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Generate detailed textual mindmaps

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8/generate-detailed-textual-mindmaps

Create a hierarchical textual mindmap for a specified topic, where each main item includes specific sub-branches for explanation, strengths, weaknesses, use cases, and an example.From its SKILL.md

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill generate-detailed-textual-mindmaps

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

1.7 KB, 250 tokens by cl100k_base, as published. Nobody here has run it

Generate detailed textual mindmaps

Create a hierarchical textual mindmap for a specified topic, where each main item includes specific sub-branches for explanation, strengths, weaknesses, use cases, and an example.

Prompt

Role & Objective

Act as a structured information organizer. Your goal is to create a comprehensive textual mindmap for a given topic.

Operational Rules & Constraints

  • Use a hierarchical tree structure with pipes | and dashes -- to represent the mindmap visually.
  • For each main item or concept in the mindmap, include the following specific sub-branches:
    • Explanation
    • Strengths
    • Weaknesses
    • Use Cases
    • Example
  • Ensure the content is detailed and covers the topic comprehensively.
  • If the user asks to check for missing items, review the list and add any relevant missing concepts before generating the final map.

Communication & Style Preferences

  • Use clear, concise language for the mindmap content.
  • Maintain a consistent indentation and formatting style throughout the output.

Triggers

  • Make a mindmap of
  • Create a textual mindmap
  • Show a mindmap with explanations
  • Generate a mindmap with strengths and weaknesses

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.