Skill UI

Provides a detailed, paragraph-level structural guide and page allocation blueprint specifically tailored for publishing top-tier systems papers (e.g., OSDI, SOSP, ASPLOS, NSDI). It includes mandatory templates for Abstract, Introduction (Problem-Gap-Insight), Design, and Evaluation, ensuring adherence to the highest academic standards.

A comprehensive guide for writing, debugging, and maintaining Windows batch files (.bat/.cmd). This skill covers advanced CMD scripting techniques, including environment variable management, complex control flow (IF, FOR), argument parsing, delayed expansion, and command chaining. Ideal for automating system tasks, creating command-line utilities (CLI), managing deployments, or writing scheduled task scripts in Windows environments.

This comprehensive guide serves as a decision flowchart for developers using Claude Code. It details when to use specific slash commands (/plan, /compact, /loop), select specialized agents (planner, code-reviewer, build-error-resolver), or invoke workflow skills (e2e-testing, tdd-workflow). It helps users select the optimal tool combination for complex tasks across the entire software development lifecycle, including feature planning, bug fixing, testing, and architectural design.

This skill guides the implementation of robust GraphQL APIs using Golang. It covers best practices for schema design (SDL), writing efficient resolvers, and critically, preventing N+1 database query issues using DataLoaders. Essential for building scalable, production-ready backend services.

This skill guides the systematic migration of Java enterprise code from the legacy `javax.*` namespace to the modern `jakarta.*` namespace. It is essential for developers upgrading applications to Jakarta EE 10 or running on Tomcat 11+. The process covers updating imports, modifying dependency coordinates in build files (pom.xml), and adapting web deployment descriptors.

This skill guides the process of converting complex, repetitive, and often private operational workflows originating in the Hermes environment into safe, reusable, and public skills for the ECC workflow layer. It focuses heavily on data sanitization, requiring users to strip out all sensitive information such as absolute paths, private credentials, personal identifiers, and proprietary data before publication. Use this when an internal 'operator' routine needs to become a standardized, shareable business asset.

This skill guides the end-to-end development, implementation, and validation of production-ready Python modules for Azure IoT Edge. It covers critical aspects including telemetry processing, protocol adaptation (Modbus, OPC-UA), local inference, and ensuring robust, secure edge-to-cloud messaging under variable network conditions.

This skill creates a comprehensive, three-column documentation page in pure HTML. It is ideal when the brief requires a professional "guide," "tutorial," or "API reference." It includes structured elements like a sticky left navigation sidebar, a main article body, and a dynamic right Table of Contents, ensuring technical content is highly readable and navigable.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This assistant guides users through managing Azure resources entirely via the command line using the Azure CLI (`az`). It identifies the correct commands, prompts for missing required parameters (like resource groups or locations), constructs the full command sequence, executes the action, and diagnoses any output errors to ensure successful deployment and configuration of services across Compute, Networking, and other Azure domains.

A systematic, multi-phase guide for tackling hard bugs and performance regressions. It mandates building a robust feedback loop (e.g., failing tests, harnesses), formulating falsifiable hypotheses, targeted instrumentation, and rigorous regression testing. This methodology ensures that debugging efforts are structured, efficient, and highly reproducible, making it ideal for complex software defects.

Guides assessment of KRACK and FragAttacks against WPA2 clients, including official test scripts, likely vulnerable embedded and legacy devices, practical impact, detection, and reporting for modern penetration testing.