Claude Code skills, ranked and checked

Prepares constructive peer-review drafts and structured assessments of scientific manuscripts and proposals.

Reference for Polars, the Python DataFrame library: expressions, lazy queries, streaming and migration from pandas.

Builds Bayesian models with PyMC: hierarchical models, MCMC, variational inference and model comparison.

Cheminformatics with RDKit: SMILES parsing, molecular descriptors, fingerprints, substructure search and reactions.

Writes research proposals for NSF, NIH, DOE and DARPA, with agency-specific formatting, review criteria and budgets.

Gathers current scholarly evidence, references and competing findings for a manuscript or research brief.

Runs the standard single-cell RNA-seq pipeline with Scanpy: QC, normalisation, clustering and differential expression.

Evaluates scientific claims and evidence quality: experimental validity, biases, confounders and evidence grading.

Builds slide decks for research talks, conference presentations and thesis defences.

Creates and audits publication-ready scientific figures with Matplotlib, Seaborn or Plotly.

Drafts, revises and audits scientific manuscripts with evidence provenance and reporting-guideline coverage.

Machine learning in Python with scikit-learn: classification, regression, clustering, model evaluation and tuning.

Statistical visualisation with Seaborn: distributions, relationships and categorical comparisons.

Guides statistical analysis of research data: test selection, assumption checks, effect sizes and APA-formatted reporting.

Statistical modelling with statsmodels: OLS, GLM, mixed models and ARIMA, with diagnostics and inference.

Runs agent-browser on AWS Bedrock AgentCore cloud browsers, using AWS credentials.

The core usage guide for agent-browser: the snapshot-and-ref workflow, navigation, element interaction and data extraction.

Reverse-engineers a website's internal API from recorded browser traffic and generates a standalone client for it.

Explores and tests a web application systematically to find bugs and UX issues.

Automates Electron desktop apps such as VS Code, Slack and Notion with agent-browser.

Accesses and tests Vercel deployments that sit behind Vercel Authentication, SSO or Deployment Protection.

Works in Slack through browser automation: check unread channels, send messages and search conversations.

Runs agent-browser and Chrome inside Vercel Sandbox microVMs for browser automation from a Vercel app.

React composition patterns such as compound components, for refactoring components with too many boolean props.