K-Dense-AI/scientific-agent-skills agent skills, page 4

Manages Zotero reference libraries using the pyzotero Python client: retrieves, creates, updates, and deletes items, collections, tags, and attachments via the Zotero Web API v3 or local API.

K-Dense-AI/scientific-agent-skills

Evaluates scientific claims and evidence quality. An agent skill from K-Dense-AI/scientific-agent-skills.

K-Dense-AI/scientific-agent-skills

Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps.

K-Dense-AI/scientific-agent-skills

Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX.

K-Dense-AI/scientific-agent-skills

Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.

K-Dense-AI/scientific-agent-skills

Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring.

K-Dense-AI/scientific-agent-skills

Queries documented public database APIs with explicit endpoints, filters, pagination, and provenance.

K-Dense-AI/scientific-agent-skills

Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.

K-Dense-AI/scientific-agent-skills

Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio).

K-Dense-AI/scientific-agent-skills