Skill UI

This skill provides a quantified design audit (0-100) for UI files based on StyleSeed's comprehensive design language. It breaks down the score into weighted categories (Color, Typography, Layout, etc.), identifies specific design violations, and generates a prioritized list of fixes, acting as a critical quality gate before deployment.

A comprehensive guide covering patterns and architectures for automating code execution using LLMs. It spans simple sequential pipelines (e.g., daily dev scripts) to advanced, RFC-driven multi-agent Directed Acyclic Graph (DAG) orchestration. Ideal for building CI/CD style continuous development pipelines, managing complex state, and automating quality gates without human intervention.

Code Health MCP provides structural maintainability feedback and design-level health scores, going beyond standard linting. It is crucial for AI-assisted coding workflows, allowing users to review code quality, verify score deltas after changes, and gate commits or pull requests to prevent codebase regression. Use it when refactoring, updating legacy modules, or ensuring the integrity of large diffs.

This pattern defines a robust, continuous loop structure for autonomous agents. It integrates crucial components like quality gates, evaluation harnesses, and explicit recovery controls. It guides complex workflows by defining decision paths (e.g., PR control, RFC decomposition) and includes strategies to mitigate common failure modes such as infinite loop churn or cost drift, ensuring measurable progress in autonomous systems.

A Stop hook that mechanically blocks Claude from finishing until quality checks pass. Detects rationalization patterns, stale learning logs, and low disk space using deterministic checks. Enforces learning capture habits for complex tasks.

A comprehensive, multi-phase checklist for ensuring the quality, security, and deployment readiness of Django applications. It covers linting (ruff, mypy), unit testing (pytest), database migrations, security audits (bandit, pip-audit), and performance checks, making it an essential quality gate for CI/CD pipelines before merging or deploying to production.

A comprehensive 7-section report providing a deep assessment of a repository's health and readiness level. It calculates key metrics including risk score, agent topology recommendations, MCP surface area, test confidence, and publish readiness. This tool is vital for pre-mint reviews, detecting architectural drift, and enforcing strict CI/CD quality gates.

This skill transforms you into an expert design system guideline author, specializing in creating structured, implementation-ready documentation for the Power brand. It provides a comprehensive workflow covering style foundations (color, typography, spacing), component anatomy, accessibility standards (keyboard-first, high contrast), and quality gates. Use it to ensure all digital products maintain superior aesthetic consistency, usability, and accessibility.

This skill reviews prediction market, basket, oracle, and trading-agent workflows to ensure compliance, safety, data quality, and privacy. It must be run before any workflow handles user portfolio data, venue authentication, API keys, or trade planning to mitigate execution and regulatory risks across multiple domains.

A comprehensive CI/CD quality gate for Quarkus microservices. This pipeline guides developers through critical stages: build integrity, static code analysis (Checkstyle, SonarQube), thorough unit/integration/API testing with coverage enforcement, dependency vulnerability scanning, native compilation validation (GraalVM), and performance load testing using K6. It ensures high code quality before PR or deployment.

This advanced pipeline orchestrates complex feature development based on Request for Comments (RFCs). It breaks down monolithic changes into small, independently verifiable work units, managing dependencies through a Directed Acyclic Graph (DAG). It includes multiple quality gates, dedicated unit testing, and a safe merge queue to ensure robust integration and controlled deployment.

RouterBase acts as a unified, OpenAI-compatible API gateway, allowing applications to route requests across diverse large language models (LLMs) like GPT, Claude, and Gemini. It helps developers migrate existing OpenAI SDK calls, implement sophisticated primary/fallback model selection based on cost, latency, and quality, and manage multimodal payloads (image, audio, video) from a single, standardized endpoint.