Visual Audit

CommunityPopular

pedrohcgs

visual-audit

Adversarial visual-layout audit of a Quarto `.qmd` or Beamer `.tex` deck. Flags overflow, font inconsistency, box fatigue, spacing, and alignment issues. Use when user says "visual audit", "check the layout", "does this overflow?", "look for visual issues", "audit the slides", or after reworking a deck's appearance. Does NOT check writing or pedagogy — pair with `/proofread` or `/pedagogy-review`.

Overview

Publisher	pedrohcgs
Repository	`claude-code-my-workflow`
Skill name	`visual-audit`
Stars	1.6K
Forks	3.1K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by pedrohcgs on GitHub. Read the source before you install it.

Installation

Install the Visual Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/visual-audit
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/visual-audit

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/pedrohcgs/claude-code-my-workflow.git /tmp/claude-code-my-workflow
mkdir -p .claude/skills
cp -r /tmp/claude-code-my-workflow/.claude/skills/visual-audit .claude/skills/visual-audit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visual Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Visual Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Visual Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Visual Audit of Slide Deck

Perform a thorough visual layout audit of a slide deck.

Steps

Read the slide file specified in $ARGUMENTS
For Quarto (.qmd) files:
- Render with quarto render Quarto/$ARGUMENTS
- Measure the render: "${SLIDE_QA_PYTHON:-python3}" scripts/slide-qa.py Quarto/<deck>.html. It loads the deck in headless Chrome with every fragment shown and writes quality_reports/audits/slide-qa/<deck>/report.md — per-slide pixels past each edge, the offending element, content hidden inside scrolling elements — plus one screenshot per slide, and broken images or local files whose path is missing or in the wrong letter case (these break on GitHub Pages). OVERFLOW findings come from this report, and a broken or wrong-case asset is a finding too; Read the screenshots of flagged and dense slides for the other checks.
- If it exits 2 (usually Playwright is missing — the script prints the one-time venv install and the SLIDE_QA_PYTHON line to set), say so, fall back to reading the rendered HTML of the dense slides and any screenshot the user supplies, and name the slides the user should eyeball
For Beamer (.tex) files:
- Compile (see /compile-latex), check the log for overfull hbox warnings, and Read the PDF pages that carry figures or dense content
Audit every slide for:

OVERFLOW: Content exceeding slide boundaries FONT CONSISTENCY: Inline font-size overrides, inconsistent sizes BOX FATIGUE: 3+ colored boxes on one slide (INV-7 allows two), wrong box types SPACING: Missing negative margins, missing fig-align LAYOUT: Missing transitions, missing framing sentences, semantic colors
Produce a report organized by slide with severity and recommendations
Follow the spacing-first principle:
1. Reduce vertical spacing with negative margins
2. Consolidate lists
3. Move displayed equations inline
4. Reduce image/SVG size
5. Last resort: font size reduction (never below 0.85em)

Frequently asked questions

What does the Visual Audit AI skill do?

Why use Visual Audit on TypingMind?

Because you install it once and use it with any model. Visual Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Visual Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/visual-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Visual Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Visual Audit?

As many as you like. As long as a model supports skills, you can use Visual Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Visual Audit AI skill free?

Yes. It is published on GitHub by pedrohcgs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Visual Audit of Slide Deck

Steps

Frequently asked questions

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