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blockchain scientific computing AI Skills

Discover blockchain scientific computing skills, compare source repositories and read the instructions for each workflow.

Categories: blockchain scientific computing

Showing 865–888 of 926

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GitHub

deep-research

Who-Visions

Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).

GitHub

research

blackpwnguin

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...

GitHub

data-analysis

IHKREDDY

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...

GitHub

composition-ai-research

nategarelik

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...

GitHub

physical-ai-expert

Fatima367

Provides specialized knowledge and content creation for Physical AI and Humanoid Robotics topics with focus on accuracy and peer-reviewed sources.

GitHub

discoverydata-audit

edwardmonteiro

Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.

GitHub

independent-research

audunstrand

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...

GitHub

codex-thinkdeep

kanlanc

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".

GitHub

mouse-movement

blueif16

Human-like mouse movement patterns. Use when automating browser interactions to avoid bot detection.

GitHub

bioinformatics-experiment

dakesan

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...

GitHub

banksy-merged-v4

Ketomihine

BANKSY spatial transcriptomics analysis tool - complete documentation with precise file name-based categorization

GitHub

scvitools

Ketomihine

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...

GitHub

cellphonedb

Ketomihine

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...

GitHub

spatialdata

Ketomihine

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.

GitHub

scarches

Ketomihine

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...

GitHub

banksy

Ketomihine

BANKSY spatial transcriptomics analysis - comprehensive documentation with notebooks and API

GitHub

banksy-merged-v3

Ketomihine

BANKSY spatial transcriptomics analysis tool - complete documentation with notebooks and source code

GitHub

nqs-sqd-research

thc1006

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.

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