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Mk 001

Community
backtrue
mk-001

Extract citable product facts and missing information from product pages, specifications and instructions. Use for “What can we say based on these materials?” Delivers a sourced fact table, focusing on facts before choosing selling points

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-001
Stars
249
Forks
24
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Mk 001 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/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-001
  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/backtrue/thinkwithblack-skill.git /tmp/thinkwithblack-skill
mkdir -p .claude/skills
cp -r /tmp/thinkwithblack-skill/en/skills/mk-001 .claude/skills/mk-001
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 001 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 Mk 001 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 Mk 001 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.

MK-001 | Product fact inventory

For a regular chat, upload packs/mk-001.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: A citable product fact table and missing-input list

Having a product page does not mean its effects have been independently verified; identify brand statements as brand-supplied claims

Required inputs

Provide: Product specifications, competitor differences, verifiable evidence, and intended customers

Method

  1. First make the product itself visible to the AI: prioritize product-page content. If the tool cannot read the webpage directly, follow the course material by using product images or a product-page PDF
  2. Confirm that the AI has correctly identified what the product is before proceeding to USP and Persona work. Correct misidentification first instead of immediately generating copy
  3. Separate product facts from the brand's subjective views. The brand may add features it considers important, but do not treat features that were not supplied as facts

Calculations and interpretation

Use only verifiable product differences. Mark claims lacking evidence as needing support; do not generate fabricated evidence

Required output fields

OrderFieldHow to complete
1ItemUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
2Original statementUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
3Applicable product/conditionsUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
4Source locationUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
5Evidence statusUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
6Wording usable in this taskUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
7Missing inputsUse source evidence, an intermediate method result, or an explicit unknown; do not invent information

Verification cases

MK-001-C05 | The source lists both a regular price and a promotional price

Expected: Preserve each price's period and conditions; do not arbitrarily treat one as the permanent selling price

MK-001-C06 | The only supplied claim is "best in the industry"

Expected: List it as an unverified claim, not an objective ranking

Method sources

Source file: Meta廣告學程 101 讓AI幫你投出廣告

Location: USP

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/19GaScd4rGE8V4iqPfemeK8-QAwbSIeOKGpB5OwwTMlo/edit

English translation of source excerpt:

Help identify the product's USP (Unique Selling Proposition). This is also your first opportunity to communicate with the AI. It is good if it identifies the point, but if it does not get what you mean, make sure to tell it your thinking

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 Mk 001 AI skill do?

Extract citable product facts and missing information from product pages, specifications and instructions. Use for “What can we say based on these materials?” Delivers a sourced fact table, focusing on facts before choosing selling points

Why use Mk 001 on TypingMind?

Because you install it once and use it with any model. Mk 001 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 Mk 001 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-001. 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 Mk 001?

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 Mk 001?

As many as you like. As long as a model supports skills, you can use Mk 001 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 001 AI skill free?

Yes. It is published on GitHub by backtrue 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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