Creative Rendering Audit logo

Creative Rendering Audit

Organization
memi-design
creative-rendering-audit

Audit shaders, GPU-driven effects, dithering, particles, and creative rendering for visual intent, correctness, performance, accessibility, fallbacks, evidence quality, and source licensing.

Overview

Publishermemi-design
Repositorydesign-skills
Skill namecreative-rendering-audit
Stars
7
Forks
0
Bundled files
4
LicenseMIT
Links
  • 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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by memi-design on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/memi-design/design-skills/tree/main/skills/creative-rendering-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/memi-design/design-skills.git /tmp/design-skills
mkdir -p .claude/skills
cp -r /tmp/design-skills/skills/creative-rendering-audit .claude/skills/creative-rendering-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Creative Rendering 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 Creative Rendering 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 Creative Rendering 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.

Creative Rendering Audit

Audit the supplied implementation and rendered behavior. Keep the audit read-only unless the user separately authorizes fixes.

Workflow

  1. Establish the intended visual behavior, target platforms, supported hardware, quality tiers, fallback, and user-facing acceptance criteria.
  2. Map the rendering path from host inputs to shader stages, textures, render targets, compositing, and final presentation.
  3. Gather evidence:
    • Read shader and host-language source with file and line anchors.
    • Capture compilation, validation, and device-loss messages.
    • Exercise deterministic frames with a fixed seed and clock.
    • Compare the full effect, reduced-motion path, unsupported-renderer path, and static fallback.
    • Profile realistic content at the stated resolution on named hardware.
  4. Review every dimension in references/audit-rubric.md.
  5. Use references/platform-evidence.md for surface-specific evidence and failure modes.
  6. Reproduce or directly observe every high-severity finding. Mark code-only inferences as hypotheses.
  7. Report missing evidence as unassessed. Do not award a pass for a dimension that could not be tested.

Scoring

Score only verified evidence.

DimensionPoints
Visual intent and interaction fit15
Coordinate, sampling, color, and alpha correctness20
Dither and temporal stability15
Performance and resource bounds20
Accessibility, fallback, and failure behavior20
Provenance, licensing, and reproducible evidence10

Apply these caps:

  • Missing or incompatible source or asset license: maximum 49.
  • No accessible or unsupported-renderer fallback: maximum 69.
  • No rendered runtime evidence: maximum 79.
  • No named-device performance evidence for an animated effect: maximum 89.

Include a confidence value derived from assessed points divided by 100. Unknown dimensions score zero and lower confidence.

Required output

Start with a findings table ordered by severity:

SeverityEvidenceFindingUser impactRequired correction

Use critical, high, medium, or low. Cite file:line and attach runtime evidence when available.

Then provide:

  • score, confidence, assessed dimensions, and applied caps;
  • platform, device, resolution, seed, clock, and quality tier;
  • checks that passed with evidence;
  • unassessed behavior and the exact evidence needed;
  • a verdict of Block, Conditional pass, or Pass.

Verdict rules

  • Block for unsafe or incompatible licensing, inaccessible essential content, persistent rendering failure, unbounded sampling, or a reproducible severe performance regression.
  • Conditional pass when the bounded effect works but platform, accessibility, or named-device evidence is incomplete.
  • Pass only when all required dimensions have verified evidence and no critical or high finding remains.

Boundaries

  • Do not treat a deterministic fixture as live integration proof.
  • Do not infer visual quality from a successful build.
  • Do not hide performance variance behind an average alone; include worst observed behavior or a percentile where tooling permits.
  • Do not recommend copying restricted reference implementations.

Maintenance

Review platform evidence and reference links at least every 180 days. Refresh the registry and provenance verification dates only after inspection, then run the repository validator.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Creative Rendering Audit AI skill do?

Audit shaders, GPU-driven effects, dithering, particles, and creative rendering for visual intent, correctness, performance, accessibility, fallbacks, evidence quality, and source licensing.

Why use Creative Rendering Audit on TypingMind?

Because you install it once and use it with any model. Creative Rendering 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 Creative Rendering Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memi-design/design-skills/tree/main/skills/creative-rendering-audit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Creative Rendering 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 Creative Rendering Audit?

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

Is the Creative Rendering Audit AI skill free?

Yes. It is published on GitHub by memi-design 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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