Skill UI

Provides comprehensive guidelines for achieving high reproducibility in Machine Learning Systems (MLSys) performance claims. It details how to rigorously control sources of non-determinism (e.g., thermal noise, random seeds) and pin the entire technical stack—from hardware and drivers to frameworks and serving policies—to ensure results can be validated by third parties.

A comprehensive tool designed to help developers compare multiple technical approaches for solving a single problem. It systematically identifies and analyzes the trade-offs, complexity, performance, and learning curves associated with different design patterns (e.g., state management, data fetching, API design). Ideal for architectural reviews and making informed, robust technology stack decisions.

This advanced skill initializes the Software Development Documentation (SDD) context within a project. It detects the entire technical stack, conventions, testing tools, and persistence mode across all discovered projects. It then structures and persists this comprehensive context, including building a skill registry and determining the strict TDD status, ensuring a robust starting point for development.

This skill injects domain-specific intelligence, regulatory requirements, and industry-standard UX patterns into a project once its niche is identified. It generates a specialized dossier in Spanish covering industry stack, compliance norms, niche UX patterns, and hidden pain points. It distinguishes verified sources from hypotheses and ensures technical excellence within the specific sector context without replacing legal or expert review.

Analyze a repository to generate recommended Claude Code settings.json permissions for read-only commands. Detects tech stack, build tools, and monorepo structure to build an evidence-based allow list. Use when setting up a new project, auditing existing settings, or determining which bash commands to allow.

A methodology for managing project context as structured artifacts alongside code to ensure consistent AI interactions and team alignment. It involves defining product vision, tech stack, and workflows before implementation, supporting both new and existing projects.

This skill involves systematically monitoring developer conversations across technical platforms like GitHub, Reddit, and Stack Overflow to understand brand perception and competitive positioning. It helps identify user sentiment, find engagement opportunities, and gather unfiltered product feedback. By tracking mentions and discussions, you can detect churn risks, discover content gaps, and respond to buy intent signals effectively.

SEO strategy for technical queries and developer audiences, covering keyword research, error message SEO, Stack Overflow-style content, technical long-tail keywords, and competing with official docs.

Reverse engineer EDR internals including user-mode hook tables, ETW, and AMSI to study bypass techniques like direct syscalls, Hell's Gate, and call-stack spoofing. This skill is designed for authorized red-team research and security assessments within controlled lab environments, focusing on Windows endpoint protection evasion.

This skill acts as a specialized expert for transitioning codebases across various frameworks, languages, versions, and platforms. It generates detailed migration plans, automated migration scripts, comprehensive risk assessments, and rollback strategies. Use it when upgrading technology stacks or moving code between disparate systems to ensure minimal disruption and maintain core functionality.

This skill creates or updates a shared Apple design context document for other HIG skills. It auto-discovers project details from code and assets, then gathers information on product overview, platforms, technology stack, design system, accessibility, and user context. The output is a structured markdown file used to tailor subsequent design guidance.

This skill acts as a loader for the /hunt orchestrator, facilitating authorized security assessments. It enforces strict scope boundaries and requires explicit written authorization before execution. The tool includes baseline checks to avoid false positives and fingerprinting capabilities to identify technology stacks like Next.js or cloud providers. It focuses on generating reproducible findings for remediation rather than exploitation.