Skill UI

Intelligent multi-strategy web scraper that selects between static WebFetch, browser automation, curl/bash, and WebSearch paths to extract structured tables, lists, pricing, and other data, with pagination handling, validation confidence, transforms, and CSV/JSON output for monitoring workflows.

A comprehensive guide for building modern, accessible, and scalable user interfaces using the shadcn/ui component library. This document outlines core principles, best practices for component composition, styling rules (including Tailwind CSS usage), and structured approaches for forms and layouts. Essential for developers building complex design systems and ensuring code consistency.

This utility converts a single, high-level objective into a comprehensive, step-by-step build plan suitable for complex, multi-agent, or multi-session engineering projects. It automatically handles dependency mapping, detects parallel steps, and structures each step with self-contained context briefs, ensuring any new agent can execute it without prior knowledge. Ideal for large-scale refactoring or feature development spanning multiple PRs.

A comprehensive guide to mastering structured concurrency, reactive streams, and state management in Kotlin. Covers advanced topics like Flow operators (debounce, retryWhen), StateFlow for UI state, and implementing robust asynchronous logic for Android and Kotlin Multiplatform projects. Essential for modern Android development.

Guides Sankhya dashboard developers on HTML/JSP/Java patterns, SQL sanitization, BI parameterization, and UI/UX consistency so dashboards load reliably with lazy-loading states and structured queries.

A comprehensive audit tool designed to check the technical health and search engine optimization (SEO) performance of any website. It covers critical areas including crawlability, indexability, Core Web Vitals (LCP, INP, CLS), site security headers, URL structure, and JavaScript rendering. Use this when optimizing for better search visibility and performance.

This skill orchestrates the entire coding lifecycle as a state machine, ensuring tasks proceed from issue intake through implementation, structured review, deployment, and final acceptance verification. It enforces a rigorous 'Definition of Done' (DoD) proof, moving beyond simple code changes. Ideal for complex feature development requiring structured handoffs and explicit verification evidence.

This skill enforces a mandatory, structured gate for starting new implementation tasks. It mandates that all work must be tracked via a GitHub issue, requiring explicit, testable acceptance criteria before any execution can begin. It defines a strict workflow (Problem, Goal, Scope, Acceptance Criteria, Status) to manage task readiness, ensuring that development only proceeds when criteria are fully defined and verifiable.

Generates structured RFC documents to propose and decide on major technical or process changes, guiding stakeholders through options, criteria, and approvals before execution.

Validates SKILL.md files against the agentskills specification and Anthropic best practices, catching structure, semantic, naming, and quality issues in a single read-only pass before publishing or debugging skills.

A comprehensive guide detailing idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and highly maintainable Kotlin applications. Topics include null safety, immutability, sealed classes, structured concurrency, and type-safe DSL builders.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.