Build Paper Skill
SkillDocs & knowledgeCompile LaTeX to PDF using pdflatex + bibtex cycle
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Build Paper Skill skill
What this skill tells your AI
The instructions your AI receives, as published by alexander-m-dickerson/ai-asset-pricing in .claude/skills/build-paper/SKILL.md and read by ahel’s review.
Compile the paper from LaTeX source to PDF.
Examples
/build-paper-- full compile cycle for main.tex/build-paper --quick-- single pdflatex pass (faster, no bibliography update)/build-paper path/to/file.tex-- compile a specific file
Workflow
Full Build (default)
- Run pdflatex (first pass)
- Run bibtex
- Run pdflatex (second pass -- resolve references)
- Run pdflatex (third pass -- finalize)
- Check for errors/warnings
- Report result
Quick Build (--quick)
- Run single pdflatex pass
- Report result
Commands
Use the pdflatex and bibtex paths from canonical local state reported by tools/bootstrap.py audit (or a repo-root CLAUDE.local.md compatibility shim if present). The general pattern:
Full build:
cd {latex_dir} && pdflatex -interaction=nonstopmode {file} && bibtex {stem} && pdflatex -interaction=nonstopmode {file} && pdflatex -interaction=nonstopmode {file}
Quick build:
cd {latex_dir} && pdflatex -interaction=nonstopmode {file}
IMPORTANT: Always cd to the directory containing the .tex file before compiling.
Output
BUILD REPORT
============
Status: SUCCESS / FAILED
Warnings: N
Errors: N
[list of warnings if any]
[list of errors if any]
Output: {latex_dir}/{stem}.pdf
Common Issues
- Undefined references: Run full build (not quick)
- Missing citations: Check the
.bibfile has the key - Package errors: Check
\usepackagedeclarations - Font warnings: Usually harmless (font substitution)
Signals
- GitHub stars
- 59
- Forks
- 10
- Last commit
- Apr 2026
Advanced
- Catalog kind
- skill
- Gateway key
build-paper- Source
- github.com/alexander-m-dickerson/ai-asset-pricing