Skill UI

A specialized expert for designing and implementing robust CI/CD pipelines, GitHub Actions workflows, and automated development processes. This skill helps automate complex deployment stages, enforce quality gates, manage secrets securely, and ensure reliable, repeatable software delivery. Ideal for streamlining build, test, and deployment cycles.

A framework for designing and orchestrating collaborative AI agent teams. It allows users to define specialized agent personas, assign clear roles and responsibilities, and structure complex workflows through defined tasks. Supports sequential, hierarchical, and planning process types, making it ideal for complex, multi-step automation tasks.

Guides teams through discovery, research, moodboards, palettes, typography, and Tailwind-ready code so they can ship distinctive, accessible front-end experiences with process validation.

Auto-activating skill that guides business users through email parser setup, pattern design, and production-ready workflows for automating email handling and related business processes.

This skill guides the implementation of robust and resilient error handling strategies across applications. It covers techniques like implementing retry mechanisms, circuit breakers, and managing asynchronous errors. Use this when designing fault-tolerant APIs, improving application reliability, and guiding debugging processes in production environments to ensure graceful failure.

Frontend Blueprint is an AI design consultant that structures discovery before coding, asking targeted questions, collecting references, and validating direction to deliver pixel-faithful UI components only when the context is clear.

This skill provides comprehensive support for designing, calibrating, and standardizing entire role-based interview loops and hiring pipelines. It helps users structure competency assessments, generate targeted questions, reduce interviewer bias, and ensure the hiring process is consistent, objective, and aligned with core role competencies. Ideal for HR teams, hiring managers, and talent development professionals.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

Automates the process of posting job openings on X by collecting role details, generating imagery, crafting platform-friendly copy, and driving a Playwright-backed publish script, ideal for AI or design recruitment campaigns.

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

This tool is designed for defining and scaffolding production-grade, multi-agent workflows. It allows developers to move beyond single prompts by structuring complex tasks into explicit steps. Core capabilities include selecting workflow patterns (e.g., sequential, parallel, orchestrator), defining handoff contracts, implementing error recovery strategies, and enforcing context and cost discipline across long-running AI processes.