azure MySQL Flexible Server deployments using C# and the .NET framework. Developers can automate the entire database lifecycle, including server creation, database provisioning, configuring firewall rules, updating server parameters, and managing Entra ID administrators, all through Azure Resource Manager APIs. Ideal for DevOps pipelines and cloud infrastructure automation.

This skill provides the Azure Resource Manager SDK for .NET, enabling developers to programmatically manage PostgreSQL Flexible Server deployments on Azure. It covers core cloud automation workflows such as creating the server, setting up databases, configuring firewall rules, and updating server parameters using C# code. Ideal for cloud infrastructure management and CI/CD pipelines.

This SDK provides full management plane capabilities for Azure Cache for Redis within the .NET ecosystem. It allows developers to provision, configure, and manage various aspects of the Redis resource using the Azure Resource Manager (ARM) framework. Key functions include creating and updating cache instances, managing network firewall rules, rotating access keys, scheduling patch updates, and performing data import/export operations.

This SDK provides the management plane interface for provisioning and managing Azure SQL resources (like servers, databases, elastic pools, and firewall rules) within the Azure Resource Manager framework. Built for .NET developers, it allows users to programmatically handle infrastructure setup and configuration, making it ideal for DevOps automation and infrastructure-as-code workflows.

cargo-fuzz provides a Cargo subcommand that lets Rust projects fuzz with libFuzzer, automating sanitizer flags, corpus/dictionary handling, crash replay, coverage reports, and harness rules, so teams can quickly validate unsafe-aware code.

A comprehensive guide and set of patterns for optimizing build processes using Bazel in large-scale monorepositories. Covers configuring WORKSPACE, managing remote caching/execution, defining custom rules (Python, TypeScript), and best practices for maintaining build performance and consistency across massive codebases.