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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 697–720 of 926

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GitHub

comprehensive-research

v1truv1us

Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, invest...

GitHub

scverse-compact

CodingKaiser

Compact single-cell analysis patterns with AnnData and Scanpy. Essential patterns for QC, preprocessing, clustering, and visualization.

GitHub

scverse

CodingKaiser

Single-cell analysis patterns with AnnData and Scanpy. Use when working with single-cell RNA-seq data, creating or manipulating AnnData objects, performing quality control, normalization, dimensionality reducti...

GitHub

deep-research

lv416e

Conduct comprehensive, multi-source research on any topic using web search, documentation lookup, and critical analysis. This skill should be used when users request thorough investigation, deep research, or co...

GitHub

designing-experiments

Sun-Lab-NBB

Interactive guidance for building Sun lab VR experiment configurations using MCP tools and CLI commands. Covers template discovery, experiment configuration generation, and Unity template creation. Use when cre...

GitHub

classify

yi-john-huang

Full ACMG/AMP variant classification workflow. Validates input, gathers evidence, applies rules, and generates classification. Invoked via /classify .

GitHub

research

multicam

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

research

arturh85

Run structured research experiments for Sunaba creature evolution. Use for creating experiments, investigating problems, making code changes, running training, and tracking progress across physics, morphology,...

GitHub

design-synthesis

bsamiee

Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /...

GitHub

paper-to-intuition

GhostScientist

Transforms an academic paper into deep, multi-layered understanding. Use when asked to explain a paper, break down a research paper, understand an arXiv paper, or build intuition for a technical concept from a...

GitHub

experiment-design-checklist

GhostScientist

Generates a rigorous experiment design given a hypothesis. Use when asked to design experiments, plan experiments, create an experimental setup, or figure out how to test a research hypothesis. Covers controls,...

GitHub

implement-paper-from-scratch

GhostScientist

Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from a paper. Focuses on building u...

GitHub

research-synthesis

sirkirby

Synthesize research findings for OAK planning using the oak.plan-research workflow. Use when consolidating findings from codebase exploration, comparing approaches, or creating research/*.md documents.

GitHub

exploratory-analysis

tilmon-engineering

Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation

GitHub

research-reproduction

aryateja2106

Reproduce research papers into working code. Use when user wants to implement ML/AI papers, reproduce experiments, extract algorithms from PDFs, or convert research into executable code. Handles multiple interc...

GitHub

memgraph-aco-queries

tonyoconnell

Query and analyze ACO pheromone graphs in Memgraph. Use for prime candidate queries, pheromone analysis, path validation, and convergence monitoring.

GitHub

exploratory-data-analysis

braselog

Perform comprehensive exploratory data analysis on research data. Automatically analyze data structure, quality, distributions, and generate insights. Use when the user provides a dataset, asks to "explore data...

GitHub

statistical-analysis

braselog

Comprehensive statistical analysis toolkit for research. Conduct hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, and APA reporting. Use...

GitHub

data-science-tools

mikkelkrogsholm

Documentation of available data science libraries (scipy, numpy, pandas, sklearn) and best practices for statistical analysis, regression modeling, and organizing analysis scripts. **CRITICAL:** All analysis sc...

GitHub

quantum-espresso

fl-sean03

Run Quantum ESPRESSO DFT calculations. Use when asked to perform first-principles calculations, SCF, structural relaxation, band structure, DOS, phonons, or any ab initio quantum mechanical calculation.

GitHub

lammps-simulation

fl-sean03

Run LAMMPS molecular dynamics simulations. Use when asked to run MD simulations, energy minimization, equilibration, production runs, or calculate properties like diffusion, RDF, MSD. Supports both CPU and GPU...

GitHub

data-analysis

fl-sean03

Analyze simulation data and compute properties. Use when asked to parse LAMMPS/QE output, calculate diffusion coefficients, RDF, MSD, energies, or generate plots and visualizations.

GitHub

materials-database

fl-sean03

Query materials databases for structures and properties. Use when asked to get crystal structures, material properties, phase diagrams, or thermodynamic data. Primary source is Materials Project, with NIST, Pub...

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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