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Z Md Excel

Community
tjxj
z-md-excel

Extract all Markdown tables from a .md file and export to Excel (.xlsx). Use this skill when the user wants to: convert Markdown tables to Excel, extract tables from .md files, export MD table data to spreadsheet, batch convert multiple tables from one Markdown file. Supports multiple tables, GFM alignment markers, inline Markdown stripping. Each table becomes a separate sheet in the output Excel file.

Overview

Publishertjxj
Repositoryz-skills
Skill namez-md-excel
Stars
548
Forks
102
Bundled files
1
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 tjxj on GitHub. Read the source before you install it.

Installation

Install the Z Md Excel 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/tjxj/z-skills/tree/main/z-md-excel
  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/tjxj/z-skills.git /tmp/z-skills
mkdir -p .claude/skills
cp -r /tmp/z-skills/z-md-excel .claude/skills/z-md-excel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Z Md Excel 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 Z Md Excel 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 Z Md Excel 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.

z-md-excel

Extract all Markdown tables from a .md file and save them to a formatted Excel .xlsx file.

When to Use

Trigger this skill when the user asks to:

  • Convert/extract Markdown tables to Excel
  • Export tables from a .md file to .xlsx
  • Batch extract multiple tables from one Markdown file
  • Parse Markdown table data into a spreadsheet

Requirements

  • Python 3.7+
  • openpyxl: pip install openpyxl

Usage

Command Line

bash
# Basic usage (output defaults to <input_name>.xlsx)
python scripts/md2xlsx.py input.md

# Specify output file
python scripts/md2xlsx.py input.md output.xlsx

As Agent (recommended workflow)

  1. Identify the Markdown file the user wants to extract tables from.
  2. Ensure openpyxl is installed: pip install openpyxl
  3. Run the script:
    bash
    python /path/to/z-md-excel/scripts/md2xlsx.py <input.md> [output.xlsx]
  4. Report results: The script prints the number of tables found and their dimensions.

Programmatic (inline Python)

python
import sys
sys.path.insert(0, '/path/to/z-md-excel/scripts')
from md2xlsx import extract_tables, write_xlsx

tables = extract_tables('input.md')
write_xlsx(tables, 'output.xlsx')

Output Format

  • Each table becomes a separate sheet named Table_1, Table_2, etc.
  • Header row: Bold white text on blue background, centered
  • Data rows: Regular font, auto-fitted column widths
  • Alignment: Preserved from Markdown GFM markers (:--- left, :---: center, ---: right)
  • Frozen pane: Top row frozen for easy scrolling
  • Inline Markdown stripped: Bold, italic, code, links, images are converted to plain text

How It Works

  1. Reads the Markdown file line by line
  2. Detects table blocks (consecutive lines containing |)
  3. Skips lines inside code blocks (``` fenced blocks)
  4. Requires a GFM separator row (|---|---|) to validate a table
  5. Strips inline Markdown formatting from cell content
  6. Writes all tables to a single Excel file

Limitations

  • Only supports GFM-style pipe tables (| col1 | col2 |)
  • Does not support HTML <table> elements
  • Does not preserve complex Markdown formatting (converts to plain text)
  • Nested tables are not supported

File Structure

z-md-excel/
├── SKILL.md          # This file (Agent instructions)
├── README.md         # Human-readable documentation
└── scripts/
    └── md2xlsx.py    # Core extraction script

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 Z Md Excel AI skill do?

Extract all Markdown tables from a .md file and export to Excel (.xlsx). Use this skill when the user wants to: convert Markdown tables to Excel, extract tables from .md files, export MD table data to spreadsheet, batch convert multiple tables from one Markdown file. Supports multiple tables, GFM alignment markers, inline Markdown stripping. Each table becomes a separate sheet in the output Excel file.

Why use Z Md Excel on TypingMind?

Because you install it once and use it with any model. Z Md Excel 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 Z Md Excel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tjxj/z-skills/tree/main/z-md-excel. 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 Z Md Excel?

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 Z Md Excel?

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

Is the Z Md Excel AI skill free?

It is published on GitHub by tjxj. 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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