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documentation scientific computing AI 技能

发现 documentation scientific computing 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: documentation scientific computing

显示第 481–504 个,共 926 个

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GitHub

rd-management

travisjneuman

R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. Use when managing research p...

GitHub

research

jeffh

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

run-deep-research

monarch-initiative

Toolkit for performing deep research on complex topics using multiple AI research providers (OpenAI, Falcon, Perplexity, Consensus). Emphasizes explicit speed vs depth trade-offs.

GitHub

gene-set-enrichment

monarch-initiative

Perform gene set enrichment analysis using AI research providers. Analyzes lists of genes to identify biological themes, pathways, and functional associations.

GitHub

data-analyzer

Rehan-Ul-Haq

Analyzes datasets to extract insights, identify patterns, and create visualizations. This skill should be used when users want to explore data, perform statistical analysis, identify trends, or visualize patter...

GitHub

hepdata

fundamental-physics

Use when the user mentions 'HEPData' or asks to find experimental data, download data tables from HEP papers, get digitized plots, or retrieve cross-section measurements. HEPData contains data points behind fig...

GitHub

astrophysics-analysis

fundamental-physics

This skill should be used when the user asks to "analyze astronomical data", "process FITS files", "create sky maps", "work with cosmological simulations", "fit spectral data", "calculate redshifts", "analyze l...

GitHub

denario

jackspace

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing re...

GitHub

geniml

jackspace

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), buil...

GitHub

gtars

jackspace

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment...

GitHub

exploratory-data-analysis

jackspace

Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON...

GitHub

pyopenms

jackspace

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal pro...

GitHub

hypogenic

jackspace

Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses...

GitHub

understand

agoodway

Multi-specialist collaborative analysis to understand how features, functions, or components work

GitHub

biomni

Blurjp

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

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

healthsim-membersim

mark64oswald

MemberSim generates realistic synthetic claims and payer data for testing claims processing systems, payment integrity, and benefits administration.

GitHub

healthsim-trialsim

mark64oswald

Generate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/S...

GitHub

running-clustering-algorithms

BbgnsurfTech

Execute clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster analysis", or "group data points".

GitHub

splitting-datasets

BbgnsurfTech

Split datasets into training, validation, and testing sets for ML model development. Use when requesting "split dataset", "train-test split", or "data partitioning".

GitHub

detecting-memory-leaks

BbgnsurfTech

Detect potential memory leaks and analyze memory usage patterns in code. Use when troubleshooting performance issues related to memory growth or identifying leak sources. Trigger with phrases like "detect memor...

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