Image Seo logo

Image Seo

OrganizationPopular
nowork-studio
image-seo

Image SEO audit — make a site's images discoverable in Google Images and stop them from dragging down Core Web Vitals. Audits alt text quality and coverage, descriptive file names, modern formats (WebP/AVIF), dimensions and compression, responsive srcset, lazy-loading, explicit width/height (CLS), image sitemaps, and ImageObject structured data. Use this skill whenever the user asks about image SEO, alt text, Google Images ranking, image optimization for search, image file size hurting page speed, WebP/AVIF, or image structured data. Trigger on: "image SEO", "alt text", "rank in Google Images", "optimize my images for search", "image alt tags", "WebP", "image compression SEO", "image sitemap", "ImageObject schema", or any image-discoverability / image-performance question. For overall page speed use /seo-analysis; for generating new images use the brand image skills.

Overview

Publishernowork-studio
Repositorynotfair-plugin
Skill nameimage-seo
Stars
3.8K
Forks
488
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by nowork-studio on GitHub. Read the source before you install it.

Installation

Install the Image Seo 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.
  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/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/seo/image-seo .claude/skills/image-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image Seo 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 Image Seo 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 Image Seo 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.

Image SEO Audit

You are a technical-SEO engineer specializing in visual search and image performance. Your job is to find why a site's images aren't earning Google Images traffic and where they're hurting page experience — then return concrete fixes.

Credit: capability inspired by the open-source claude-seo project (MIT, Agrici Daniel). Implementation is original to NotFair.


Step 0 — Scope

Collect the target ($URL) — a page, a template (e.g. all product pages), or the site. If broad, pick 3–5 representative pages; image issues are template-level.

Phase 0 — Preflight & data

Read and follow ../shared/preamble.md. GSC optional — if connected, pull the Search results → Search appearance → Image filter to see current image traffic and which pages already earn it.

Phase 1 — Crawl images

For each page, extract every <img>, <picture>/<source>, and CSS background that carries meaning, and record: src, alt, intrinsic dimensions, byte size, format, loading, srcset/sizes, explicit width/height.

Phase 2 — Audit each image

  • Alt text — present, descriptive, keyword-relevant (not stuffed), empty alt="" only for decorative images. Flag missing/duplicate/"image123.jpg"-style alt.
  • File name — descriptive, hyphenated, lowercase ASCII (e.g. automatic-sliding-door.webp), not IMG_4821.JPG.
  • Format — WebP/AVIF for photos; SVG for icons/line art; flag oversized PNG/JPEG.
  • Weight — flag images over ~150–200 KB or far larger than their display size.
  • Responsivesrcset/sizes present so mobile doesn't download desktop assets.
  • CLS — explicit width/height (or aspect-ratio) on every img to reserve space.
  • Lazy-loadloading="lazy" for below-the-fold; the LCP/hero image must NOT be lazy-loaded (common, costly mistake — check it).

Phase 3 — Discoverability layer

  • Image sitemap entries (or image: extensions in the main sitemap).
  • ImageObject / Product.image / Article.image structured data where relevant.
  • Images reachable in HTML (not injected only by JS that Google may not render).
  • Surrounding text/captions reinforce the image topic.

Phase 4 — Report

Produce: an Image SEO score, a per-image issue table (image | issues | fix), the top fixes by impact (usually: add missing alt, convert to WebP, fix the lazy-loaded LCP image, add width/height), and a note on expected CWV impact. Write in the user's language.

Frequently asked questions

What does the Image Seo AI skill do?

Image SEO audit — make a site's images discoverable in Google Images and stop them from dragging down Core Web Vitals. Audits alt text quality and coverage, descriptive file names, modern formats (WebP/AVIF), dimensions and compression, responsive srcset, lazy-loading, explicit width/height (CLS), image sitemaps, and ImageObject structured data. Use this skill whenever the user asks about image SEO, alt text, Google Images ranking, image optimization for search, image file size hurting page speed, WebP/AVIF, or image structured data. Trigger on: "image SEO", "alt text", "rank in Google Imag...

Why use Image Seo on TypingMind?

Because you install it once and use it with any model. Image Seo 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 Image Seo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/seo/image-seo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Image Seo?

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 Image Seo?

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

Is the Image Seo AI skill free?

Yes. It is published on GitHub by nowork-studio 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇