Mk 024

Community

backtrue

mk-024

Time-based scenario angles. Use when the task requires a scenario question bank for usage times or seasons. Apply this method to the specified inputs and verify the deliverable

Overview

Publisher	backtrue
Repository	`thinkwithblack-skill`
Skill name	`mk-024`
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 024 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-024
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-024 .claude/skills/mk-024

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

Use it in TypingMind

Enable Mk 024 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 024 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 024 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-024 | Time-based scenario angles

For a regular chat, upload packs/mk-024.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: A scenario question bank for usage times or seasons

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

Required inputs

Provide: Product facts, existing customer data, surveys, or customer-service records

Method

List time/season contexts from actual usage records; mark unobserved contexts for testing
Write neutral questions for each context, such as when the respondent last encountered the need and what they were doing; ask about the event before choice or price
Specify recall period, single/multiple/open response and not-applicable options; derive options from evidence rather than assuming holidays cause purchases
Ask time-dependent willingness to pay separately with the same product and conditions; skip contexts never experienced

Calculations and interpretation

Treat customer roles and motivations as hypotheses initially; do not establish someone's actual identity from a single purchase behavior

Required output fields

Order	Field	How to complete
1	Time or seasonal context	Use the supplied source, calculation, or explicit unknown
2	Actual question	Use the supplied source, calculation, or explicit unknown
3	Response format and options	Use the supplied source, calculation, or explicit unknown
4	Respondent and recall period	Use the supplied source, calculation, or explicit unknown
5	Distinction between need and price questions	Use the supplied source, calculation, or explicit unknown
6	Sources and hypotheses	Use the supplied source, calculation, or explicit unknown
7	Skip or follow-up conditions	Use the supplied source, calculation, or explicit unknown

Verification cases

MK-024-A1 | Only summer usage records

Expected: Draft summer-context questions; leave other seasons untested

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: Time

Source basis: extracted from course materials

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

English translation of source excerpt:

Time

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 024 AI skill do?

Time-based scenario angles. Use when the task requires a scenario question bank for usage times or seasons. Apply this method to the specified inputs and verify the deliverable

Why use Mk 024 on TypingMind?

Because you install it once and use it with any model. Mk 024 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 024 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-024. 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 024?

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 024?

As many as you like. As long as a model supports skills, you can use Mk 024 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 024 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.

View all

Excalidraw

NousResearch

OrganizationPopular

Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).

Simple English

Rewrite text to ASD-STE100 Simplified Technical English.

Watchers

Poll RSS, JSON APIs, and GitHub with watermark dedup.

Karpathy Guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

MK-024 | Time-based scenario angles

Purpose

Required inputs

Method

Calculations and interpretation

Required output fields

Verification cases

Method sources

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now