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Mk 079

Community
backtrue
mk-079

Trial-product design. Use when the task requires specification proposals that lower the barrier to a first trial. Apply this method to the specified inputs and verify the deliverable

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-079
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 079 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-079
  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-079 .claude/skills/mk-079
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 079 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 079 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 079 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-079 | Trial-product design

For a regular chat, upload packs/mk-079.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Specification proposals that lower the barrier to a first trial

Products occurring in the same transaction do not establish psychological motives; a product pairing does not automatically prove cross-selling effectiveness

Required inputs

Available raw records: the actual trial task, product instructions, quantities and usage, customer concerns, costs, and subsequent products

Method Steps

  1. Inspect what can actually be experienced, the quantity and time needed, product instructions, customer concerns, and costs. A small package must support the intended experience; low price cannot substitute for an adequate trial
  2. If customers fear wasting a full size and a small size delivers the experience, propose a small package. Operational uncertainty calls for instruction or demonstration. A longer observation requirement calls for sufficient quantity and a suitable review time
  3. Subtract packaging, shipping, payment, product, and offer costs. A loss-making first order is a candidate only within a provided test allowance, without imagined repeat purchases covering the gap
  4. Connect the trial to a full-size product or appropriate next step for the same need, timed by actual use or cycle. Without usage data, deliver conditional paths and request product-use information; the course's 10–14 days is not a universal schedule
  5. Delay repeat-purchase messaging or repair the offer when the trial is unfinished or insufficient. A completed trial with an unresolved problem calls for solving that problem, not automatically discounting again

Calculation and Interpretation

Available trial uses = usable quantity / actual quantity per use. Unknown usage remains unknown. Deliver the experience, adequacy condition, first-order contribution, next product, and information that changes timing

Check example (hypothetical): a 10 mL trial at 5 mL per use supports two uses, but the task needs three; increase to at least 15 mL. If the task changes to a scent trial requiring one use, 10 mL suffices and the quantity-increase requirement is withdrawn

Decision rules authored by ThinkWithBlack, 2026-10-14; original course sources remain below

Required output fields

OrderFieldHow to complete
1GoalUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
2AudienceUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
3Plan/taskUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
4Evidence and assumptionsUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
5PrerequisitesUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
6ResourcesUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
7Deliverables and acceptanceUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
8Open issuesUse source evidence, an intermediate method result, or an explicit unknown; do not invent information

Verification cases

MK-079-C05 | The budget is unknown, but materials can be organized first

Expected: Deliver the parts of the plan that do not depend on the budget first; do not require a complete questionnaire

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: Product

Source basis: extracted from course materials

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

English translation of source excerpt:

Product/product-line planning for depth and breadth

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 079 AI skill do?

Trial-product design. Use when the task requires specification proposals that lower the barrier to a first trial. Apply this method to the specified inputs and verify the deliverable

Why use Mk 079 on TypingMind?

Because you install it once and use it with any model. Mk 079 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 079 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-079. 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 079?

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 079?

As many as you like. As long as a model supports skills, you can use Mk 079 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 079 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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