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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

289–312 sur 926

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GitHub

clinical-trial-protocol-skill

anthropics

Generate clinical trial protocols for medical devices or drugs. This skill should be used when users say "Create a clinical trial protocol", "Generate protocol for [device/drug]", "Help me design a clinical stu...

GitHub

single-cell-rna-qc

anthropics

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering lo...

GitHub

instrument-data-to-allotrope

anthropics

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS sys...

GitHub

user-research-planning

Prorise-cool

Plan user research studies - method selection, participant recruitment, study design, and research questions for generative and evaluative research.

GitHub

biomni

aiskillstore

Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical rese...

GitHub

independent-research

NTCoding

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

research

XSpoonAi

Deep research and information gathering skill for comprehensive topic analysis

GitHub

research-methodology

VAMFI

Systematic approach for gathering authoritative, version-accurate documentation. Claude invokes this skill when research is needed before implementation. Ensures truth over speed while achieving both.

GitHub

research

spences10

Research topics by verifying actual source content. Use when asked to research or study links and documentation.

GitHub

claude-scientific-skills

Microck

Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.

GitHub

packmol

aiskillstore

This skill should be used when the user asks to "create a packmol input", "pack molecules with packmol", "solvate a protein", "build an initial configuration", "setup molecular dynamics", or discusses molecular...

GitHub

fiftyone-embeddings-visualization

aiskillstore

Visualize datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when users want to explore dataset structure, find clusters in images, identify outliers, color samples by class or met...

GitHub

biogeobears

aiskillstore

Set up and execute phylogenetic biogeographic analyses using BioGeoBEARS in R. Use when users request biogeographic reconstruction, ancestral range estimation, or want to analyze species distributions on phylog...

GitHub

busco-phylogeny

aiskillstore

Generate phylogenies from genome assemblies using BUSCO/compleasm-based single-copy orthologs with scheduler-aware workflow generation

GitHub

data-analysis

aiskillstore

A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).

GitHub

project-research

aiskillstore

Research workflow patterns specific to {project}. Covers research agent coordination, source management, and synthesis strategies.

GitHub

deep-research

aiskillstore

Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches...

GitHub

firstprinciples

Steffen025

First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.

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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