Skill UI

This expert skill specializes in guiding comprehensive GitHub issue resolution. It covers systematic bug investigation, feature implementation, and collaborative development workflows. Expertise includes issue triage, root cause analysis, test-driven development, and professional pull request management, ensuring vague reports are transformed into production-ready code following modern CI/CD practices.

This secondary workflow automates post-meeting follow-up processes. It intelligently extracts action items, inferring priority and assignees, and synchronizes these tasks to external project management tools (e.g., Asana, Jira, Linear). It also generates and sends follow-up emails, creating a complete, automated task lifecycle management system.

This comprehensive guide outlines the production-grade reference architecture for advanced AI meeting systems using TwinMind. It details the end-to-end workflow, integrating high-accuracy transcription (Ear-3), AI summarization (GPT-4, Claude, Gemini), memory vault management, and automatic action item and calendar integration. Use this resource when implementing or managing a robust, automated AI meeting solution.

This expert guide provides comprehensive best practices for developing robust, high-performance C++ code within Unreal Engine 5.x. It covers critical topics such as UObject lifecycle management, adhering to Epic Games' strict coding conventions, optimizing performance-critical sections (e.g., avoiding unnecessary Ticking), and correctly using soft references for asset loading. Use this skill for professional game development tasks requiring deep knowledge of the Unreal reflection system and advanced C++ patterns.

This guide details the production-grade reference architecture for running complex GPU compute workflows on Vast.ai. It covers the foundational three-tier pattern—Orchestrator, GPU Workers, and Artifact Storage—providing blueprints for job queue management, fault-tolerant training pipelines, and robust checkpointing. Use this when designing scalable and reliable ML/AI training systems.

A comprehensive, multi-phase checklist designed for the systematic rollout of AI coding assistants (like Windsurf) to development teams or entire enterprises. It covers critical areas including workspace configuration, security hardening (SSO/SAML, secret management), establishing team AI policies, structured developer onboarding, key performance indicator (KPI) monitoring, and emergency rollback procedures.

Guides medical device teams through preparing ISO 13485:2016 Quality Management System documentation by combining gap analysis, requirements references, templates, and step-by-step creation workflows for manuals, procedures, and compliance artifacts.

This skill provides complete, programmatic integration with the protocols.io API v3, enabling advanced management of scientific protocols. Use it for the entire protocol lifecycle, including discovery by DOI or keywords, creating new protocols, managing steps and materials, coordinating collaborative development, organizing workspaces, and tracking experiments. It covers authentication, file handling, and discussion management, making it ideal for automated lab workflows and scientific documentation systems.

Expert system for designing and optimizing revenue operations systems connecting marketing, sales, and customer success. Covers lead lifecycle management, lead scoring, MQL/SQL definitions, handoff SLAs, and pipeline stages to unify the revenue engine and improve conversion rates.

This comprehensive guide covers implementing production-grade billing systems using Stripe. It details features like subscriptions with trials and proration, usage-based billing, checkout session management, idempotent webhook handling, and customer portal integration. Applicable for Next.js, Express, and Django environments, making it ideal for setting up or debugging complex payment workflows.

Build a comprehensive, real-time support chat system designed for modern applications. This solution provides a floating, user-facing chat widget for instant customer inquiries and a robust admin dashboard for support staff. It handles real-time messaging, chat history management, and notification systems via WebSockets, making it ideal for integrating live support channels into any platform.

This pattern addresses the fundamental limitation of context window size by treating the filesystem as a persistent, external memory. Agents can write large outputs, plans, or findings to files, offloading them from the active context. Instead of carrying all information, agents use targeted search and retrieval tools to load only the necessary context on demand, drastically reducing token bloat and improving performance over long, complex tasks.