Explorar skills

使用 OpenUI 构建生成式 UI 应用 — 支持任意 LLM 提供商、任意后端语言。脚手架、集成、验证。

OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.

OpenUI generative UI with Python FastAPI backend. OpenAI and Anthropic SDK variants.

OpenUI generative UI with Vercel AI SDK. streamText, toUIMessageStreamResponse, and tools support.

自动课题研究器。给定一个研究课题，自动循环执行"提问→检索→整理→评估"，持续更新知识库直到研究目标达成。适用于行业调研、技术研究、概念理解、创业方案构建等场景。触发方式：用户说"帮我研究 X"、"调研一下 X"、"我想深入了解 X"、"/autodidact X"。

OpenUI generative UI with Rust Axum backend. Async SSE streaming with reqwest and async-stream.

Activate when the user needs to manage multi-author collaboration on a paper. Tracks author contributions using the CRediT taxonomy, manages responsibility assignments, documents the human-AI division of labor, and produces an author contribution statement ready for submission.

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

使用 OpenUI 构建生成式 UI 应用 — 支持任意 LLM 提供商、任意后端语言。脚手架、集成、验证。

Activate when the user wants to audit a paper's empirical or technical claims against a linked code repository — checking whether experiments, datasets, models, metrics, and hyperparameters described in the paper actually exist and match the code. Produces a structured audit report classifying each claim as CONFIRMED, PARTIAL, MISSING, or MISMATCH, with file/line evidence. Useful for reproducibili

使用 OpenUI 构建生成式 UI 应用 — 支持任意 LLM 提供商、任意后端语言。脚手架、集成、验证。