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Mk 072

Community
backtrue
mk-072

Breaking down traffic, lead, and order acquisition costs. Use when the task requires numerators, denominators, and calculations for the three costs. Apply this method to the specified inputs and verify the deliverable

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-072
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 072 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-072
  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-072 .claude/skills/mk-072
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 072 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 072 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 072 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-072 | Breaking down traffic, lead, and order acquisition costs

For a regular chat, upload packs/mk-072.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Numerators, denominators, and calculations for the three costs

Recalculability does not mean the data is complete; break-even points and cost ceilings apply only under the stated assumptions

Required inputs

Provide: Spend by source for a common period, corresponding valid traffic, leads and orders, and new/existing customer definitions

For method questions, provide the formula, variables and an example directly; for a calculation, ask only for missing operands

Method

  1. Separate three costs: traffic acquisition cost, lead acquisition cost, and order acquisition cost
  2. Further split traffic and orders into new/existing customers and organic/paid sources so different acquisition methods are not combined into one cost
  3. Use the same period and corresponding denominator for each cost; do not force a calculation with zero leads or orders

Calculations and interpretation

Traffic cost = corresponding spend ÷ corresponding traffic; lead cost = corresponding spend ÷ valid leads; order cost = corresponding spend ÷ valid orders

Retain original values, units, periods, and substituted formulas. The formula is not an unconditional guarantee of results

Define gross profit, contribution margin, cost denominators, and periods explicitly; do not copy classroom example numbers as universal thresholds

Required output fields

OrderFieldHow to complete
1Input variableUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
2ValueUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
3Unit and definitionUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
4SourceUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
5FormulaUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
6ResultUse 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-072-C05 | A required denominator is zero

Expected: Report that the formula is undefined; do not output a zero cost or an infinite target

MK-072-C06 | Only some costs are supplied

Expected: Retain the partial result and excluded items; do not call it complete profitability

Method sources

Source file: 營業額提升主要關鍵(三)從數據來提升 ROI 的策略

Location: Three costs

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/1lwpCxF1cMgaK7Gnvngw8NzytDLYD8MK-p91g8dwSytU/edit

English translation of source excerpt:

Three costs

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 072 AI skill do?

Breaking down traffic, lead, and order acquisition costs. Use when the task requires numerators, denominators, and calculations for the three costs. Apply this method to the specified inputs and verify the deliverable

Why use Mk 072 on TypingMind?

Because you install it once and use it with any model. Mk 072 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 072 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-072. 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 072?

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 072?

As many as you like. As long as a model supports skills, you can use Mk 072 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 072 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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