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Mk 054

Community
backtrue
mk-054

Ranking selling points from surveys. Use when the task requires a ranking of the features consumers value. Apply this method to the specified inputs and verify the deliverable

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-054
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 054 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-054
  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-054 .claude/skills/mk-054
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 054 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 054 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 054 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-054 | Ranking selling points from surveys

For a regular chat, upload packs/mk-054.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: A ranking of the features consumers value

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

Required inputs

Provide the target group, selling points/pain points/features and their sources, questions and single/multiple-choice rules, raw answers, and sampling source. With only a survey objective, deliver questions and an analysis template first

Method

  1. For a survey-based warm-up campaign, list the consumer pain points and product features the brand currently believes may matter and let respondents vote/select
  2. Rank pain points and selling points using actual survey results to prioritize sales-page section 2 and sections 4–6
  3. Survey results are preference evidence for this sample; do not treat the brand's original guesses as consumer findings

Calculations and interpretation

Deduplicate and count using each question's valid-response rules. Option share = valid respondents selecting the option / valid respondents for that question. Multiple-choice shares may total above 100%; keep single-choice, multiple-choice, and ranking questions separate. Retain ties, missing/excluded answers, sampling differences, and option order; sample preference is not a population share

Required output fields

OrderFieldHow to complete
1Question/option and sourceUse the supplied source, calculation, or explicit unknown
2Response formatUse the supplied source, calculation, or explicit unknown
3Valid respondent countUse the supplied source, calculation, or explicit unknown
4Selections/share/rankUse the supplied source, calculation, or explicit unknown
5Ties, missing and excluded answersUse the supplied source, calculation, or explicit unknown
6Supported content prioritiesUse the supplied source, calculation, or explicit unknown
7Sampling limits and next stepUse the supplied source, calculation, or explicit unknown

Verification cases

MK-054-A1 | Ten valid respondents select A seven times and B six times in a multiple-choice question

Expected: Report 70% and 60%; a 130% total is valid on this basis

MK-054-A2 | Options exist but responses do not

Expected: Deliver questions and calculation fields; leave observed rankings unfilled

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.

Frequently asked questions

What does the Mk 054 AI skill do?

Ranking selling points from surveys. Use when the task requires a ranking of the features consumers value. Apply this method to the specified inputs and verify the deliverable

Why use Mk 054 on TypingMind?

Because you install it once and use it with any model. Mk 054 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 054 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-054. 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 054?

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 054?

As many as you like. As long as a model supports skills, you can use Mk 054 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 054 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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