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Image Search

Community
win4r
image_search

Search the web by text query for image URLs and source pages for feeds, artifacts, and visual references. Does not identify a supplied image or person.

Overview

Publisherwin4r
RepositoryMuseAI-Skills
Skill nameimage_search
Stars
382
Forks
116
Bundled files
Instructions only
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 win4r on GitHub. Read the source before you install it.

Installation

Install the Image Search 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/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/image-search
  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/win4r/MuseAI-Skills.git /tmp/MuseAI-Skills
mkdir -p .claude/skills
cp -r /tmp/MuseAI-Skills/opt/hatch/skills/image-search .claude/skills/image_search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image Search 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 Search 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 Search 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 Search

Use the bundled CLI to find public images by text query:

sh
/opt/hatch/bin/image-search "Golden Gate Bridge at sunset" --max-results 5

Optional result language:

sh
/opt/hatch/bin/image-search "Paris architecture" \
  --max-results 5 \
  --language fr

The CLI returns structured results and omits unavailable fields. Interpret the URLs as follows:

  • media_url is the public source image locator and the preferred full-image URL when present.
  • thumbnail_cdn_url is Meta's renderable CDN preview and the fallback when media_url is absent. Treat it as a cache URL, not the sole durable copy of an artifact.
  • media_handle and candidate_ref are internal, non-renderable fields. Do not fetch, display, or pass them as image URLs.
  • page_url is the source page. Retain it for provenance or attribution.

The service returns only results with media_url or thumbnail_cdn_url. Ignore any result that lacks both renderable URL fields. Choose the result that best matches the request rather than blindly taking the first one.

This skill returns locators only: it does not download, upload, or turn an image into a Muse media reference. A Feed may use a suitable remote image URL. For an Artifact that needs a durable local copy, pass the chosen locator and source page through the Artifact's supported media-ingestion path; do not treat the CDN thumbnail as permanent storage.

For an Artifact, choose a download-safe locator before starting any fetch:

  1. Inspect all returned results and prefer an HTTPS media_url with no URL credentials, query string, or fragment. Preserve result order among those simple public URLs.

  2. Preflight each candidate like a browser, with a cross-origin referer, then fetch one candidate at a time with bounded connect and total timeouts (substitute real values for the placeholders):

    sh
    curl -fsSLI -A 'Mozilla/5.0' -H 'Accept: image/png,image/jpeg,image/gif,image/webp,image/*;q=0.5' -H 'Referer: <any-https-origin-that-is-not-the-image-host>' '<image-url>'
    curl -fsSL --connect-timeout 10 --max-time 60 -A 'Mozilla/5.0' -H 'Accept: image/png,image/jpeg,image/gif,image/webp,image/*;q=0.5' -o '<dest-file>' '<image-url>'

    Accept only a final 2xx whose content type and file magic are an image, then copy those bytes into Artifact-owned storage. Prefer PNG or JPEG: WEBP is fine except in a Word document, and AVIF except on a web page, which refuses it at share time with no retry that fixes it. Convert a HEIC to JPEG anywhere. Reject hotlink-blocked, expiring, redirecting, 403/404, non-image, watermarked, or unstable URLs. The referer matters: a hotlink-protected host serves a plain fetch but refuses requests that look like they come from someone else's page, so a URL that fails this probe breaks after the Artifact ships even though it loads for you today. The same preflight applies to any external image URL an Artifact uses, however it was found.

  3. If no simple media_url succeeds, consider a query-bearing media_url or thumbnail_cdn_url. Use the returned locator byte-for-byte; never remove or rewrite its query string to make it look simpler.

Search-result pre-approval records the returned locator's exact path and query, so a plain GET/HEAD that uses it byte-for-byte is normally allowed without another prompt even when it has a query string. Do not keep retrying or substitute an unrelated local image when a fetch fails.

This is text-to-image search, not reverse-image identification. Do not use it to identify an unknown person from a supplied photograph.

Frequently asked questions

What does the Image Search AI skill do?

Search the web by text query for image URLs and source pages for feeds, artifacts, and visual references. Does not identify a supplied image or person.

Why use Image Search on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/image-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Image Search?

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 Search?

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

Is the Image Search AI skill free?

It is published on GitHub by win4r. Check the repository for licensing terms. 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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