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Mk 063

Community
backtrue
mk-063

Converting an order target into traffic. Use when the task requires traffic required for the order target and conversion rate. Apply this method to the specified inputs and verify the deliverable

Overview

Publisherbacktrue
Repositorythinkwithblack-skill
Skill namemk-063
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 063 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-063
  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-063 .claude/skills/mk-063
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mk 063 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 063 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 063 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-063 | Converting an order target into traffic

For a regular chat, upload packs/mk-063.md. It includes the shared rules, this method, and required references

Purpose

This skill delivers: Traffic required for the order target and conversion rate

Working backward to resource requirements is not a forecast or optimal allocation; do not decide actual spending without an affordable ceiling

Required inputs

Provide: Required orders, comparable traffic-to-order conversion rate and number of planning days

For method questions, provide the formula, variables and an example directly; for a calculation, ask only for missing operands

Method

  1. Required traffic = required orders / comparable traffic-to-order conversion rate, which must be positive
  2. Daily target = period traffic / actual planning or operating days D; retain D when unknown, rather than fixing 30
  3. Check website, period and audience; label assumed conversion rates and scenario scope

Calculations and interpretation

Required traffic = required orders / comparable conversion rate; daily traffic = required traffic / actual days D, rounded up for whole units. Conversion rate and D must be positive; preserve symbols and gaps for unknown values

Required output fields

OrderFieldHow to complete
1Input variableUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
2ValueUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
3Unit and definitionUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
4SourceUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
5FormulaUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
6ResultUse source evidence, an intermediate method result, or an explicit unknown; do not invent information
7LimitationsUse source evidence, an intermediate method result, or an explicit unknown; do not invent information

Verification cases

MK-063-A1 | 28 orders, 10% conversion, 14-day campaign

Expected: Traffic 280, daily 20, not division by 30

Method sources

Source file: 行銷策略實戰學程Day2-以終為始x降低成本x提升指標

Location: Costs

Source basis: extracted from course materials

Source URL: https://docs.google.com/presentation/d/1NdxlcqAKMPHqGVS5jbjSYR_UgOJSA0fS65OnTtQLEHQ/edit

English translation of source excerpt:

Begin with the end in mind x reduce costs x improve metrics

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 063 AI skill do?

Converting an order target into traffic. Use when the task requires traffic required for the order target and conversion rate. Apply this method to the specified inputs and verify the deliverable

Why use Mk 063 on TypingMind?

Because you install it once and use it with any model. Mk 063 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 063 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/backtrue/thinkwithblack-skill/tree/main/en/skills/mk-063. 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 063?

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 063?

As many as you like. As long as a model supports skills, you can use Mk 063 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mk 063 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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