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Mk 041

Community
backtrue
mk-041

Check whether an ad's promise is answered by the page, including third-party blind-test or comparison articles, product pages, and member offers that disappear after registration. Identify supported gaps and the next action

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-041
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 041 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-041
  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-041 .claude/skills/mk-041
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 041 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 041 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 041 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-041 | Ad-to-page promise check

For a regular chat, upload packs/mk-041.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Breaks where the page does not answer the ad's promise

Task stages are analytical categories, not a claim that every customer follows the same path

Use this method when a third-party blind-test or comparison ad, article, and product page answer different questions, or when an advertised member offer cannot be found after registration. Compare the promise, evidence, and reasonable next action at each step. Add a page experiment or separate tracking design only when that work is explicitly requested

Required inputs

Provide: Actual search terms and sources, ad text and promises, landing page content or URL, supported products/services and action

Method

  1. Compare whether the search term, ad promise, and landing page's first screen/main content answer the same question
  2. A click only means someone arrived. Successful continuity means they immediately see an answer to their previous question and a reasonable next step
  3. If promises are inconsistent, fix the ad or page before increasing traffic

Calculations and interpretation

Search phrases and paths are planning hypotheses; check them against real search terms and evidence of how pages support the need

Required output fields

OrderFieldHow to complete
1Object/locationUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
2Conditions for adoptionUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
3Actual evidenceUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
4Check statusUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
5Difference/candidate causeUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
6Next taskUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
7LimitationsUse source evidence, an intermediate method result, or an explicit unknown; do not invent information

Verification cases

MK-041-C05 | The data meets the existing conditions

Expected: Report usable or maintain; do not manufacture a need for changes

MK-041-C06 | The tool returns an error

Expected: Report that the data was not obtained; do not classify it as a business anomaly

Method sources

Source file: Google Ads 第一堂|看懂需求,才知道廣告怎麼接

Location: Promise

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/15ZOg0pX_xikpdA3FwGEoCSVgWortvCnxSe4hz4ugizg/edit

English translation of source excerpt:

The page after the click continues the same promise

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 041 AI skill do?

Check whether an ad's promise is answered by the page, including third-party blind-test or comparison articles, product pages, and member offers that disappear after registration. Identify supported gaps and the next action

Why use Mk 041 on TypingMind?

Because you install it once and use it with any model. Mk 041 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 041 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-041. 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 041?

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 041?

As many as you like. As long as a model supports skills, you can use Mk 041 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 041 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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