Skill UI

This skill manages comprehensive software development life cycle operations—including issue triage, PR reviews, version releases, bug fixing, and marketing content generation. It operates using a parallel "agent army" of dynamic agents (10-20 per task), requiring the user to adopt an Engineering Manager (EM) mindset. Key principles involve rigorous citation checking (anti-hallucination) and applying multiple roles (Product Owner, Open Source Contributor, Architect) simultaneously to ensure robust, safe, and user-centric outcomes across all platforms.

Context Engineering Protocol optimizes agent sessions by curating persistent rules, specs, source files, and feedback so outputs stay focused, accurate, and aligned with conventions whenever you start work or the quality drops.

Guides engineering teams through planning and executing deprecation, migration, and removal of legacy systems, ensuring replacements, tooling, and communication keep users safe.

Guides building production-ready user interfaces with thoughtful component architecture, consistent spacing, typography, color, and accessibility standards while avoiding generic AI aesthetics and over-configured patterns.

A comprehensive guide and toolset for Go code quality engineering using `golangci-lint`. It covers setting up production-grade linters via `.golangci.yml`, running automated checks, auto-fixing issues, and interpreting complex lint output. Use this when enforcing coding standards, improving CI/CD pipelines, or managing code compliance in large Go projects. It treats linting as an integral part of the development workflow.

A comprehensive skill for engineering high-quality, observable Go services. It guides best practices across five key signals: structured logging (slog), Prometheus metrics, OpenTelemetry tracing, continuous profiling (pprof), and RUM. Use this when instrumenting new features, reviewing PRs, or auditing entire codebases to ensure systems are fully measurable for reliable diagnosis and alerting.

This meta-skill provides a comprehensive framework for navigating the entire software development lifecycle. It guides users through structured processes—from idea refinement and specification to incremental implementation, rigorous testing, code review, and final deployment. Use it to ensure systematic development, avoid common pitfalls, and apply the correct methodology at every stage of a project.

This skill provides comprehensive capabilities for managing the entire issue lifecycle on GitHub. Users can create structured bug reports, feature requests, and tasks, and also read, list, and update existing issues. It supports setting labels, assigning owners, managing milestones, and tracking complex dependencies. Ideal for engineering teams needing robust project backlog management.

This skill is designed for professional workflow engineering using the n8n platform. It guides the user through the entire lifecycle, including creating, editing, validating, synchronizing (push/pull), and troubleshooting complex workflows. It strictly enforces context-root protocols, adheres to sync discipline, and requires using schema-first research to ensure technical accuracy, making it ideal for advanced automation development.

Expert skill for generating production-quality Python scripts specifically for the FreeCAD CAD application. This includes automating complex 3D modeling tasks, creating parametric FeaturePython objects, performing advanced geometric operations (Boolean, Fillet, Loft), building custom GUI tools using PySide, and handling mesh/FEM analyses via the FreeCAD Python API. Ideal for CAD automation and engineering visualization.

A comprehensive guide for engineers, architects, and DevOps teams on implementing General Data Protection Regulation (GDPR) best practices. This skill covers Privacy by Design, data minimization, purpose limitation, retention policies, secure API design, and compliant logging practices. Use it when handling any personal data, designing new features, or reviewing systems for data privacy compliance.

A comprehensive, multi-phase quality engineering audit tool designed to test codebases beyond standard unit tests. It first explores the codebase's domain and architecture to derive behavioral requirements, then executes a rigorous sequence including spec-traced functional tests, three-pass code reviews, and a multi-model specification audit (Council of Three). It is specifically engineered to find the critical 35% of real-world defects that structural code review alone might miss. Works with any programming language.