infrastructure-rendering
Skill for the rendering infrastructure module providing multi-format output generation including PDF manuscripts, HTML web pages, Beamer/Reveal.js slides, and posters. Use when rendering research outputs, converting markdown to PDF, generating slides, or configuring LaTeX rendering.
Best use case
infrastructure-rendering is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Skill for the rendering infrastructure module providing multi-format output generation including PDF manuscripts, HTML web pages, Beamer/Reveal.js slides, and posters. Use when rendering research outputs, converting markdown to PDF, generating slides, or configuring LaTeX rendering.
Teams using infrastructure-rendering should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/rendering/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How infrastructure-rendering Compares
| Feature / Agent | infrastructure-rendering | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Skill for the rendering infrastructure module providing multi-format output generation including PDF manuscripts, HTML web pages, Beamer/Reveal.js slides, and posters. Use when rendering research outputs, converting markdown to PDF, generating slides, or configuring LaTeX rendering.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Rendering Module
Multi-format output generation for research manuscripts. Converts markdown source into professional PDFs, HTML, slides, and posters.
## RenderManager (`core.py`)
The primary entry point for all rendering operations:
```python
from pathlib import Path
from infrastructure.rendering import RenderManager, RenderingConfig
# Default configuration (loaded from environment)
renderer = RenderManager()
# Custom configuration
config = RenderingConfig() # configure attributes as needed
renderer = RenderManager(
config=config,
manuscript_dir=Path("projects/my_project/manuscript"),
figures_dir=Path("projects/my_project/output/figures"),
)
# Render a single source file (.md or .tex)
renderer.render_pdf(source_file)
renderer.render_web(source_file) # standalone HTML
renderer.render_slides(source_file) # beamer (PDF) by default
renderer.render_all(source_file) # md → slides + web; tex → PDF
# Render combined manuscript from multiple ordered source files
renderer.render_combined_pdf(source_files, manuscript_dir, project_name="my_project")
```
## Rendering Configuration (`config.py`)
```python
from infrastructure.rendering import RenderingConfig
config = RenderingConfig()
# Configure PDF, HTML, slides options
```
## Manuscript Discovery
```python
from infrastructure.rendering import discover_manuscript_files, verify_figures_exist
# Find all manuscript markdown (and .tex) files in canonical order
files = discover_manuscript_files(manuscript_dir)
# Verify expected figures exist (returns dict with figures_dir_exists,
# found_figures, missing_figures, total_expected)
status = verify_figures_exist(project_root, manuscript_dir)
```
## PDF Rendering (`pdf_renderer.py`)
The main PDF rendering engine using Pandoc and LaTeX. Not re-exported via `__init__.py` — use direct import:
```python
from infrastructure.rendering.pdf_renderer import PDFRenderer
renderer = PDFRenderer(config)
renderer.render(source_file)
renderer.render_markdown(source_file)
renderer.render_combined(source_files, manuscript_dir, project_name="my_project")
```
**CLI:**
```bash
uv run python -m infrastructure.rendering.cli render --project {name}
uv run python -m infrastructure.rendering.render_all_cli
```
## Slides Rendering (`slides_renderer.py`)
Direct import required (not in `__init__.py`):
```python
from infrastructure.rendering.slides_renderer import SlidesRenderer
renderer = SlidesRenderer(config)
renderer.render(source_file, output_format="beamer") # PDF slides
renderer.render(source_file, output_format="revealjs") # HTML slides
```
## Web Rendering (`web_renderer.py`)
Direct import required (not in `__init__.py`):
```python
from infrastructure.rendering.web_renderer import WebRenderer
renderer = WebRenderer(config)
renderer.render(source_file)
renderer.render_combined(source_files, manuscript_dir, project_name="my_project")
```
## Poster Rendering (`poster_renderer.py`)
```python
from infrastructure.rendering.poster_renderer import render_poster
render_poster(source_file, config)
```
## LaTeX Utilities (`latex_utils.py`)
```python
from infrastructure.rendering.latex_utils import compile_latex
# Core LaTeX compilation function used by PDF and slides renderers
```
## LaTeX Package Validation (`latex_package_validator.py`)
Module-level CLI entry point — run as a module to validate the host LaTeX install:
```bash
uv run python -m infrastructure.rendering.latex_package_validator
```
**Troubleshooting:**
```bash
# Install missing LaTeX packages
sudo tlmgr install multirow cleveref doi newunicodechar
```
## Supporting Files
- `convert_latex_images.lua` — Pandoc Lua filter for LaTeX image conversion
- `ide_style.css` — CSS stylesheet for IDE-style rendering
## Public API Summary (`__init__.py`)
Only these are re-exported at package level:
| Export | Type |
| --- | --- |
| `RenderManager` | Class |
| `RenderingConfig` | Class |
| `discover_manuscript_files` | Function |
| `verify_figures_exist` | Function |Related Skills
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infrastructure-search-literature
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infrastructure-search
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infrastructure-scientific
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infrastructure-reporting
Skill for the reporting infrastructure module providing pipeline reporting, error aggregation, executive summaries, dashboard generation, test reporting, and multi-project reports. Use when generating build reports, aggregating errors, creating visual dashboards, or producing executive summaries across projects.
infrastructure-reference-citation
BibTeX read/write/convert that matches the syntax/semantics of projects/template_code_project/manuscript/references.bib (consumed by Pandoc with --natbib -- see infrastructure/rendering/_pdf_combined_renderer.py). Provides BibEntry/BibDatabase models, parse_bibfile/render_database functions, paper_to_bibentry conversion from literature search results, generate_citation_key in the project's house style (firstauthorlastname+year+firsttitleword), LaTeX-special-character escape helpers, and a CLI (validate/format/convert). Use when reading or writing .bib files, exporting search results to BibTeX, or generating citation keys.
infrastructure-reference
Bibliographic-reference utilities for research projects. Read, write, and convert BibTeX entries that match the syntax/semantics of projects/template_code_project/manuscript/references.bib (consumed by Pandoc with --natbib during PDF render -- see infrastructure/rendering/_pdf_combined_renderer.py). Currently exposes the `citation` submodule (BibTeX I/O + Paper→BibEntry conversion); designed to host additional reference workflows (e.g. CSL-JSON export, ORCID lookups) without breaking the public API.
infrastructure-publishing
Skill for the publishing infrastructure module providing academic publishing workflows including BibTeX CLI citation generation, APA/MLA citation helper functions, DOI management, Zenodo publication, arXiv submission preparation, GitHub releases, and publication readiness validation. Use when publishing research, generating citations, minting DOIs, or preparing submissions.
infrastructure-prose
Prose analysis utilities for research manuscripts and prose-focused projects. Provides readability metrics (Flesch, Flesch-Kincaid, Gunning Fog), heading-outline structural analysis, editorial quality flags (passive voice, hedge words, citation density, long sentences), aggregate ManuscriptReport across a manuscript directory, and a CLI (metrics/outline/quality/report). Use when analyzing manuscripts for readability, building editorial dashboards, validating heading structure, extracting citation keys from prose, or wiring prose-quality gates into the pipeline.
infrastructure-project
Skill for the project management infrastructure module providing multi-project discovery, structure validation, and metadata extraction. Use when discovering active projects, validating project directory structure, or extracting project configuration metadata.