End-to-end beautiful Beamer deck creation. Designs an original Beamer theme tailored to a specific audience, restructures existing content via the Rhetoric of Decks (ethos / pathos / logos), generates figures and tables from R/Python/Stata code first, embeds code blocks in the deck, produces standalone walkthrough…
Many-agent bibliography audit. Verify each citation in a .bib file by spawning narrow-focus agents that confirm DOI/URL and cross-check that all fields belong to the same paper. Catches mixed-up entries (one paper's title with another's authors), wrong years, journal misattributions, and unverifiable references. Use…
Peripheral vision audit for empirical output. Finds what the author cannot see — problems hiding in plain sight (vices) and opportunities being overlooked (virtues). Inspired by Viktor Shklovsky's defamiliarization and conversations with Jason Fletcher. Use when output exists and interpretation is about to happen.
Create and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy. Use when making slides, creating decks, or compiling .tex presentation files.
Scaffold a new book project — folders, memoir-based LaTeX skeleton, custom style with voiced sidebars, bibliography stub, CLAUDE.md, README, and a chapter-per-file structure that converts cleanly to HTML later. Use at the start of a book project to get a compileable skeleton in one step. Parallel to /newproject and…
Scaffold a new research project with standard directory structure, CLAUDE.md template, and documented README. Use this at the start of every new project to ensure consistent organization.
Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.
Download, split, and deeply read academic PDFs. Use when asked to read, review, or summarize an academic paper. Splits PDFs into 4-page chunks, reads them in small batches, and produces structured reading notes — avoiding context window crashes and shallow comprehension.
Quick visual-collision check for figures — TikZ inside .tex files OR rendered .png/.jpg/.pdf figures from R/Python. Three checks only. (1) Bezier-curve label collisions via gap math. (2) Label-to-object whitespace. (3) Labels touching or running off the figure edge. These are the visual errors that compile cleanly …
Warrant-first research GTD system. Manages the capture-clarify-organize-reflect-engage cycle for causal inference research. Scaffolds hypotheses/, insights/, decisions/ directories. Interrogates conjectures, files results, tracks binding decisions, checks pipeline freshness, drives the courtroom checklist.
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