Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
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端到端自主 AI 科研引擎 — 从研究想法到完整论文，全程自动化 快速开始 · 效果展示 · 流水线 · Claude Code · 飞书机器人 🔬 NanoResearch 真正运行计算实验——它不仅生成代码，还能将代码提交到 GPU 集群执行训练，收集真实实验结果，生成论文配图，最终输出一篇有实验数据支撑的完整 LaTeX 论文。论文中的每一个数据、表格、图表都来自实际运行的实验结果，而非 LLM 编造。
@openraiserVision-in-the-Loop Academic Typesetting Agent System PaperFit 是面向 Claude Code、Codex、Cursor 的 LaTeX 论文排版 Agent System。你只需要在论文项目根目录描述目标，PaperFit 会自动完成编译、页图渲染、视觉诊断、源码修复与最终验收。 为什么需要 · 核心能力 · 效果展示 · 快速开始 · 安装 · 使用方法 · 工作流 · 架构
@openraiserOrchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization…
@openraiserGenerates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships…
@openraiserSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device…
@openraiserGuides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between…
@openraiser本技能专门处理 **Category C：排版一致性缺陷**，包括：
@openraiserApplies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging…
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