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tools scientific computing AI Skills

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

Categories: tools scientific computing

Showing 697–720 of 823

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GitHub

research-and-incorporate

loriensleafs

Research external topics, create comprehensive analysis, determine project applicability, and incorporate learnings into Brain memory system. Transforms knowledge into searchable, actionable project context.

GitHub

investigation-cycle

Rwb3n

HAIOS Investigation Cycle for structured research and discovery. Use when starting or resuming an investigation. Guides HYPOTHESIZE->EXPLORE->CONCLUDE workflow with phase-specific tooling.

GitHub

academic-writing

Anu-bhav

Create polished research manuscripts with professional formatting and scholarly precision. Guides the full writing process from outline to submission-ready document.

GitHub

lucy-ngsanitize

steinbeck

AI-assisted sanitization of Bruker NMR datasets for blind CASE studies. Removes compound identity from metadata while preserving spectroscopic data for valid CASE evaluation.

GitHub

lucy-ngcase

steinbeck

Full de novo structure elucidation - skip dereplication and solve the structure from NMR correlations. Use when dereplication returned no matches, the compound is known to be novel, or you want to solve the str...

GitHub

lucy-ng

steinbeck

Computer-Assisted Structure Elucidation (CASE) for organic natural products using NMR spectroscopy. Use when the user asks to identify an unknown compound from NMR data, perform structure elucidation, analyze H...

GitHub

analysis

PhantasticUniverse

Symmetry analysis, Lyapunov exponent chaos detection, and period detection APIs. Use when analyzing CA states, detecting patterns, measuring stability, or classifying dynamic behavior.

GitHub

lenia-core

PhantasticUniverse

Core Lenia engine API, stable parameters, multi-species presets, and growth functions. Use when working on the simulation engine, configuring organisms, or debugging parameter issues.

GitHub

discovery

PhantasticUniverse

Genetic algorithm, fitness evaluation, novelty search, and self-replication detection. Use when implementing evolutionary search, evaluating organism fitness, or detecting emergent behaviors.

GitHub

research-analyst

vx-daniel

Expert research analyst specializing in comprehensive information gathering, synthesis, and insight generation. Masters research methodologies, data analysis, and report creation with focus on delivering action...

GitHub

glean

robabby

Surface emergent patterns and insights from memory

GitHub

conducting-deep-research

synaptiai

Use when asked for "deep research", "thorough analysis", "comprehensive report", "investigate", "due diligence", or when multiple sources are needed to answer complex questions. Produces well-sourced research r...

GitHub

interpolation

yonesuke

Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).

GitHub

research

kensleDev

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

GitHub

research

jwynia

Diagnose research quality and guide systematic query expansion. Use when starting research on any topic, when stuck in research, or when unsure if research is complete.

GitHub

aind-infrastructure

AllenNeuralDynamics

Knowledge about AIND data infrastructure including MongoDB/DocumentDB access patterns, S3 asset storage, collection schemas, and query patterns. Use when working with AIND analysis results, querying metadata, o...

GitHub

research

spences10

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

GitHub

scientific-computing

eyadsibai

Use when "scientific computing", "astronomy", "astropy", "bioinformatics", "biopython", "symbolic math", "sympy", "statistics", "statsmodels", "scientific Python"

GitHub

pymc

eyadsibai

Use when "PyMC", "Bayesian", "MCMC", "probabilistic programming", or asking about "Bayesian regression", "hierarchical model", "NUTS sampler", "posterior distribution", "prior predictive", "credible intervals",...

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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