Mk 055

Community

backtrue

mk-055

Design survey questions that distinguish reasons for choosing products. Use for post-purchase e-commerce customer insights, question recommendations, and research into pain points, needs, and product features. Deliver an evidence-based question draft first; derive specific options from real products and situations

Overview

Publisher	backtrue
Repository	`thinkwithblack-skill`
Skill name	`mk-055`
Stars	249
Forks	24
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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 055 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-055
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.

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-055 .claude/skills/mk-055

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 055 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 055 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 055 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-055 | Product-preference question design

For a regular chat, upload packs/mk-055.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Questions that distinguish reasons for choosing a product

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

Required inputs

Provide the decision the research supports, actual product facts, target respondents, and questioning context. Include existing customer wording when available; prior responses are not a prerequisite for designing questions

Method

Break the research decision into purchase reasons, barriers, and usage needs to distinguish; give each question one purpose
Write neutral questions from actual product facts and context. Ask about choices or experience before reasons, with one issue per question; do not present brand assumptions as established needs
Specify single-choice, multiple-choice, or open responses. Resolve overlapping options, include other/not-applicable when useful, and base skip logic on actual experience
Deliver questions with option sources, then check an applicable and a non-applicable scenario for answerability. Use only the user's specified arrangements for lead collection or incentives

Calculations and interpretation

Questions should distinguish answers that would change the decision. Avoid leading wording, double-barreled questions, and assuming a purchase. Before collection, deliver questions and checks without inventing sample sizes, preference shares, or purchase conclusions

Required output fields

Order	Field	How to complete
1	Question ID/purpose	Use the supplied source, calculation, or explicit unknown
2	Question text	Use the supplied source, calculation, or explicit unknown
3	Options and sources	Use the supplied source, calculation, or explicit unknown
4	Response format	Use the supplied source, calculation, or explicit unknown
5	Respondent and timing	Use the supplied source, calculation, or explicit unknown
6	Skip logic and checks	Use the supplied source, calculation, or explicit unknown
7	Missing evidence	Use the supplied source, calculation, or explicit unknown

Verification cases

MK-055-A1 | Only product specifications are supplied for a post-purchase survey

Expected: Deliver draft questions, option sources, and response formats without requiring prior responses

MK-055-A2 | A question asks whether cheap and easy-to-use features caused liking

Expected: Separate the reasons or use a neutral open question instead of combining two claims

Method sources

Source file: 行銷策略實戰學程Day4-佈局獲利 × 節奏變現 × 轉單收割

Location: Survey

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/1dq3xqYVUnWvUCpzZKI91yDDOzvkyG0uHy3EOsOjtItA/edit

English translation of source excerpt:

Collect first-party data through surveys

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

assets/check-context.py15 KB
assets/context-contract.json12 KB

Frequently asked questions

What does the Mk 055 AI skill do?

Why use Mk 055 on TypingMind?

Because you install it once and use it with any model. Mk 055 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 055 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-055. 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 055?

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 055?

As many as you like. As long as a model supports skills, you can use Mk 055 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 055 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MK-055 | Product-preference question design

Purpose

Required inputs

Method

Calculations and interpretation

Required output fields

Verification cases

Method sources

Bundled files

Frequently asked questions

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