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Fixing Metadata

CommunityPopular
ibelick
fixing-metadata

Audit and fix HTML metadata including page titles, meta descriptions, canonical URLs, Open Graph tags, Twitter cards, favicons, JSON-LD structured data, and robots directives. Use when adding SEO metadata, fixing social share previews, reviewing Open Graph tags, setting up canonical URLs, or shipping new pages that need correct meta tags.

Overview

Publisheribelick
Repositoryui-skills
Skill namefixing-metadata
Stars
8.7K
Forks
396
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 ibelick on GitHub. Read the source before you install it.

Installation

Install the Fixing Metadata 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/ibelick/ui-skills.git /tmp/ui-skills
mkdir -p .claude/skills
cp -r /tmp/ui-skills/skills/fixing-metadata .claude/skills/fixing-metadata
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fixing Metadata 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 Fixing Metadata 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 Fixing Metadata 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.

Workflow

  1. Identify pages with missing or incorrect metadata (titles, descriptions, canonical, OG tags)
  2. Audit against the priority rules below — fix critical issues (duplicates, indexing) first
  3. Ensure title, description, canonical, and og:url all agree with each other
  4. Verify social cards render correctly on a real URL, not localhost
  5. Keep diffs minimal and scoped to metadata only — do not refactor unrelated code

when to apply

Reference these guidelines when:

  • adding or changing page titles, descriptions, canonical, robots
  • implementing Open Graph or Twitter card metadata
  • setting favicons, app icons, manifest, theme-color
  • building shared SEO components or layout metadata defaults
  • adding structured data (JSON-LD)
  • changing locale, alternate languages, or canonical routing
  • shipping new pages, marketing pages, or shareable links

rule categories by priority

prioritycategoryimpact
1correctness and duplicationcritical
2title and descriptionhigh
3canonical and indexinghigh
4social cardshigh
5icons and manifestmedium
6structured datamedium
7locale and alternateslow-medium
8tool boundariescritical

quick reference

1. correctness and duplication (critical)

  • define metadata in one place per page, avoid competing systems
  • do not emit duplicate title, description, canonical, or robots tags
  • metadata must be deterministic, no random or unstable values
  • escape and sanitize any user-generated or dynamic strings
  • every page must have safe defaults for title and description

2. title and description (high)

  • every page must have a title
  • use a consistent title format across the site
  • keep titles short and readable, avoid stuffing
  • shareable or searchable pages should have a meta description
  • descriptions must be plain text, no markdown or quote spam

3. canonical and indexing (high)

  • canonical must point to the preferred URL for the page
  • use noindex only for private, duplicate, or non-public pages
  • robots meta must match actual access intent
  • previews or staging pages should be noindex by default when possible
  • paginated pages must have correct canonical behavior

4. social cards (high)

  • shareable pages must set Open Graph title, description, and image
  • Open Graph and Twitter images must use absolute URLs
  • prefer correct image dimensions and stable aspect ratios
  • og:url must match the canonical URL
  • use a sensible og:type, usually website or article
  • set twitter:card appropriately, summary_large_image by default

5. icons and manifest (medium)

  • include at least one favicon that works across browsers
  • include apple-touch-icon when relevant
  • manifest must be valid and referenced when used
  • set theme-color intentionally to avoid mismatched UI chrome
  • icon paths should be stable and cacheable

6. structured data (medium)

  • do not add JSON-LD unless it clearly maps to real page content
  • JSON-LD must be valid and reflect what is actually rendered
  • do not invent ratings, reviews, prices, or organization details
  • prefer one structured data block per page unless required

7. locale and alternates (low-medium)

  • set the html lang attribute correctly
  • set og:locale when localization exists
  • add hreflang alternates only when pages truly exist
  • localized pages must canonicalize correctly per locale

8. tool boundaries (critical)

  • prefer minimal changes, do not refactor unrelated code
  • do not migrate frameworks or SEO libraries unless requested
  • follow the project's existing metadata pattern (Next.js metadata API, react-helmet, manual head, etc.)

review guidance

  • fix critical issues first (duplicates, canonical, indexing)
  • ensure title, description, canonical, and og:url agree
  • verify social cards on a real URL, not localhost
  • prefer stable, boring metadata over clever or dynamic
  • keep diffs minimal and scoped to metadata only

Frequently asked questions

What does the Fixing Metadata AI skill do?

Audit and fix HTML metadata including page titles, meta descriptions, canonical URLs, Open Graph tags, Twitter cards, favicons, JSON-LD structured data, and robots directives. Use when adding SEO metadata, fixing social share previews, reviewing Open Graph tags, setting up canonical URLs, or shipping new pages that need correct meta tags.

Why use Fixing Metadata on TypingMind?

Because you install it once and use it with any model. Fixing Metadata 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 Fixing Metadata in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ibelick/ui-skills/tree/main/skills/fixing-metadata. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fixing Metadata?

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 Fixing Metadata?

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

Is the Fixing Metadata AI skill free?

Yes. It is published on GitHub by ibelick 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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