GitHub
numpy-numerical-analysis
NumPy for matrix operations, FFT, linear algebra, and numerical computations in marine engineering
Skills IA tools scientific computing
Découvrez les skills tools scientific computing, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools scientific computing
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Explorer
GitHub
trend-modeling
This skill should be used when the user asks to "model trends with limited data", "three-valued logic analysis", "scenario generation", "transitional graphs", "qualitative trend analysis", "uncertain data analy...
GitHub
trend-analysis
This skill should be used when the user asks to "identify trends", "analyze market trends", "trend forecasting", "macro trends", "micro trends", "emerging patterns", "future projections", "industry trends", or...
GitHub
time-crystal-scheduling
Time crystal-inspired schedule stability analysis. Use when analyzing schedule churn, detecting natural periodicities, or optimizing for minimal disruption.
GitHub
research
Get AI-synthesized research on any topic with citations, directly in your terminal. Supports structured JSON output for pipelines. Use when you need comprehensive research grounded in web data without writing c...
GitHub
comprehensive-research
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
Compact single-cell analysis patterns with AnnData and Scanpy. Essential patterns for QC, preprocessing, clustering, and visualization.
GitHub
scverse
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
falcon-deep-research
Execute deep research protocols using the Falcon specialized research framework.
GitHub
deep-research
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
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
Full ACMG/AMP variant classification workflow. Validates input, gathers evidence, applies rules, and generates classification. Invoked via /classify .
GitHub
research
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
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
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
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
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
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
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
Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation
GitHub
research-reproduction
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
Query and analyze ACO pheromone graphs in Memgraph. Use for prime candidate queries, pheromone analysis, path validation, and convergence monitoring.
GitHub
exploratory-data-analysis
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
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...
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.