Dot Claude

Create and audit presentations (Beamer or Quarto RevealJS). Combines talk creation, visual audit, and compilation. Replaces /create-talk, /visual-audit, /compile-latex (for talks).

End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Supports R, Stata, Python, Julia. Replaces /data-analysis.

Utility commands — commit, compile, validate-bib, journal, context-status, deploy, learn. Replaces individual utility skills.

Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.

Drafts a point-by-point response letter to referee comments with suggested edits. Use after a revise-and-resubmit.

Finds a paper by title, author, or DOI, adds BibTeX to references.bib, and shows citation syntax. Use when adding a reference.

Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.

Fills all [FILL:] placeholders across the template to initialize a new research project. Use when setting up a freshly cloned project.

Run the proofreading protocol on lecture files. Checks grammar, typos, overflow, consistency, and academic writing quality. Produces a report without editing files.

R&R cycle — classify referee comments and route to appropriate agents. Replaces /respond-to-referee.

Structured literature search and synthesis with citation extraction and gap identification

Submission pipeline — journal targeting, replication package, audit, and final gate. Replaces /submit, /target-journal, /audit-replication, /data-deposit.

Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 17+ community packages (reghdfe, estout, did, rdrobust, etc.). Covers syntax, options, gotchas, and idiomatic patterns. Use this skill whenever the user asks you to write, debug, or explain Stata code.

Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections

Discovery phase combining research interviews, literature search, data discovery, and ideation. Routes to appropriate agents based on arguments. Replaces /interview-me, /lit-review, /find-data, /research-ideation.

Validate bibliography entries against citations in all lecture files. Find missing entries and unused references.

Executes all registered notebooks, strips noisy cell metadata, and syncs Jupytext pairs. Use when asked to re-run notebooks or refresh outputs.

Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.

Writes a session handoff report to handoffs/ with project state, work done, decisions, and next steps. Use at session end or after significant work.

Compile a Beamer LaTeX slide deck with XeLaTeX (3 passes + bibtex). Use when compiling lecture slides.

Reads the manuscript and notebooks to generate a structured abstract. Use when writing or updating the abstract.

End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures

Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables.

Show current context status and session health. Use to check how much context has been used, whether auto-compact is approaching, and what state will be preserved.

Transfers prose edits from latex/index.tex (Overleaf) back into index.qmd. Use after pulling LaTeX edits from a collaborator.

Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files.

Design identification strategy or pre-analysis plan. Dispatches Strategist (proposer) and strategist-critic (validator). Replaces /identify and /pre-analysis-plan.

Run the proofreading protocol on manuscript files. Checks grammar, typos, overflow, consistency, and academic writing quality. Produces a report without editing files.

Cross-checks citation keys in index.qmd against references.bib, reporting missing, orphaned, and duplicate entries. Use when verifying citations.

Multi-agent slide review (visual, pedagogy, proofreading). Use for comprehensive quality check before milestones.

Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.

Structured literature search and synthesis with citation extraction and gap identification.

Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch.

Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset

Scans notebooks for data file references and verifies each file exists on disk. Use when checking for broken data paths.

Interactive interview to formalize a research idea into a structured specification with hypotheses and empirical strategy.

Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. Polars-native. Use for NHANES, CPS, ACS PUMS, BRFSS, DHS. Non-survey regression: statsmodels/pyfixest.

Comprehensive manuscript review covering argument structure, identification strategy, econometric specification, citation completeness, and potential referee objections.

Captures tool versions, packages, and kernel info as a reproducibility record in notes/. Use when documenting the environment.

Validate bibliography entries against citations in all manuscript files. Find missing entries and unused references.

Checks whether registered notebooks have current, stale, or missing outputs. Use before rendering or to verify freshness.

Compile a LaTeX manuscript with pdflatex (3 passes + bibtex). Use when compiling the research paper.

Scaffolds a method-specific analysis notebook (DiD, IV, RDD, LASSO, Panel FE) with boilerplate. Use when starting a new econometric analysis.

End-to-end R data analysis workflow from exploration through regression to publication-ready tables and figures.

Creates a Jupyter notebook with Jupytext pairing and registers it in _quarto.yml. Use when adding a new notebook.

Challenge research design decisions, assumptions, and methodology choices with specific critical questions. Helps strengthen the paper before submission.

Drafts academic prose for a manuscript section from bullet points or an outline. Use when writing or expanding a section.

Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset.

Creates a Quarto revealjs slide deck in slides/ with the project style guide. Use when a presentation is needed.

Run IV, DiD, and RDD analyses in R with proper diagnostics. Use when implementing causal inference methods, event studies, or treatment effect estimation.

Extract reusable knowledge from the current session into a persistent skill. Use when you discover something non-obvious, create a workaround, or develop a multi-step workflow that future sessions would benefit from.

Reactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment. Use when assembling Stage 9 notebooks, building data apps, or converting Jupyter to marimo .py format.

Polars DataFrame library for high-performance data manipulation. Lazy/eager execution, expressions, I/O (CSV, Parquet, JSON), aggregations, joins, string/datetime ops, pandas interop. Use for Polars DataFrames or reading/writing Parquet files.

Generates an HTML gallery of all project figures with captions and source notebooks. Use when reviewing figures.

Creates a structured annotation note in references/ with sections for research question, data, findings, and relevance. Use when documenting a paper.

Runs pre-submission checks (word count, anonymization, citations, placeholders, cross-refs) and generates a checklist. Use before journal submission.

Render Quarto slides and sync to docs/ for GitHub Pages deployment. Use when deploying lecture slides after making changes.

Formats estimation output as a publication-quality regression table with stars, SEs, and fit statistics. Use when creating a results table.

Generates robustness check code and formats results as a combined table. Use for sensitivity analysis.

plotnine static visualization (ggplot2 syntax for Python). Geoms, aesthetics, scales, coordinates, facets, themes. Use for static publication-quality figures with grammar-of-graphics syntax. For interactive charts use plotly; for maps use geopandas.