vega-multi-tv-migration 是做什么的？
将Vega OS（Amazon Fire TV）应用程序迁移到支持Android TV、Apple TV等多平台的React Native单体仓库。涵盖分析、实现和原生模块集成。用于迁移电视应用以支持多平台，或构建新的多平台电视应用。
将Vega OS（Amazon Fire TV）应用程序迁移到支持Android TV、Apple TV等多平台的React Native单体仓库。涵盖分析、实现和原生模块集成。用于迁移电视应用以支持多平台，或构建新的多平台电视应用。
该技能用于将基于Vega OS（Amazon Fire TV）的应用程序迁移到多平台React Native单体仓库（monorepo）架构。迁移后，应用将支持Android TV、Apple TV等多种电视平台，并能实现统一代码管理与跨平台复用。技能涵盖全面的迁移流程：从现有Fire TV应用的代码分析、UI组件与业务逻辑的重构，到React Native原生模块的集成与适配。它适用于已部署的电视应用需要扩展到其他平台，或开发者从零开始构建支持多平台的电视应用。技能支持的主要平台包括Amazon Fire TV（Vega OS）、Android TV和Apple TV，并推荐使用相关开发工具与框架确保原生性能。通过此技能，团队可显著减少多平台维护成本，提升开发效率。
npx skills add https://github.com/amazonappdev/devices-agent-skills/tree/main/skills/vega-multi-tv-migrationInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
将Vega OS（Amazon Fire TV）应用程序迁移到支持Android TV、Apple TV等多平台的React Native单体仓库。涵盖分析、实现和原生模块集成。用于迁移电视应用以支持多平台，或构建新的多平台电视应用。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.