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Skills IA documentation scientific computing

Découvrez les skills documentation scientific computing, comparez leurs dépôts et consultez leurs instructions.

Catégories: documentation scientific computing

697–720 sur 926

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Explorer

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...

GitHub

resource-acquisition

fl-sean03

Find and acquire computational science resources autonomously. Use when you need force field parameters, pseudopotentials, crystal structures, or any other scientific data. You are a researcher - you find what...

GitHub

first-principles-design

Petrus-Han

First-principles approach to plugin design. Use when designing new plugins, evaluating features, or simplifying existing implementations.

GitHub

research-strategy

AutumnsGrove

Conduct systematic research with confidence scoring, source validation, and structured reporting for technology decisions and codebase analysis. Use for complex research tasks, technology selection, or best pra...

GitHub

research-deep-dive

acertainKnight

Systematic deep research through discovery sources, vault, and web - refine query, collect papers, analyze, synthesize findings into comprehensive markdown report.

GitHub

research-memory-cleanup

acertainKnight

Defragment and clean research agent memory - consolidate paper info, organize research domains, remove redundancy from research tracking.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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