aar-skills 是做什么的？
模块化研究Agent技能：GPU作业、声明验证。提取自一个正在运行的自主研究实验室。
模块化研究Agent技能：GPU作业、声明验证。提取自一个正在运行的自主研究实验室。
该技能包提供了从自动研究实验室（Autonomous Research Lab）中提取的模块化研究Agent能力。它包含两个核心技能：一是GPU作业管理，允许Agent调度和执行GPU密集型任务；二是声明验证，帮助Agent自动验证研究声明或事实陈述。这些技能被设计为可插拔模块，可以轻松集成到支持Agent技能扩展的AI平台（如Claude Code、OpenAI Agents SDK等）中。通过使用aar-skills，开发者可以为自己的Agent赋予底层硬件资源调度和高级研究验证能力，从而构建更自主、更可靠的研究工作流。该技能包非常适合需要在研究环境中运行复杂计算并验证输出的开发者。
npx skills add antondelafuente/aar-skillsInstalled? 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 →
模块化研究Agent技能：GPU作业、声明验证。提取自一个正在运行的自主研究实验室。
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.