Skill UI

This skill provides a systematic pipeline for safely executing large-scale code refactors across multiple files or subsystems. It first performs parallel, dependency-aware analysis to map the entire scope, synthesizing a single, actionable plan. The process then breaks the work into independent 'work packets,' which are executed sequentially or in parallel by specialized worker agents, ensuring strict dependency management and behavior parity throughout the entire process.

An expert guide for reducing large-scale LLM API costs (40-80%). Learn engineering techniques like model routing, prompt caching, and output length control to make every token count. Essential for engineers building cost-efficient AI features and robust endpoints.

This skill provides expert guidance on treating prompts as first-class infrastructure. It covers prompt registry design, systematic versioning, A/B testing, and building comprehensive evaluation pipelines. It ensures that prompt changes are rigorously tested and deployed safely, preventing quality regressions in production AI features at scale.

Automates the complex pre-development workflow for large-scale system transformations, such as major rewrites, migrations, or overhauls. This skill performs comprehensive project analysis, task decomposition, planning document generation, and sets up detailed progress tracking across multiple phases, ensuring a structured approach before any coding begins. It supports adaptive control and integrates robust task tracking via GitHub or local files.

Utilize Modal, a serverless GPU cloud, for running complex machine learning workloads, including training, fine-tuning, and inference. This tool provides a zero-config environment, eliminating the need for SSH setup or Docker management. It features automatic scale-to-zero billing and local-first execution, making high-powered GPU compute accessible for debugging and small-scale experiments.

Guidance for implementing Cloud Firestore in Flutter: selecting the database, configuring offline persistence, designing schemas, querying with filters and pagination, writing batched transactions, indexing, optimizing for scale, and avoiding write hotspots.

A comprehensive guide and skill for generating and auditing high-quality technical documentation for Go projects. It covers writing accurate godoc comments, READMEs, CONTRIBUTING, and CHANGELOGs for both libraries and CLIs, adhering to professional best practices. Supports multi-agent orchestration for large-scale codebases.

This skill acts as a comprehensive Go modernization engineer, scanning entire codebases to update outdated patterns, deprecated APIs, and standard library usage. It utilizes multi-agent orchestration to check language features, testing patterns, and tooling/infra, ensuring the codebase adheres to the latest Go idioms for maximum safety and readability. Ideal for CI/CD pipelines or large-scale code reviews.

A design skill for architecting web interfaces with industrial brutalism and tactical telemetry aesthetics. It merges mid-century Swiss typography, industrial manuals, and retro-futuristic aerospace terminals, using rigid grids, extreme scale contrast, utilitarian colors, and analog degradation simulations. Opt-in, invoked by name.

Copilot Spaces allow users to consolidate and manage project-specific knowledge, including documentation, code snippets, architectural standards, and operational instructions. By loading a Space, Copilot grounds its responses not just on general knowledge, but on the curated, authoritative context of the entire project, enabling accurate Q&A, code generation, and workflow execution based on team standards. Ideal for onboarding, large-scale projects, and maintaining consistency.

This comprehensive guide provides a structured set of prompts to manage the entire lifecycle of upgrading a legacy .NET solution. It covers everything from initial project classification and dependency compatibility review to code modernization (e.g., async conversion), updating CI/CD pipelines, and defining robust testing and deployment strategies. Ideal for large-scale migration of older .NET applications to modern frameworks like .NET 8.

Govern Power Automate flows and Power Apps at scale using the FlowStudio MCP cached store. Classify flows by business impact, detect orphaned resources, audit connector usage, enforce compliance standards, manage notification rules, and compute governance scores—all without Dataverse or the CoE Starter Kit. Requires FlowStudio for Teams or MCP Pro+ subscription.