发现 tools 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。
Deep analysis of documentation/articles with practical application guidance. Use when user asks to "analyze and apply", "digest and implement", "read and integrate", or provides a document they want analyzed fo...
Expert guide for creating Airalogy Protocols (AIMD), Assigners (Python logic), and Validation Models. Use this to design digital workflows and experiments.
Use when working with component similarity calculations - comparing MPNs, finding equivalent parts, implementing new similarity calculators, or understanding how component matching works.
Create, clean, and optimize datasets for LLM fine-tuning. Covers formats (Alpaca, ShareGPT, ChatML), synthetic data generation, quality assessment, and augmentation. Use when preparing data for training.
Conducts general research, summarizes information, compares options, provides insights
Spatial region-aware cell matching for CODEX/scRNAseq integration
Institutional-grade data cleaning, tick physics auditing, and gap reconstruction.
Skills for querying Gene Ontology annotation databases in DuckDB format. Use this for queries about GO annotations, genes, terms, evidence codes, or taxonomic relationships in GO-DB databases (db/*.ddb files)....
Randomly select items from lists using various algorithms for fair and unbiased selection
Digital forensics analysis and investigation tools for system security audits, file analysis, and evidence preservation
Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decisi...
Systematic error debugging with analysis, solution discovery, and verification
Statistical analysis toolkit for hypothesis testing, regression, correlation, Bayesian statistics, power analysis, and APA reporting. USE when conducting academic research, analyzing experimental data, testing...
Routes research and investigation tasks. Triggers on research, investigate, deep-dive, explore, understand, learn, study, compare, thorough, comprehensive.
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 /...
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...
Research academic papers and questions, write typst documents with cetz visualizations, teach until human understands
Design and document statistical algorithms with pseudocode and complexity analysis
Numerical algorithms and computational techniques for statistics
Computational methods for statistical inference and optimization
Design and implementation of comprehensive simulation studies
Six-phase protocol for adapting methods across research domains
Structured methodology for constructing and verifying mathematical proofs in statistical research
Method×Setting matrices and systematic gap identification
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。