Web Fetch logo

Web Fetch

Organization
aiskillstore
web-fetch

Fetches web content as clean markdown by preferring markdown-native responses and falling back to selector-based HTML extraction. Use for documentation, articles, and reference pages at http/https URLs.

Overview

Publisheraiskillstore
Repositorymarketplace
Skill nameweb-fetch
Stars
427
Forks
45
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Web Fetch 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/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xbigboss/web-fetch .claude/skills/web-fetch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web Fetch 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 Web Fetch 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 Web Fetch 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.

Web Content Fetching

Fetch web content in this order:

  1. Prefer markdown-native endpoints (content-type: text/markdown)
  2. Use selector-based HTML extraction for known sites
  3. Use the bundled Bun fallback script when selectors fail

Prerequisites

Verify required tools before extracting:

bash
command -v curl >/dev/null || echo "curl is required"
command -v html2markdown >/dev/null || echo "html2markdown is required for HTML extraction"
command -v bun >/dev/null || echo "bun is required for fetch.ts fallback"

Install Bun dependencies for the bundled script:

bash
cd ~/.claude/skills/web-fetch && bun install

Default Workflow

Use this as the default flow for any URL:

bash
URL="<url>"
CONTENT_TYPE="$(curl -sIL "$URL" | awk -F': ' 'tolower($1)=="content-type"{print tolower($2)}' | tr -d '\r' | tail -1)"

if echo "$CONTENT_TYPE" | grep -q "markdown"; then
  curl -sL "$URL"
else
  curl -sL "$URL" \
    | html2markdown \
        --include-selector "article,main,[role=main]" \
        --exclude-selector "nav,header,footer,script,style"
fi

Known Site Selectors

SiteInclude SelectorExclude Selector
platform.claude.com#content-container-
docs.anthropic.com#content-container-
developer.mozilla.orgarticle-
github.com (docs)articlenav,.sidebar
Genericarticle,main,[role=main]nav,header,footer,script,style

Example:

bash
curl -sL "<url>" \
  | html2markdown \
      --include-selector "#content-container" \
      --exclude-selector "nav,header,footer"

Finding the Right Selector

When a site isn't in the patterns list:

bash
# Check what content containers exist
curl -s "<url>" | grep -o '<article[^>]*>\|<main[^>]*>\|id="[^"]*content[^"]*"' | head -10

# Test a selector
curl -sL "<url>" | html2markdown --include-selector "<selector>" | head -30

# Check line count
curl -sL "<url>" | html2markdown --include-selector "<selector>" | wc -l

Universal Fallback Script

When selectors produce poor output, run the bundled parser:

bash
bun ~/.claude/skills/web-fetch/fetch.ts "<url>"

If already in the skill directory:

bash
bun fetch.ts "<url>"

Options Reference

bash
--include-selector "CSS"  # Keep only matching elements
--exclude-selector "CSS"  # Remove matching elements
--domain "https://..."    # Convert relative links to absolute

Troubleshooting

Empty output with selectors: The page might be markdown-native. Check headers first:

bash
curl -sIL "<url>" | grep -i '^content-type:'

Wrong content selected: The site may have multiple article/main regions:

bash
curl -s "<url>" | grep -o '<article[^>]*>'

html2markdown not found: Install it, then retry selector-based extraction.

bun or script deps missing: Run cd ~/.claude/skills/web-fetch && bun install.

Missing code blocks: Check if the site uses non-standard code formatting.

Client-rendered content: If HTML only has "Loading..." placeholders, the content is JS-rendered. Neither curl nor the Bun script can extract it; use browser-based tools.

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 Web Fetch AI skill do?

Fetches web content as clean markdown by preferring markdown-native responses and falling back to selector-based HTML extraction. Use for documentation, articles, and reference pages at http/https URLs.

Why use Web Fetch on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiskillstore/marketplace/tree/main/skills/0xbigboss/web-fetch. 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 Web Fetch?

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 Web Fetch?

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

Is the Web Fetch AI skill free?

It is published on GitHub by aiskillstore. 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.

View all

Set up your own AI workspace now

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