Coding standards, frameworks, refactoring, and code review (16.9K skills)
Plan game development by choosing specialized skills for the target platform, 2D or 3D graphics, and gameplay needs. Get guidance on shared foundations such as game loops, input handling, design patterns, and performance budgets.
Turn a codebase into architecture documentation with Mermaid diagrams. Using the C4 model, a way to describe systems at different levels of detail, the skill explains external relationships, applications, internal components, deployment, and request flows.
Implement interfaces from Figma designs using the Figma MCP server. Retrieve design structure, screenshots, variables, and assets, then adapt the generated code to existing project components and styles and check it against the design.
Turns Figma screens and components into code that follows an existing project’s conventions. Uses design specifications, screenshots, and assets to guide implementation, reuse existing components, and check the finished interface against the design.
Build voice applications and phone agents with guidance on OpenAI Realtime API, Vapi, Deepgram, ElevenLabs, and LiveKit. Choose services for speech recognition, voice generation, and live communication, while addressing response delays and interruptions.
Approach engineering problems by checking assumptions, defining performance constraints, and choosing suitable tools before implementation. The skill guides algorithm analysis, complete code, performance optimization, and correctness checks through tests, assertions, or formal verification, meaning mathematical checks of correctness.
Coordinate specialized agents in Claude Code to divide development and review tasks, pass findings between stages, and combine results into one report with prioritized recommendations and action items.
Execute an implementation plan in one session by assigning a fresh subagent, a separate task-focused agent, to each task. Check specification compliance first, then code quality, and repeat fixes and reviews before proceeding.
Design focused products built around AI APIs, with guidance on prompts, model selection, output validation, and user experience. Track usage and set cost limits to connect product behavior with operating costs and pricing decisions.
Turn a plain-language app request into a technology choice, project structure, and development plan. The skill coordinates specialist agents across interface, server, and database work, with templates for web, mobile, desktop, and other applications.
Turn a feature idea into a detailed implementation plan through research, interviews, and reviews by Gemini and Codex. Produce self-contained work sections with dependencies and acceptance criteria, plus files for supported automated implementation workflows.
Find current official documentation for OpenAI products and APIs, then get concise guidance with source citations. Use it to check implementation approaches, model capabilities, and limits, with code examples grounded in the documentation.
Run Gemini CLI to review code, assess technical plans, and analyze large collections of files. Choose a model and execution settings for the task, then capture findings about security, maintainability, architecture, or technical debt.
Coordinates specialist agents in Claude Code to work from product requirements through design, implementation, testing, deployment, and operations. Includes task queues, saved progress, parallel reviews, and recovery workflows for managing extended development work.
Build AI agents that inspect screenshots, choose actions, and operate a mouse and keyboard. Covers the observation and action loop, desktop control examples, and isolated environments that restrict access to files, credentials, and networks.
Configure Claude Code and improve how you assign coding tasks. This guide provides a CLAUDE.md template, practical prompting examples, debugging approaches using logs, and a workflow for making and checking small changes.
Search automatically generated code documentation to check function parameters, class definitions, API details, and comments before making changes. Find relevant documents by meaning, exact keywords, or document type, then retrieve their full contents.
Query an indexed code graph, a database of code relationships, to find callers, dependencies, model associations, and call paths. Use the results to understand which components may need attention before changing a function or model.
Turn Figma designs into React and TypeScript components using coderio. The workflow uses design thumbnails to guide layout, extracts component structure and data, and generates code and assets for integration into an application.
Automatically retrieves current library and framework documentation through the Context7 API during Claude Code conversations. Use it when asking about tools such as React, Next.js, or Prisma and needing up-to-date reference material.
Design tools that AI agents can understand and call correctly. Covers JSON Schema, a format for defining inputs, along with clear descriptions, input examples, validation, and error responses that help agents recover from failures.
Develop Garry's Mod addons with guidance on Lua scripts, file organization, assets, and packaging. Covers server and client execution contexts, API lookup, and debugging, with in-game testing included in the workflow.
Gives AI agents persistent project memory for architecture, implementation patterns, and decisions. Supports saving, searching, and retrieving knowledge, automatically syncing it with project documentation, and viewing memory usage through a dashboard.
Adapt an AI agent’s approach to brainstorming, implementation, debugging, review, teaching, or release preparation. Defines how each mode should ask questions, prioritize work, and present results, with automatic mode selection and explicit switching examples.