plotly

We split this skill into the rules it gives an agent

1 rule. 1 is common, 0 are distinctive, and 0 are very specific to this project.

• 1

  Common

  Most of the 11 edited versions we read keep these.

• 0

  Distinctive

  This author's own choices. Worth a look.

• 0

  Very specific

  Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

• Other versions14 projects use a version of this.

  Word for word · 3

  1. LeonChaoX/qinyan-academic-skills★ 910100% same
  2. qinyan-ai/qinyan-academic-skills★ 80100% same
  3. JunMA98/Computer-science-claude-skills★ 3100% same

  Edited · 8

  1. wu-yc/LabClaw★ 1.1k88% same
  2. Barrios88/barrios-skills★ 6385% same
  3. ZanderRuss/obsidian-claude★ 1994% same
  4. hanlinlibham/skills★ 294% same
  5. BrightGold70/skills★ 188% same
  6. garri333/Skills★ 188% same
  7. yf8578/claude-skills-collection★ 188% same
  8. Nzettodess/Awesome-Agent-Skills★ 094% same

  Wrote their own version · 3

  1. DAAF-Contribution-Community/daaf★ 233same name
  2. tondevrel/scientific-agent-skills★ 22same name
  3. G1Joshi/Agent-Skills★ 15same name

  How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

• Used alongsideProjects with it also use statsmodels, scikit-learn and 3 more.

  Other files people use alongside this one.

  How we pick theseFiles found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.

  • tondevrelSkill

    statsmodels

    Advanced statistical modeling and hypothesis testing. Complementary to SciPy's stats module, it provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. Use for linear regression, GLM, time series analysis, ANOVA, survival analysis, causal inference, and statistical hypothesis testing. Load when working with OLS, WLS, logistic regression, Poisson regression, ARIMA, SARIMAX, statistical diagnostics, p-values, confidence intervals, or R-style statistical analysis.

    Also in 4 projects that use this

  • Hongyu-yuSkill

    scikit-learn

    Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

    Also in 4 projects that use this

  • silvainfmSkill

    polars

    Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.

    Also in 4 projects that use this

  • tondevrelSkill

    dask

    A flexible library for parallel computing in Python. It scales Python libraries like NumPy, pandas, and scikit-learn to multi-core systems or distributed clusters. Features lazy evaluation and task scheduling for data that exceeds RAM capacity. Use for out-of-core computing, parallel processing, distributed computing, large-scale data analysis, dask.array, dask.dataframe, dask.delayed, dask.bag, task scheduling, lazy evaluation, and scaling beyond memory limits.

    Also in 3 projects that use this

  • +1 more from tondevrel
• In this repository91 other files it gives its agents.

  • ablation-plannerSkill
  • analyze-resultsSkill
  • experiment-planSkill
  • results-analysisSkill
  • run-experimentSkill
  • statistical-analysisSkill
  • xlsxSkill
  • docxSkill
  • formula-derivationSkill
  • markitdownSkill
  • pdfSkill
  • proof-checkerSkill
  • proof-writerSkill
  • drawioSkill
  • figure-descriptionSkill
  • figure-generationSkill
  • figure-plannerSkill
  • figure-specSkill
  • mermaid-diagramSkill
  • nature-dataSkill
  • nature-figureSkill
  • paper-figureSkill
  • paper-illustrationSkill
  • seabornSkill
  • alphaxivSkill
  • arxiv-databaseSkill
  • arxivSkill
  • citation-auditSkill
  • citation-managementSkill
  • citation-verifierSkill
  • comm-lit-review-claude-singleSkill
  • deep-researchSkill
  • deepxivSkill
  • exa-searchSkill
  • literature-reviewSkill
  • management-review-plannerSkill
  • management-review-writerSkill
  • nature-citationSkill
  • novelty-checkSkill
  • openalex-ajg-insightsSkill
  • prior-art-searchSkill
  • pyzoteroSkill
  • reference-audit-guideSkill
  • research-litSkill
  • research-refine-pipelineSkill
  • research-refineSkill
  • review-orchestratorSkill
  • semantic-scholarSkill
  • systematic-literature-reviewSkill
  • academic-researcherSkill
  • conference-paper-writingSkill
  • idea-creatorSkill
  • idea-discoverySkill
  • nature-portfolio-playbookSkill
  • paper-analyzerSkill
  • paper-backup-before-wordSkill
  • paper-bootstrapSkill
  • paper-claim-auditSkill
  • paper-claude-md-bootstrapSkill
  • paper-compileSkill
  • The first 60 shown.