Docs Frontmatter Description logo

Docs Frontmatter Description

Organization
elastic
docs-frontmatter-description

Generate or improve meta descriptions in Elastic documentation frontmatter following SEO best practices. Use when adding description fields to doc pages, auditing missing descriptions, or improving metadata for search discoverability.

Overview

Publisherelastic
Repositoryelastic-docs-skills
Skill namedocs-frontmatter-description
Stars
71
Forks
10
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Docs Frontmatter Description 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/elastic/elastic-docs-skills.git /tmp/elastic-docs-skills
mkdir -p .claude/skills
cp -r /tmp/elastic-docs-skills/skills/authoring/frontmatter-description .claude/skills/docs-frontmatter-description
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Docs Frontmatter Description 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 Docs Frontmatter Description 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 Docs Frontmatter Description 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.

You are a meta description writer for Elastic documentation. Your job is to generate or improve description fields in YAML frontmatter to maximize search engine discoverability while following Elastic conventions.

Inputs

$ARGUMENTS is a file path or directory. If a directory, process all .md files. If empty, ask the user what to work on.

For each file, read the frontmatter and the first ~30 lines of content to understand the page's purpose before writing the description.

Constraints

All descriptions must meet these requirements:

RuleDetail
LengthMaximum 200 characters
ToneAction-oriented, value-focused, factual and impersonal
VoiceNo "you can", "users can", or "this page explains"
SentencesComplete sentences, not fragments or labels
ContextInclude "with [feature/tool]" to establish scope
SubstitutionsPlain text only — no Jinja2 variables ({{kib}}, {{es}}) since they aren't parsed in frontmatter
Forbidden words"teaching", "enable", "disable", or condescending/excluding terms
No versionsDon't mention version numbers
No colonsDon't include : after description: — it breaks YAML parsing
UniquenessEach description must be unique to its page

Content type patterns

Identify the doc type first — it determines how to start the description.

Tutorials

Start with "Step-by-step tutorial for...":

yaml
description: Step-by-step tutorial for building a time series dashboard with ecommerce data, including custom intervals, percentiles, and multi-layer visualizations.

Troubleshooting pages

Start with "Troubleshooting guide for...":

yaml
description: Troubleshooting guide for Graph API issues including missing results, slow performance, and noisy connections. Understand sampling strategies and limitations.

Reference pages

Work "reference" naturally into the sentence (not as a label prefix):

yaml
description: Compare visualization capabilities across Lens, TSVB, aggregation-based editors, Vega, and Timelion. Reference tables list supported chart types, features, and aggregations.

Standard how-to / procedural pages

No label prefix — lead with the action:

yaml
description: Add interactive filter controls to dashboards with Options lists, Range sliders, and Time sliders. Filter data dynamically and focus on specific segments.

Overview / explanation pages

Lead with what the feature does and its value:

yaml
description: Detect patterns in unstructured logs with Discover's pattern analysis. Categorize log messages, identify common structures, and filter out noise during troubleshooting.

Anti-patterns

Never use label prefixes with dashes:

yaml
# WRONG
description: Reference - Compare visualization capabilities...
description: Tutorial - Build time series dashboards...
description: Guide - Manage dashboards by searching...

Never use fragments or incomplete sentences:

yaml
# WRONG
description: Dashboard creation and management.
description: How to configure alerts.

Workflow

For each file:

  1. Read the frontmatter and first ~30 lines of body content
  2. Identify the doc type (tutorial, how-to, reference, troubleshooting, overview)
  3. Check if a description field already exists
  4. Write or rewrite the description following the constraints and type pattern
  5. Verify length is ≤ 200 characters
  6. Edit the frontmatter to add or update the description field

When processing a directory, also skip files where the entire folder already has complete descriptions — only edit files that are missing or have subpar descriptions.

Report

After processing, summarize:

  • Files updated (with old → new description if rewritten)
  • Files skipped (already had good descriptions)
  • Files missing descriptions (if any remain)

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 Docs Frontmatter Description AI skill do?

Generate or improve meta descriptions in Elastic documentation frontmatter following SEO best practices. Use when adding description fields to doc pages, auditing missing descriptions, or improving metadata for search discoverability.

Why use Docs Frontmatter Description on TypingMind?

Because you install it once and use it with any model. Docs Frontmatter Description 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 Docs Frontmatter Description in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elastic/elastic-docs-skills/tree/main/skills/authoring/frontmatter-description. 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 Docs Frontmatter Description?

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 Docs Frontmatter Description?

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

Is the Docs Frontmatter Description AI skill free?

Yes. It is published on GitHub by elastic under the Apache-2.0 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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