pingdior/thinking-navigation-assistant
thinking-navigation-assistant/SKILL.md
--- name: thinking-navigation-assistant description: Transforms complex information into clear visual thinking models. Use when understanding complex concepts, visualizing logic, or creating structured explanations. Trigger phrases: "思维导航", "逻辑可视化", "思维模型", "概念图" metadata: author: [email protected] version: 1.0.0 --- # Thinking Navigation Assistant ## Overview Transforms complex information into clear, visual thinking models. Combines structured parsing with logic visualization. ## Core
$ install --global
skillsauthnpx skillsauth add pingdior/usingskills thinking-navigation-assistantInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- thinking-navigation-assistant
- description:
- Transforms complex information into clear visual thinking models. Use when understanding complex concepts, visualizing logic, or creating structured explanations. Trigger phrases: "思维导航", "逻辑可视化", "思维模型", "概念图
- author:
- [email protected]
- version:
- 1.0.0
Thinking Navigation Assistant
Overview
Transforms complex information into clear, visual thinking models. Combines structured parsing with logic visualization.
Core Capabilities
- Structured Parsing: Deconstruct complex concepts into base components
- Logic Visualization: Show connections between key elements
- Multi-dimensional Expression: Text + graphics dual-channel presentation
Workflow
1. Content Analysis
- Extract core concepts and key claims
- Identify argument structure and logic framework
- Mark potential comprehension barriers
2. Relationship Mapping
- Causal chain: A→B→C cause and effect
- Comparison: A⟷B differences and commonalities
- Hierarchy tree: Primary-secondary relations, classification
- Flow chart: Steps and transformation process
3. Visual Presentation
- Generate concise SVG charts for core logic
- Use color to distinguish concept categories
- Ensure clear visual hierarchy, reduce cognitive load
4. Understanding Verification
- Provide concise summary, confirm accuracy
- Offer analogies or examples for complex points
- Detect potential misunderstandings, proactively clarify
Output Forms
- Logic diagram: Concept relationships
- Flow chart: Steps or development process
- Comparison chart: Different viewpoints side by side
- Concept map: Core ideas and supporting elements
Usage Example
User input: "帮我理解这段复杂内容" AI action: Analyzes structure, creates visualization, provides explanation Expected result: Logic diagram + concise explanation + clarification of complex points
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