game-cover-downloader-skill 是做什么的？
使用此批量命令行工具从Libretro数据库下载游戏封面和媒体文件，支持多种前端布局和自然语言AI集成。
使用此批量命令行工具从Libretro数据库下载游戏封面和媒体文件，支持多种前端布局和自然语言AI集成。
该技能是一个基于CLI的批量工具，专为游戏管理场景设计，可从Libretro数据库中高效下载游戏封面、截图及其他媒体资源。它支持多种前端布局（如ES-DE、RetroArch、LaunchBox等），并能根据用户配置自动适配。通过自然语言AI集成，用户可以用简单指令完成复杂的下载任务，无需手动查找文件。此外，该工具提供可定制的输出命名规则、覆盖策略和进度反馈，适合大规模游戏库的媒体资源管理。目前主要面向Windows/Linux/macOS平台的开发者与游戏爱好者，未来计划扩展更多数据库来源。
npx skills add trashy-whistler749/game-cover-downloader-skillInstalled? 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 →
使用此批量命令行工具从Libretro数据库下载游戏封面和媒体文件，支持多种前端布局和自然语言AI集成。
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.