Mk 032

Community

backtrue

mk-032

Need-trigger event ideation. Use when the task requires a table of specific, observable candidate events. Apply this method to the specified inputs and verify the deliverable

Overview

Publisher	backtrue
Repository	`thinkwithblack-skill`
Skill name	`mk-032`
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 032 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-032
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-032 .claude/skills/mk-032

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

Use it in TypingMind

Enable Mk 032 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 032 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 032 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-032 | Need-trigger event ideation

For a regular chat, upload packs/mk-032.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: A table of specific, observable candidate events

Hypotheses are useful but do not establish demographics or market share; do not fabricate interview content or customer experiences

Required inputs

Provide: The product or service, customers' own words, existing pages, and actions the company can support

Method

Identify only observable events that cause customers to start looking for a solution, such as something they see, hear, or are asked to handle
First ask what the person was doing before the event, then infer the most likely moment they begin searching
AI may organize candidate events, but do not mix in personality traits or directly substitute purchase reasons

Calculations and interpretation

Search phrases and paths are planning hypotheses; check them against real search terms and evidence of how pages support the need

Required output fields

Order	Field	How to complete
1	Candidate event	Use the supplied source, calculation, or explicit unknown
2	State before the event	Use the supplied source, calculation, or explicit unknown
3	Observable evidence	Use the supplied source, calculation, or explicit unknown
4	Timing and search starting point	Use the supplied source, calculation, or explicit unknown
5	Potential problem	Use the supplied source, calculation, or explicit unknown
6	Counterexamples and unknowns	Use the supplied source, calculation, or explicit unknown
7	Validation data	Use the supplied source, calculation, or explicit unknown

Verification cases

MK-032-A1 | A customer was told to move next week

Expected: Record the observable notice and search timing, not an innate comparison-seeking personality

MK-032-A2 | Only “values quality” is supplied

Expected: Treat it as a preference clue; request an observable trigger rather than presenting an event

Method sources

Source file: Google Ads 第一堂｜看懂需求，才知道廣告怎麼接

Location: Trigger event

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/15ZOg0pX_xikpdA3FwGEoCSVgWortvCnxSe4hz4ugizg/edit

English translation of source excerpt:

Identify need-trigger events

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.json9 KB

Frequently asked questions

What does the Mk 032 AI skill do?

Need-trigger event ideation. Use when the task requires a table of specific, observable candidate events. Apply this method to the specified inputs and verify the deliverable

Why use Mk 032 on TypingMind?

Because you install it once and use it with any model. Mk 032 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 032 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-032. 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 032?

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 032?

As many as you like. As long as a model supports skills, you can use Mk 032 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 032 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-032 | Need-trigger event ideation

Purpose

Required inputs

Method

Calculations and interpretation

Required output fields

Verification cases

Method sources

Bundled files

Frequently asked questions

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