Skill UI

This tool analyzes and refactors code to detect and correct anemic domain models. It enforces rich domain modeling patterns (Entities, Value Objects, Aggregates, Domain Events), improving encapsulation and business logic ownership. Use it when validating, reviewing, or refactoring core domain logic to ensure adherence to Domain-Driven Design (DDD) principles.

This skill performs comprehensive, feature-level integration validation after all associated development tasks are implemented. It goes beyond checking individual tasks to ensure cross-task consistency, full test suite passage, and complete specification coverage. It validates data flow, architectural adherence, and performs critical security scans for residual issues (e.g., TODOs, hardcoded secrets), providing a holistic GO/NO-GO assessment for deployment. Use this skill as a final quality gate to verify that the completed feature set respects the designed boundaries and dependencies end-...

This tool assists engineers in transforming vague work logs into structured, evidence-backed impact statements for professional documentation. It uniquely mines Copilot CLI session logs, git commits, and GitHub PRs to reconstruct forgotten work. It enforces a mandatory 'Action → Result → Evidence' impact contract, making it indispensable for preparing performance reviews, promotion packets, and self-assessments.

This skill guides the process of transforming private, repetitive operational workflows developed in Hermes into sanitized, reusable artifacts suitable for the public ECC layer. It ensures that sensitive data, local file paths, personal credentials, and private state are stripped out, allowing the core pattern to be safely published for broader use.

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.

Generate a high-fidelity, multi-screen mobile prototype simulating a gamified experience, perfect for habit trackers, life management apps, or RPG concepts. The output features three distinct phone frames: cover/value proposition, daily quests dashboard, and detailed quest view, all presented on a single dark showcase stage. Ideal for visualizing user journeys and engagement mechanics.

This library facilitates compile-time dependency injection in Go using the google/wire framework. Unlike runtime container solutions that rely on reflection, Wire analyzes the entire dependency graph during compilation and generates plain Go constructor calls in `wire_gen.go`. This approach guarantees that dependency errors are caught during the build phase (via `wire ./...`), leading to highly robust, performant, and easy-to-debug Go applications.

Master the art of building robust, Unix-native Command Line Interfaces (CLIs) using the spf13/cobra library in Go. This skill covers the entire command tree lifecycle, including setting up subcommands, managing local and persistent flags, implementing advanced argument validation, and understanding the execution hook chain (RunE family). Essential for Go developers creating professional command-line tools.

A powerful utility that converts Markdown (`.md`) files into richly formatted Word (`.docx`) documents. Built using pure JavaScript, it requires no external dependencies like Pandoc or LibreOffice. Features include automatic generation of title pages (from YAML front-matter), dynamic table of contents, and accurate embedding of PNG images, making it ideal for technical documentation and reports.

Analyzes commit history using advanced heuristics to create a clean, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, infers feature types, and summarizes the functional impact, minimizing manual effort and required tokens. Ideal for maintaining consistency and improving code review clarity across large codebases.

This skill assesses the AI readiness of a codebase by running a comprehensive audit against multiple technical and governance pillars. It generates a self-contained, detailed HTML dashboard that provides an overall maturity score, identifies strengths, and, most importantly, delivers a prioritized remediation plan (Fix First / Fix Next). Ideal for auditing repositories before major AI feature development.

Manage and apply custom policies to customize readiness scoring across development artifacts. Users can set pass-rate thresholds, override criteria impact, or disable irrelevant checks to tailor scoring to specific organizational standards or project needs. Essential for CI gating and ensuring compliance.