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Fetch Sitemap

Community
LeeJuOh
fetch-sitemap

Extract URLs from an XML sitemap with optional regex filtering

Overview

PublisherLeeJuOh
Repositoryclaude-code-zero
Skill namefetch-sitemap
Stars
53
Forks
4
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 LeeJuOh on GitHub. Read the source before you install it.

Installation

Install the Fetch Sitemap 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/LeeJuOh/claude-code-zero/tree/main/plugins/toolbox/skills/fetch-sitemap
  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/LeeJuOh/claude-code-zero.git /tmp/claude-code-zero
mkdir -p .claude/skills
cp -r /tmp/claude-code-zero/plugins/toolbox/skills/fetch-sitemap .claude/skills/fetch-sitemap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fetch Sitemap 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 Fetch Sitemap 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 Fetch Sitemap 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.

Fetch Sitemap URLs

Extract URLs from an XML sitemap with optional regex filtering.

Arguments

  • $0: URL (required, must start with http:// or https://)
    • If the URL ends with .xml, use it directly as the sitemap URL (backward compatible)
    • Otherwise, run the auto-discovery logic below
  • $1: an extended regex pattern for filtering (optional)

If $0 is empty, display the usage below and stop:

Usage: /fetch-sitemap <url> [pattern]

Examples:
  /fetch-sitemap https://kotlinlang.org/docs
  /fetch-sitemap https://example.com/sitemap.xml
  /fetch-sitemap https://example.com docs
  /fetch-sitemap https://example.com/sitemap.xml 'skills|hooks'

If $0 does not start with http:// or https://, inform the user that a valid URL is required and stop.

Sitemap Auto-Discovery

When the URL does not end with .xml, automatically discover the sitemap by probing the following locations one at a time, stopping as soon as one produces output (do NOT run probes in parallel):

Probes 1–2 — fetch and extract in a single curl:

  1. {url}/sitemap.xml — path-specific (e.g., https://kotlinlang.org/docs/sitemap.xml)
  2. {origin}/sitemap.xml — site root (e.g., https://kotlinlang.org/sitemap.xml), where {origin} is the scheme + host of the URL
bash
curl -sfL --compressed --connect-timeout 5 --max-time 10 <probe-url> | grep -oE '<loc>[^<]+</loc>' | sed 's/<loc>//;s/<\/loc>//'

If the output is non-empty, the sitemap is found and the URLs are already extracted — skip the Extraction section entirely and go straight to Output. If empty, try the next probe.

Probe 3 — robots.txt (different format, two-step):

  1. {origin}/robots.txt — fetch and parse for Sitemap: lines, use the first match
bash
curl -sfL --compressed --connect-timeout 5 --max-time 10 <origin>/robots.txt

If a Sitemap: line is found, use that URL and proceed to the Extraction section.

If none of the probes succeed, report an error to the user and stop:

Could not auto-discover a sitemap for <url>. Try providing the direct sitemap XML URL instead.

When a sitemap is discovered (not passed directly), print which URL was found before proceeding:

Sitemap found: <discovered-url>

Extraction

If URLs were already extracted during auto-discovery, skip this entire section. If a filter pattern ($1) is provided, apply it to the already-extracted URLs in memory — do not re-fetch.

Run the following bash command to extract URLs from the sitemap:

bash
curl -sfL --compressed --connect-timeout 10 --max-time 30 <sitemap-url> | grep -oE '<loc>[^<]+</loc>' | sed 's/<loc>//;s/<\/loc>//'

If a pattern is provided, pipe the result through grep -E '<pattern>' to filter:

bash
curl -sfL --compressed --connect-timeout 10 --max-time 30 <sitemap-url> | grep -oE '<loc>[^<]+</loc>' | sed 's/<loc>//;s/<\/loc>//' | grep -E '<pattern>'

If the curl command fails (non-zero exit code), report the error clearly to the user (e.g., "Failed to fetch sitemap: connection timed out" or "Failed to fetch sitemap: HTTP 404").

Output

  1. Count the extracted URLs to determine the total count
    • Report: "Found 47 URLs" or "Found 12 URLs matching pattern en"
  2. Display the URL list in a fenced code block. If there are more than 100 URLs, show only the first 50 and note the total count
  3. If no URLs matched, inform the user that no results were found
  4. If curl failed, report the error clearly (do not silently show "no results")

Never re-fetch: All URLs have already been fetched. If the user later asks to save the results to a file, use the Write tool with the already-displayed output. Never run curl again for the same sitemap.

Frequently asked questions

What does the Fetch Sitemap AI skill do?

Extract URLs from an XML sitemap with optional regex filtering

Why use Fetch Sitemap on TypingMind?

Because you install it once and use it with any model. Fetch Sitemap 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 Fetch Sitemap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeeJuOh/claude-code-zero/tree/main/plugins/toolbox/skills/fetch-sitemap. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fetch Sitemap?

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 Fetch Sitemap?

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

Is the Fetch Sitemap AI skill free?

Yes. It is published on GitHub by LeeJuOh 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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