A high-performance LaTeX compilation engine for AI agents to generate professional PDFs from source strings.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install latex-compiler
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install latex-compiler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The LaTeX Compiler is a robust skill designed for AI coding agents to transform raw LaTeX code into polished PDF documents. It leverages a dedicated compilation server to handle complex typesetting tasks, including multi-pass processing for cross-references and bibliography management via biber. This skill is a vital addition to the Openclaw Skills ecosystem for researchers, students, and technical writers who need reliable document generation.
It operates entirely within a containerized environment, ensuring that LaTeX source strings are processed securely via HTTP without requiring host filesystem access. By supporting multiple engines like pdflatex, xelatex, and lualatex, it offers broad compatibility for various languages and formatting requirements, including specialized templates for IEEE papers and academic presentations.
To use this within the Openclaw Skills framework, you must have the Prismer LaTeX server running on your local machine or a reachable container.
# Ensure the Prismer container is running to provide the compilation server
docker-compose up -d
Verify that the service is listening on localhost:8080. No additional host filesystem configuration is required as all communication occurs over HTTP, making it a secure choice for Openclaw Skills users.
The skill manages data primarily through content strings and container-internal storage. It does not mount host volumes.
| Field | Description |
|---|---|
| Source Content | Raw LaTeX string passed via tool parameters. |
| Output Path | Internal container path: /home/user/output/reports/. |
| Preview Format | Base64 encoded PDF string for immediate frontend display. |
| Metadata | Includes logs, warnings, and compilation IDs for debugging. |
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