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AutomationPython

Beamer Scaffold

by WILLOSCAR

Beamer Scaffold is an Automation skill for Claude Code, published by WILLOSCAR in research-units-pipeline-skills.

499 stars39 forkson WILLOSCAR/research-units-pipeline-skillsAdded 2026/08/26Repository updated 2026/08/26
claudeclaude-codecodexgptpipelineresearchresearch-paperresearch-projectresearch-toolskillstoolsunitsvibevibe-codingvibecoding
Install in seconds
Install Beamer Scaffold
Copy Beamer Scaffold into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/beamer-scaffold ~/.claude/skills/beamer-scaffold

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/WILLOSCAR/research-units-pipeline-skills.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
.codex/skills/beamer-scaffold/SKILL.md in WILLOSCAR/research-units-pipeline-skills
Installs to
~/.claude/skills/beamer-scaffold
Collection
One of 25 skills cataloged from this repository
Category
Automation โ€” 1523 skills

What Beamer Scaffold does

Beamer Scaffold generates a compile-ready Beamer deck from a finished tutorial and approved module plan. Use it when you need to turn output/TUTORIAL.md into latex/slides/main.tex.

Beamer Scaffold is cataloged under Automation on DirSkills. Beamer Scaffold comes from a repository tagged claude, claude-code, codex, gpt and pipeline.

Documentation

README

Beamer Scaffold

Goal: produce a compile-ready Beamer deck from the final tutorial.

output/TUTORIAL.md is the canonical prose input, while outline/module_plan.yml keeps the slide deck aligned with the approved module order.

Inputs

  • output/TUTORIAL.md
  • outline/module_plan.yml

Outputs

  • latex/slides/main.tex

Script

Quick Start

  • uv run python .codex/skills/beamer-scaffold/scripts/run.py --workspace <workspace>

All Options

  • --workspace <dir> (required)
  • --unit-id <U###>
  • --inputs <semicolon-separated>
  • --outputs <semicolon-separated>
  • --checkpoint <C#>

Examples

  • Build latex/slides/main.tex from the tutorial:
    • uv run python .codex/skills/beamer-scaffold/scripts/run.py --workspace <workspace>

Frequently asked about Beamer Scaffold

  • What else does WILLOSCAR publish alongside Beamer Scaffold?

    Beamer Scaffold is one of 25 skills that DirSkills catalogs from WILLOSCAR/research-units-pipeline-skills, the repository it ships in. Its siblings there include Agent Survey Corpus, Anchor Sheet and Appendix Table Writer. Each one is a separate skill with its own page in this directory, installs the same way Beamer Scaffold does, and is maintained by WILLOSCAR in that same repository. The rest of the collection is listed on the WILLOSCAR/research-units-pipeline-skills page.

  • How does Beamer Scaffold compare to other Automation skills?

    Beamer Scaffold ranks #1351 by stars among the 1523 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Beamer Scaffold against them. Open each page to compare what they document and how they install.

More from WILLOSCAR/research-units-pipeline-skills

Beamer Scaffold is one of 25 skills cataloged on DirSkills from WILLOSCAR/research-units-pipeline-skills.

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Appendix Table Writer curates reader-facing survey tables for paper appendices using only in-scope evidence and existing citation keys. Use it when you have evidence packs, anchor sheets, and citations and need publishable tables instead of internal logs.
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ArXiv Search retrieves paper metadata from arXiv keyword queries and writes normalized results to JSONL. Use it to build an initial paper set for ranking, taxonomy, or citation workflows, or to import and enrich offline exports.
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