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Markdown New

Community
DenisSergeevitch
markdown-new

Convert public web pages into clean Markdown with markdown.new for AI workflows. Use when tasks require URL-to-Markdown conversion for summarization, RAG ingestion, extraction, archiving, or token reduction, including selecting conversion method (auto/ai/browser), enabling image retention, and handling rate limits or conversion failures.

Overview

PublisherDenisSergeevitch
Repositorymarkdown-new-skill
Skill namemarkdown-new
Stars
57
Forks
5
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 DenisSergeevitch on GitHub. Read the source before you install it.

Installation

Install the Markdown New 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/DenisSergeevitch/markdown-new-skill/tree/main/markdown-new
  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/DenisSergeevitch/markdown-new-skill.git /tmp/markdown-new-skill
mkdir -p .claude/skills
cp -r /tmp/markdown-new-skill/markdown-new .claude/skills/markdown-new
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markdown New 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 Markdown New 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 Markdown New 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.

Markdown.new

Use this skill to convert public URLs into LLM-ready Markdown via markdown.new.

Path Resolution (Critical)

  • Resolve relative paths like scripts/... and references/... from the skill directory, not workspace root.
  • If current directory is unknown, use an absolute script path.
bash
python3 ~/.codex/skills/markdown-new/scripts/markdown_new_fetch.py 'https://example.com'
bash
cd ~/.codex/skills/markdown-new
python3 scripts/markdown_new_fetch.py 'https://example.com'

Avoid this pattern from an arbitrary workspace root:

bash
python3 scripts/markdown_new_fetch.py 'https://example.com'

Workflow

  1. Validate the input URL is public http or https.
  2. Run scripts/markdown_new_fetch.py with --method auto first.
  3. Re-run with --method browser if output misses JS-rendered content.
  4. Enable --retain-images only when image links are required.
  5. Capture response metadata (x-markdown-tokens, x-rate-limit-remaining, and JSON metadata when present) for downstream planning.

Quick Start

Commands below assume current directory is the skill root (~/.codex/skills/markdown-new).

bash
python3 scripts/markdown_new_fetch.py 'https://example.com' > page.md
bash
python3 scripts/markdown_new_fetch.py 'https://example.com' --method browser --retain-images --output page.md
bash
python3 scripts/markdown_new_fetch.py 'https://example.com' --deliver-md

Method Selection

  • auto: default. Let markdown.new use its fastest successful pipeline.
  • ai: force Workers AI HTML-to-Markdown conversion.
  • browser: force headless browser rendering for JS-heavy pages.

Use auto first, then retry with browser only when needed.

Delivery Mode

  • Use --deliver-md to force file output in .md format.
  • In delivery mode, content is wrapped as:
    • <url>
    • ...markdown...
    • </url>
  • If --output is omitted, the script auto-generates a filename from the URL.

API Modes

  • Prefix mode:
    • https://markdown.new/https://example.com?method=browser&retain_images=true
  • POST mode:
    • POST https://markdown.new/
    • JSON body: {"url":"https://example.com","method":"auto","retain_images":false}

Prefer POST mode for automation and explicit parameters.

Limits And Safety

  • Treat 429 as rate limiting (documented limit: 500 requests/day/IP).
  • Convert only publicly accessible pages.
  • Respect robots.txt, terms of service, and copyright constraints.
  • Do not treat markdown.new output as guaranteed complete for every page; verify critical extractions.

References

  • references/markdown-new-api.md

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 Markdown New AI skill do?

Convert public web pages into clean Markdown with markdown.new for AI workflows. Use when tasks require URL-to-Markdown conversion for summarization, RAG ingestion, extraction, archiving, or token reduction, including selecting conversion method (auto/ai/browser), enabling image retention, and handling rate limits or conversion failures.

Why use Markdown New on TypingMind?

Because you install it once and use it with any model. Markdown New 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 Markdown New in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DenisSergeevitch/markdown-new-skill/tree/main/markdown-new. 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 Markdown New?

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 Markdown New?

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

Is the Markdown New AI skill free?

It is published on GitHub by DenisSergeevitch. 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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