Skill UI

This skill guides the complete Go performance measurement workflow. Learn how to write robust benchmarks using `b.Loop()`, run detailed tests with flags like `-benchmem` and `-cpuprofile`, interpret memory and CPU profiles, statistically compare performance changes, and document optimization results in git commits. It ensures deep, data-driven performance analysis for Go applications.

Adds samber/oops structured error builders to Go services, giving stack traces, codes, user-friendly messages, panic recovery, and exporter-friendly attributes for observability and diagnostics.

A sophisticated meta-skill designed for autonomous, rigorous development cycles. It implements a multi-stage 'Gate Protocol' using an external 'Oracle Hook' that independently verifies the completion status, preventing the AI from self-deceiving. Features include Failure Memory (ASI), Stall Detection for forced reflection, and an escalating 'Pressure Upgrade' mechanism to ensure deep root cause analysis. This system runs until external verification confirms success, guaranteeing maximum code quality and robustness.

A comprehensive skill guide for building complex, feature-rich web games and game engines using modern web technologies like HTML5, Canvas, WebGL, and JavaScript. Covers full 2D and 3D game development workflows, including implementing the game loop, physics simulation (collision detection, Newtonian physics), handling diverse input methods (touch, gamepad), managing assets, and integrating multiplayer features via WebRTC. Ideal for creating everything from simple platformers to advanced 3D simulations.

A comprehensive guide detailing best practices for building, reviewing, and deploying Salesforce Flows. This skill covers selecting the correct Flow type (e.g., Screen, After-Save), ensuring bulk safety by preventing DML/SOQL in loops, implementing robust fault handling paths, and performing automation density checks to ensure scalable and resilient automation.

A Socratic mentoring workflow that coaches junior developers and AI newcomers through questions, encouraging reflection, Copilot-assisted loops, and safe learning practices without handing out solutions.

This micro-prompt guides AI agents to adopt the mindset of an interactive programmer. It emphasizes using the REPL (Read-Eval-Print Loop) for systematic system exploration and modification, treating the system state as the ultimate source of truth. It also reminds the agent to utilize structural editing tools and maintain todo lists, significantly improving the accuracy and efficiency of the development workflow in live coding environments.

This guide details setting up a robust, local development loop for Adobe integrations (Firefly, PDF, Photoshop). It covers using the `aio` CLI for App Builder, implementing hot reload, and establishing unit/integration testing with mocking to ensure rapid, reliable iteration cycles for Adobe APIs.

A comprehensive guide to setting up a full-cycle local Web3 development workflow. This skill utilizes Alchemy as the RPC provider, Hardhat for local unit testing, and integrates Mainnet forking and Sepolia testnet deployment. It covers initializing the project, configuring smart contract interactions, and implementing advanced testing patterns.

This guide provides a comprehensive, reproducible workflow for setting up an Algolia local development environment. It covers creating separate development indices, seeding mock data, and implementing client mocking for unit tests. This process ensures fast, safe iteration cycles, allowing developers to build and test search features without ever touching production data.

Implements an iterative development workflow using the Anima SDK. This tool allows developers to quickly generate, compare, and preview code outputs from Figma designs across multiple frameworks (React, Vue, HTML/CSS) in a local environment. Ideal for rapid prototyping, cross-framework comparison, and refining design-to-code implementation.

This guide provides a comprehensive setup for a fast and reliable local development loop for applications powered by the Anthropic Claude API. It covers environment management, implementing hot reloading, tracking API usage costs, and utilizing mock responses to ensure a smooth, rapid iteration cycle for AI developers.