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AI Image Generation & Editing

K-Dense-AI/scientific-agent-skills

Generate and edit images via the OpenRouter Image API, supporting Gemini, Seedream, Recraft, GPT-Image and Riverflow models for photos, illustrations, logos, artwork and reference-based compositing.

Geniml Genomic Interval ML Workflows

K-Dense-AI/scientific-agent-skills

Validates BED and universe contracts, plans Region2Vec and scEmbed runs, checks model and tokenizer compatibility, and assesses consensus universes for audited, local-only genomic-interval ML workflows.

Geospatial Analysis Workflows

K-Dense-AI/scientific-agent-skills

Provides geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and Earth-observation machine learning across Python, R, Julia, and other languages.

GeoPandas Vector Data Audit

K-Dense-AI/scientific-agent-skills

Guidance and local audit tools for Python workflows using GeoPandas GeoSeries, GeoDataFrame, spatial operations, CRS handling, and vector-data I/O. Includes safety gates for provenance, geometry validity, and privacy-aware geodata sharing.

Get Available Resources

get-available-resources

K-Dense-AI/scientific-agent-skills

Detects host inventory including CPU, memory, disk, scheduler, container, and accelerator limits for resource-aware planning. Produces a redacted JSON snapshot without stress tests or assuming hardware usability. Compatible with Python 3.11+ on Linux, macOS, or Windows.

Bioinformatics Database Query Tool

K-Dense-AI/scientific-agent-skills

gget is a command-line and Python package providing unified access to over 20 genomic databases and analysis methods. It supports querying gene information, sequence analysis, protein structures, viral sequences, expression data, and disease associations. Suitable for interactive exploration and simple queries, offering both CLI and Python function interfaces for bioinformatics workflows.

Ginkgo Cloud Lab Protocol Guide

ginkgo-cloud-lab

K-Dense-AI/scientific-agent-skills

Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab for protein expression, assays, onboarding, and specialty workflows.

Protein Glycosylation Engineering

glycoengineering

K-Dense-AI/scientific-agent-skills

Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons, predict O-glycosylation hotspots, and access curated glycoengineering tools for antibody optimization and vaccine design.

Gtars Genomic Interval Toolkit

K-Dense-AI/scientific-agent-skills

Gtars offers local genomic interval models, set algebra, overlap/count operations, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and CLI.

Histolab WSI Tile Extraction

K-Dense-AI/scientific-agent-skills

Python library for digital pathology whole slide images: tissue detection, tile extraction, filters, and stain normalization. Ideal for preparing H&E datasets for deep learning and quick tile-based analysis.

HypoGeniC Hypothesis Bank Auditing

K-Dense-AI/scientific-agent-skills

Plans, audits, and safely runs ChicagoHAI HypoGeniC/HypoRefine workflows for LLM-assisted hypothesis generation from labeled text datasets, with pinned installs, config validation, dataset leakage checks, and bounded local review before any model call.

Scientific Research Hypothesis Generation

hypothesis-generation

K-Dense-AI/scientific-agent-skills

This skill helps formulate evidence-bounded scientific questions and candidate hypotheses. It turns observations into transparent, testable research plans without treating hypotheses as facts. It distinguishes between observations, mechanisms, and predictions, ensuring rigorous research design and safety compliance.

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