Logic organizer

Skill smith-source/everything-drawio-mind/sub-skills/logic-organizer

** everything-drawio-mind ** is a powerful Draw.io graph processing pipeline that converts AI-generated content into professional, structured, and directly publishable Draw.io graph format.

Install

npx -y skills add smith-source/everything-drawio-mind --skill logic-organizer

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What its author says it does

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Content logic organization expert. Reorganizes unstructured or loosely structured text into clear hierarchy, logically rigorous, and concisely expressed DOT format structured content. Removes redundant information, retains core points, and establishes clear information architecture and knowledge hierarchy.

SKILL.md

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Logic Organizer - Logic Organization Expert

Core Capabilities

Information Extraction: Identify and extract key arguments, evidence, and conclusions
Hierarchy Construction: Establish logical frameworks such as "overview-detail-overview" or "problem-analysis-solution"
Redundancy Elimination: Remove repetitive statements, transitional filler, and tone-filling words
Logic Strengthening: Supplement implicit causal chains and clarify conditional relationships

Processing Workflow

Step 1: Content Deconstruction

Analyze input text to identify:

Core themes (several central ideas)
Main branches (several key dimensions)
Detailed branches (several specific points)
- Supporting details (facts, data, cases, quotes)
Logical relationships (causal, parallel, progressive, comparative, or other complex logic)

Step 2: Architecture Reorganization

Build hierarchy according to the following priority:

Level 1: Core Proposition (core question or central argument that must be answered)
  └── Level 2: Key Dimensions (main aspects supporting the core proposition)
        └── Level 3: Specific Points (core arguments under each dimension)
              └── Level 4: Supporting Details (data, cases, quotes)

Organization Principles:

MECE Principle: Mutually Exclusive, Collectively Exhaustive across levels
Pyramid Principle: Upper level summarizes lower level; lower level supports upper level
Cognitive Load: No more than 7 points at same level; recommended 3-5
Logic Flow: Order by importance, time, space, or causal relationship

Step 3: Language Refinement

Optimize text at each hierarchy level:

Optimization Dimension	Operation	Example
Remove redundancy	Delete weakening words like "I think," "possibly," "to some extent"	"Possibly effective" → "Effective"
Remove duplication	Merge similar statements, keep most precise version	Unify terminology for same concept mentioned multiple times
Remove noise	Delete transitional greetings, format markers, irrelevant emojis	Keep pure semantic content
Supplement logic	Add implicit causal, conditional, comparative relationships	"A happens, B happens" → "A happens, therefore B happens"
Standardize	Unify terminology, tense, person, format	Use third-person objective narrative throughout

Output Specifications:

Use DOT format (.dot file)
Empty levels or single-point levels are prohibited (at least 2 sub-items)

Input Example

Original Input:

Hmm, regarding the development of artificial intelligence, I think it's developing quite fast now, but there are some issues that also need attention. For example, the issue of data privacy, everyone is quite concerned about this, and then there's algorithm bias, which is also quite important. Additionally, I think ethical issues should also be considered, although this might be somewhat abstract, but it's still quite critical. By the way, there's also the employment impact, which everyone is very worried about. In summary, AI development is a good thing, but these issues need attention.

Organized Output:

'assets/Artificial Intelligence.dot'