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Mk 053

Community
backtrue
mk-053

Launch-price and early-bird-price questionnaire. Use when the task requires questions measuring acceptance of two offers. Apply this method to the specified inputs and verify the deliverable

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-053
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 053 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-053
  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-053 .claude/skills/mk-053
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 053 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 053 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 053 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-053 | Launch-price and early-bird-price questionnaire

For a regular chat, upload packs/mk-053.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Questions measuring acceptance of two offers

Without raw survey responses, produce only a questionnaire or analysis plan; do not fabricate answers

Required inputs

Provide: Respondents, actual product/bundle, launch and early-bird prices and conditions, scale preference; costs and brand floor for feasibility, not existing responses as a prerequisite for question design

Method

  1. A simplified price questionnaire first explains the product/bundle characteristics fully, then asks about acceptance of the planned launch price and early-bird launch price
  2. The course example first requires the planned launch price to maintain a higher contribution margin ratio and the early-bird price to retain a floor ratio, then tests acceptance
  3. The survey can use a 1–7-star acceptance scale, but actual prices and bundles must come from real cost planning

Calculations and interpretation

Check sampling, valid responses, and the ordering of price questions; willingness to pay is neither actual purchasing nor a profit guarantee

Required output fields

OrderFieldHow to complete
1Respondent and product/bundle introductionUse the supplied source, calculation, or explicit unknown
2Launch and early-bird prices and conditionsUse the supplied source, calculation, or explicit unknown
3Actual acceptance questionsUse the supplied source, calculation, or explicit unknown
4Scale and optionsUse the supplied source, calculation, or explicit unknown
5Presentation orderUse the supplied source, calculation, or explicit unknown
6Cost feasibility and unknownsUse the supplied source, calculation, or explicit unknown
7Survey and response collection methodUse the supplied source, calculation, or explicit unknown

Verification cases

MK-053-A1 | Two real prices/conditions but no responses

Expected: Draft acceptance questions and scales without requiring prior answers

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: PSM

Source basis: extracted from course materials

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

English translation of source excerpt:

Van Westendorp's PSM (Price Sensitivity Measurement) fundamentally asks about the target consumer's acceptance of a price. It asks not only whether a price is expensive or cheap, but also which price is "too cheap"

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 053 AI skill do?

Launch-price and early-bird-price questionnaire. Use when the task requires questions measuring acceptance of two offers. Apply this method to the specified inputs and verify the deliverable

Why use Mk 053 on TypingMind?

Because you install it once and use it with any model. Mk 053 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 053 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-053. 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 053?

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 053?

As many as you like. As long as a model supports skills, you can use Mk 053 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 053 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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