Browse skills

Helps with Firebase, setup and configuration as part of developing backend services and APIs workflows.

Provides Firebase guidance and assistance for software development workflows.

Helps with Firebase, debugging as part of developing backend services and APIs workflows.

Helps with Firebase, validation as part of developing backend services and APIs workflows.

Provides Firebase guidance and assistance for software development workflows.

This skill efficiently combines biological expression matrix metadata with joining capabilities for enhanced data analysis and research insights.

The Nemo Evaluator SDK allows developers to rapidly assess and compare model performance across diverse datasets, streamlining AI development workflows.

Provides GitHub guidance and assistance for software development workflows.

This skill converts biological workflow expressions into detailed pathway diagrams, streamlining research and analysis.

Provides Git guidance and assistance for software development workflows.

Quickly analyzes GitHub repositories to identify code patterns, dependencies, contributors, and relevant project information.

Provides Firebase guidance and assistance for software development workflows.

Rails Deep Research — provides AI agent assistance for software development workflows.

This skill automatically modernizes legacy PHP codebases, improving performance and security for faster development and reduced maintenance costs.

Phx:Research swiftly gathers and synthesizes information from various sources to provide comprehensive answers and insights quickly.

Efficiently gathers relevant web data based on complex queries, summarizing findings and providing source links.

Deep multi-source analysis of GitHub projects. Covers architecture, community health, competitive landscape, and cross-platform knowledge. Outputs structured research reports.

This tool analyzes GitHub repositories to extract key insights and trends, aiding in competitive intelligence and project evaluation.

Pymoo generates optimized Python code for numerical tasks like simulations and modeling, accelerating research and development workflows.

Pydeseq2 is a Python wrapper for analyzing single-cell RNA sequencing data, streamlining workflows and accelerating research.