Explorar skills

Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring

OpenUI generative UI with Anthropic Claude SDK backend. Stream conversion to OpenAI NDJSON format.

OpenUI generative UI with LangChain/LangGraph backend. Supports ChatOpenAI and ChatAnthropic.

OpenUI generative UI with LangChain/LangGraph backend. Supports ChatOpenAI and ChatAnthropic.

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

Interface de usuário generativa OpenUI com backend OpenAI SDK, que oferece conclusões de chat em streaming usando gpt-5.5 (ou qualquer modelo compatível com OpenAI atual).

Interface de usuário generativa OpenUI com backend Python FastAPI, suportando variantes de SDK OpenAI e Anthropic.

Interface de usuário generativa OpenUI com backend Rust Axum. Streaming assíncrono SSE usando reqwest e async-stream.

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

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.

Build generative UI with OpenUI — any LLM provider, any backend language. Scaffold, integrate, validate.

Activate when the user wants to export a completed paper draft to production-ready LaTeX (.tex) and PDF. Converts draft.md + references.bib + figures/ into a complete arxiv-style LaTeX project with properly resolved \citep/\citet citations, booktabs tables, figure environments, and compiled PDF output.