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Premium Visual Reference Library

Community
TheGoat395
premium-visual-reference-library

Find references, Viktor Oddy and MotionSites.

Overview

PublisherTheGoat395
RepositoryCodex-Skills
Skill namepremium-visual-reference-library
Stars
136
Forks
48
Bundled files
11
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.

  • 11 bundled files

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

  • Open source

    Published by TheGoat395 on GitHub. Read the source before you install it.

Installation

Install the Premium Visual Reference Library 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/TheGoat395/Codex-Skills/tree/main/skills/premium-visual-reference-library
  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/TheGoat395/Codex-Skills.git /tmp/Codex-Skills
mkdir -p .claude/skills
cp -r /tmp/Codex-Skills/skills/premium-visual-reference-library .claude/skills/premium-visual-reference-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Premium Visual Reference Library 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 Premium Visual Reference Library 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 Premium Visual Reference Library 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.

Premium Visual Reference Library

Use this skill to pick reference sources before designing a premium website.

Workflow

  1. Identify the site category: product/devtool, luxury/editorial, portfolio, hospitality, commerce, personal, agency, or content/media.
  2. Read sources.md for the relevant source clusters.
  3. When the user names a creator, asks for many examples, or uses a style shorthand, also read creator-and-pattern-index.md and creator-methods-evidence.md.
  4. When Viktor Oddy or MotionSites is named, read motionsites-viktor-evidence.md and refresh any count or catalog claim that matters to the current project.
  5. Select enough distinct references for the open decision; 3–7 is a broad direction-study option, not a quota for a supplied exact reference.
  6. Extract concrete patterns: type, layout, density, media, motion, CTA, proof, navigation, section rhythm, and mobile behavior.
  7. State what not to copy.
  8. When implementation is in scope, add selected traits to the shared build spec; a reference-only request ends with the source-backed study.

Retrieve only the selected material

Use the bundled read-only helper from any working directory:

bash
python3 "<skill-root>/scripts/query_catalog.py" --search "reorder" --limit 5
python3 "<skill-root>/scripts/query_catalog.py" --id M-01

Resolve <skill-root> to this skill's actual installation. Search returns bounded discovery results; exact ID returns the original record with its provenance and limitations. The helper checks source fingerprints against the overlay, makes no external requests and writes nothing. If Python is unavailable, search the named JSON file for the selected ID and read that record plus its matching overlay record; no helper installation is required.

The four raw catalogs preserve 50 author-created style playbooks, 100 implementation leads, 22 dated creator-method interpretations and 20 historical video-study records. Repeated mechanism text is generic inference, not verified example code; repeated video-study text is synthesis, not independent per-video observation. Fixed palette, timing, target-size, frame-time and DPR values are illustrative starting choices, not universal standards or measured budgets. Inspect the selected live source and current technical documentation before relying on its actual behavior. Do not load or recrawl every catalog for one reference.

Source Fidelity

Preserve exact user-supplied or user-owned prompts when requested. Otherwise use references to understand quality and label independent reconstructions accurately; do not claim third-party brand assets, copy, or unobserved behavior as owned or verified.

Use the matching record in the catalog provenance overlay before item-level evidence claims; the exact-ID helper includes it. Raw catalogs retain all original text/URLs unchanged. The overlay separates dated claims, generalized defaults and currently recoverable evidence. Generic repeated study text is not independently observed per-item evidence. Inspect exact selected references when reusing them; do not recrawl every catalog or assume all historical image paths still resolve.

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 Premium Visual Reference Library AI skill do?

Find references, Viktor Oddy and MotionSites.

Why use Premium Visual Reference Library on TypingMind?

Because you install it once and use it with any model. Premium Visual Reference Library 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 Premium Visual Reference Library in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheGoat395/Codex-Skills/tree/main/skills/premium-visual-reference-library. 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 Premium Visual Reference Library?

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 Premium Visual Reference Library?

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

Is the Premium Visual Reference Library AI skill free?

Yes. It is published on GitHub by TheGoat395 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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