deep-research
Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).
Discover blockchain scientific computing skills, compare source repositories and read the instructions for each workflow.
Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).
Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficu...
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, ex...
Research product compositions using AI and web sources. Use when needing to find what products, substances, or objects are made of - including ingredients, materials, chemicals, and elements. Essential for buil...
Provides specialized knowledge and content creation for Physical AI and Humanoid Robotics topics with focus on accuracy and peer-reviewed sources.
Analyze completed experiments and craft executive-ready summaries with insights and recommendations.
Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.
Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas bef...
Use for deep multi-step investigation and analysis with Codex. Triggers on "codex deep analysis", "investigate with codex", "codex thorough investigation", "have codex think deeply".
Human-like mouse movement patterns. Use when automating browser interactions to avoid bot detection.
Process genome assembly datasets for VEuPathDB resources
This skill should be used when conducting bioinformatics research, planning experiments, running analyses, or managing scientific projects. Triggers include requests like "研究を始める", "実験する", "新しい実験...
A comprehensive skill designed for researching on complex diagnosis problems.
CellCharter spatial transcriptomics analysis toolkit - complete documentation with precise file name-based categorization
BANKSY spatial transcriptomics analysis tool - complete documentation with precise file name-based categorization
CellChat cell-cell communication analysis toolkit - complete documentation with precise file name-based categorization
Comprehensive skill for scvi-tools - Deep probabilistic models for single-cell omics analysis. Use for scVI, scANVI, totalVI, MultiVI models, single-cell RNA-seq integration, batch correction, differential expr...
Comprehensive skill for CellPhoneDB - Database of cell type markers and cell-cell communication analysis for single-cell data. Use for cell type annotation, ligand-receptor analysis, cell-cell interaction infer...
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Comprehensive skill for scARCHES - Deep learning library for single-cell analysis of chromatin accessibility data. Use for scATAC-seq data processing, model training, batch correction, integration with scRNA-se...
BANKSY spatial transcriptomics analysis - comprehensive documentation with notebooks and API
ENVI spatial transcriptomics analysis toolkit - comprehensive documentation with tutorials and Python source code
BANKSY spatial transcriptomics analysis tool - complete documentation with notebooks and source code
Deep technical assistant for projects that combine Neural Quantum States (FFNN and Transformer-based) with Sample-based Quantum Diagonalization (SQD). Trigger this skill whenever the task involves: (1) designin...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.