Agent skills for Data Scientists

17 agent skills are labelled for Data Scientists work. They are listed by code score, out of 100.

All 17

1. instrument-data-to-allotrope anthropics/knowledge-work-plugins

   Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardi…

   Verified88A
2. google-cloud-solution-agentic-ai-data-science-workflow google/skills

   Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for…

   Verified84B
3. data-context-extractor anthropics/knowledge-work-plugins

   Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data ana…

   Verified82B
4. ab-test-setup alirezarezvani/claude-skills

   Use before planning or launching any A/B, split or multivariate test, or when asked if a result is significant. Sizes the test with sample_size_calculator.py and writes the hypoth…

   Verified82B
5. timesfm-forecasting google-research/timesfm

   Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy…

   80B
6. paper-figure wanshuiyin/Auto-claude-code-research-in-sleep

   Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.

   Verified80B
7. experiment-designer alirezarezvani/claude-skills

   Plan A/B tests and product experiments: hypotheses, sample size, priority, reading results. Use whenever the user asks if a test won, how long to run it or what to test.

   75B
8. ab-testing coreyhaines31/marketingskills

   When the user wants to plan, run, or read A/B tests, or asks a judgement call on one: is the result real, can we stop, which version won, is this worth testing at all: sample size…

   74B
9. validate-data XiaomiMiMo/MiMo-Code

   Validate whether an analysis is accurate, well-supported, and ready to share or use for a decision. Use when reviewing methodology, calculations, comparisons, visuals, caveats, or…

   74B
10. scientific-visualization davila7/claude-code-templates

    Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientifi…

    73B
11. jupyter-notebook NousResearch/hermes-agent

    Iterative Python via live Jupyter kernel (hamelnb).

    72B
12. get-available-resources davila7/claude-code-templates

    This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It c…

    72B
13. USStats danielmiessler/LifeOS

    Query the configured long-run US almanac (90+ annual series on economy, debt, cost of living, health, crime, family, trust, energy, many back to the 1940s: trends, verdicts, mover…

    71B
14. dataviz JimLiu/baoyu-design

    Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium (HTML/React artifact, inline SVG, matplotlib/plotly/…

    71B
15. nature-statistics Yuan1z0825/nature-skills

    Audit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer conc…

    70B
16. validate-data anthropics/knowledge-work-plugins

    QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregati…

    70B
17. jupyter-notebooks XiaomiMiMo/MiMo-Code

    Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the…

    70B

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.