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Creates GRINDE-style mind maps for higher-order learning and deep encoding. Use when organizing concepts, creating study notes, mapping relationships between ideas, visualizing knowledge structures, or when user mentions mind maps, concept maps, or note-taking.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/az9713/pacer-learning-system --skill grinde-mapper命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Guides efficient learning by prioritizing encoding over retrieval. Use when discussing study strategies, flashcards, active recall, spaced repetition, Anki, or when user asks how to remember or study something.
Guides learning through the 4 layers in proper sequence (Logic → Concepts → Important Details → Arbitrary Details). Use when studying complex topics, building understanding, or when user appears to be jumping to details prematurely without foundational understanding.
Classifies information into PACER categories (Procedural, Analogous, Conceptual, Evidence, Reference) and recommends appropriate digestion protocols. Use when learning new material, studying, reading educational content, processing information for retention, or when user asks about how to study or remember something.
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基于 SOC 职业分类
| name | grinde-mapper |
| description | Creates GRINDE-style mind maps for higher-order learning and deep encoding. Use when organizing concepts, creating study notes, mapping relationships between ideas, visualizing knowledge structures, or when user mentions mind maps, concept maps, or note-taking. |
| allowed-tools | Read, Write, Edit |
Based on Dr. Justin Sung's methodology, GRINDE maps are optimized for learning and encoding, not just visualization.
Traditional Buzan-style mind maps are hierarchical and radial. GRINDE maps are:
What: Organize information into logical chunks using visual containers (boxes, circles, clusters)
Why: Chunking reduces cognitive load and creates meaningful units
How:
Example:
┌─────────────────┐ ┌─────────────────┐
│ CHUNK A │ │ CHUNK B │
│ - Related 1 │ │ - Related 1 │
│ - Related 2 │ │ - Related 2 │
│ - Related 3 │ │ - Related 3 │
└─────────────────┘ └─────────────────┘
What: Pause to ask meaningful questions as you map
Why: Transforms passive note-taking into active thinking
Key Questions:
How:
What: Draw meaningful connections between concepts across chunks
Why: Learning is about relationships, not isolated facts
How:
Example:
┌─────────┐ ┌─────────┐
│ Chunk A │────────►│ Chunk B │
└────┬────┘ └────┬────┘
│ │
│ ┌─────────┐ │
└───►│ Chunk C │◄───┘
└─────────┘
What: Use symbols, doodles, sketches, and visual elements instead of words
Why: Visuals are processed faster and remembered better than text
How:
Symbol Ideas:
★ = Important/Key concept
? = Need to clarify
! = Insight/Aha moment
→ = Leads to/Causes
↔ = Bidirectional relationship
⚡ = Conflict/Tension
∴ = Therefore/Conclusion
≈ = Similar to
≠ = Different from
⟳ = Cycle/Loop
What: Show cause-effect relationships, flow, and process direction
Why: Understanding direction reveals mechanism and causality
How:
Direction Types:
A ──────► B (A causes/leads to B)
A ◄─────► B (Bidirectional relationship)
A ──┬──► B (A leads to both B and C)
└──► C
A ──► B ──► C (Sequential process)
What: Visually highlight the most important concepts and relationships
Why: Not all information is equally important; emphasis creates hierarchy
How:
Emphasis Techniques:
★★★ CRITICAL ★★★ (triple stars for most important)
★★ Important ★★ (double stars)
★ Notable ★ (single star)
(supporting detail) (parentheses for minor)
When creating maps in text, use this structure:
═══════════════════════════════════════════════════════════
★★★ CENTRAL TOPIC ★★★
═══════════════════════════════════════════════════════════
┌─────────────────────────────────────┐
│ ★★ CHUNK 1: [Name] ★★ │
│ │
│ • Key point A │
│ • Key point B │
│ └─► Sub-detail │
│ • Key point C │
│ │
│ Why it matters: [insight] │
└──────────────────┬──────────────────┘
│
│ causes/enables
▼
┌─────────────────────────────────────┐
│ ★ CHUNK 2: [Name] ★ │
│ │
│ • Point with relationship ──────────────┐
│ • Another point │ │
└─────────────────────────────────────┘ │
│
┌─────────────────────────────────┘
│ connects to
▼
┌─────────────────────────────────────┐
│ CHUNK 3: [Name] │
│ │
│ (supporting details here) │
└─────────────────────────────────────┘
═══════════════════════════════════════════════════════════
BACKBONE: [1-sentence summary of the core insight]
═══════════════════════════════════════════════════════════