Mk 012

Community

backtrue

mk-012

One-sentence brand positioning. Use when the task requires one sentence stating who it serves, what it solves, and how it differs. Apply this method to the specified inputs and verify the deliverable

Overview

Publisher	backtrue
Repository	`thinkwithblack-skill`
Skill name	`mk-012`
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 012 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-012
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-012 .claude/skills/mk-012

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

Use it in TypingMind

Enable Mk 012 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 012 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 012 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-012 | One-sentence brand positioning

For a regular chat, upload packs/mk-012.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: One sentence stating who it serves, what it solves, and how it differs

Separate features, benefits, and evidence; do not claim exclusivity without competitor data

Required inputs

Provide: Product specifications, competitor differences, verifiable evidence, and intended customers

Method

At minimum, one-sentence positioning should let an outside reader understand who the brand is, what it does, whom it serves, and which topic it relates to
Go beyond an abstract slogan; include an identifiable category/service and its intended audience
Use the sentence as the core of consistency across platforms, adapting its length to each platform without changing the positioning

Calculations and interpretation

Use only verifiable product differences. Mark claims lacking evidence as needing support; do not generate fabricated evidence

Required output fields

Order	Field	How to complete
1	Brand and category	Use the supplied source, calculation, or explicit unknown
2	Audience served	Use the supplied source, calculation, or explicit unknown
3	Problem addressed	Use the supplied source, calculation, or explicit unknown
4	Difference and evidence	Use the supplied source, calculation, or explicit unknown
5	Complete positioning sentence	Use the supplied source, calculation, or explicit unknown
6	Conditions and unknowns	Use the supplied source, calculation, or explicit unknown

Verification cases

MK-012-C05 | The specification is true, but no industry comparison data is available

Expected: Functional benefits may be proposed; do not claim the product is unique or number one

MK-012-C06 | The information consists only of technical terms

Expected: Explain their role under the known usage conditions first; do not invent unverified effects

Method sources

Source file: SEO105_Off-page_GEO

Location: One sentence

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/1R3Q7M_pdyW1GbjDczTKK5ryfs5LrxGlNR5rjHpDjJUI/edit

English translation of source excerpt:

One-sentence description

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.json11 KB

Frequently asked questions

What does the Mk 012 AI skill do?

One-sentence brand positioning. Use when the task requires one sentence stating who it serves, what it solves, and how it differs. Apply this method to the specified inputs and verify the deliverable

Why use Mk 012 on TypingMind?

Because you install it once and use it with any model. Mk 012 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 012 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-012. 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 012?

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 012?

As many as you like. As long as a model supports skills, you can use Mk 012 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 012 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-012 | One-sentence brand positioning

Purpose

Required inputs

Method

Calculations and interpretation

Required output fields

Verification cases

Method sources

Bundled files

Frequently asked questions

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