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Mk 078

Community
backtrue
mk-078

Selecting traffic-driving products. Use when the task requires product candidates suitable for acquiring new customers. Apply this method to the specified inputs and verify the deliverable

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-078
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 078 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-078
  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-078 .claude/skills/mk-078
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 078 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 078 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 078 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-078 | Selecting traffic-driving products

For a regular chat, upload packs/mk-078.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Product candidates suitable for acquiring new customers

Products occurring in the same transaction do not establish psychological motives; a product pairing does not automatically prove cross-selling effectiveness

Required inputs

Available raw records: SKU-level first-buyer records, first and later orders, refunds, product/fulfillment/acquisition costs, and inventory

Method Steps

  1. For each SKU, verify first-purchase identity, first-order net receipts and variable costs, acquisition expense, supply, and later orders from the same buyers. Separate new visitors, existing members, and genuine first buyers
  2. A first order meeting the brand's objective after acquisition cost, with demand and inventory, supports an entry-product candidate. A loss-making first order must fit a provided test loss allowance, with recovery evidence or a hypothesis to test
  3. Compare complete first-buyer cohorts over equal horizons, retaining nonrepeat buyers in the denominator. Buyers not yet reaching the usage cycle are not one-time bargain shoppers. Mature cohorts without a subsequent need lower the product's priority as a long-term entry point
  4. Cheap clicks or popular sales do not establish new-buyer acquisition. Request purchase-history mapping; without it, report partial first-order economics and unknown identity
  5. Recalculate recovery after repeat purchases, refunds, or cost changes. Contract or stop the loss-making entry offer when its recovery condition fails, and consider an affordable first-order alternative

Calculation and Interpretation

Contribution per original first buyer = cohort net order revenue less product, variable fulfillment, and acquisition costs over the specified period / original first buyers. Do not deduct discounts twice or rank unequal horizons directly

Check example (hypothetical): a first-order loss of 100 per person and mature full-cohort follow-up contribution of 150 yield 50, supporting a test within the allowance. Refunds reduce follow-up contribution to 60, yielding −40 and withdrawing the recovery finding

Decision rules authored by ThinkWithBlack, 2026-10-14; original course sources remain below

Required output fields

OrderFieldHow to complete
1Product/roleUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
2Need cluesUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
3Sales and gross marginUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
4Pairing or follow-on relationshipUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
5Supply constraintsUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
6Candidate approachUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
7ReasonUse source evidence, an intermediate method result, or an explicit unknown; do not invent information

Method sources

Source file: 營業額提升主要關鍵(一)縱深橫寬產品/產品線企劃策略

Location: Product

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/1lIddPByRFVZeT-TR3CSaL_lEKkpJRloL6JQBLg1fO50/edit

English translation of source excerpt:

Product/product-line planning for depth and breadth

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 078 AI skill do?

Selecting traffic-driving products. Use when the task requires product candidates suitable for acquiring new customers. Apply this method to the specified inputs and verify the deliverable

Why use Mk 078 on TypingMind?

Because you install it once and use it with any model. Mk 078 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 078 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-078. 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 078?

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 078?

As many as you like. As long as a model supports skills, you can use Mk 078 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 078 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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