mind-maps
Map a topic visually: central node, branches, labelled relationships between concepts, and where the blank spaces are.
Skill by poorvith-mp
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/mind-maps
What's inside
- Skill name
mind-maps- Description
- Map a topic visually: central node, branches, labelled relationships between concepts, and where the blank spaces are. Use when synthesizing knowledge into hierarchical mind maps or visual diagrams.
- License
- MIT
- Instructions
- 103 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- routing.yaml · evals/
- mind-maps.skill
SKILL.md (first lines)
# mind-maps
## Core Philosophy
A mind map is not an artistic doodle or an unconstrained brainstorm web; it is an externalized spatial model of cognitive semantic memory. Linear text forces knowledge into a 1-dimensional sequential stream, masking hierarchical dependencies and lateral cross-domain connections. Effective mind mapping—and its formal sibling, the Novakian concept map—radiates outward from a central core problem, establishes labeled propositional relationships between nodes, clusters concepts by semantic hierarchy, and deliberately exposes conceptual voids where understanding has gaps.
---
## 4-Step Mind & Concept Mapping Framework
### Step 1: Central Anchor & Radiant Semantic Hierarchies
1. **The Core Anchor**:
- The center node must not be a vague word (e.g. *"Physics"*); it must represent a specific architectural system or governing inquiry:
- *"Linux Virtual Memory Subsystem"* or *"Mechanisms of Antibiotic Resistance"*.
2. **Radial Hierarchy (Chunking Principle)**:
- Primary Branches (Tier 1): 4 to 7 fundamental operational pillars (respecting Miller's Law $7 \pm 2$).
- Secondary Branches (Tier 2): Concrete mechanisms, sub-modules, or governing laws.
- Tertiary Leaves (Tier 3): Specific empirical parameters, data structures, or code symbols.
### Step 2: Labeled Propositional Relationships (Novak Standard)
1. **The Proposition Rule**:
- A bare line between two circles conveys zero meaning. Every edge must feature a **linking phrase / directional predicate**:
- `[Virtual Memory]` --*translates addresses via*--> `[Page Table]`
- `[Page Table]` --*caches lookups in*--> `[TLB (Translation Lookaside Buffer)]`
- `[TLB]` --*on miss triggers*--> `[Hardware Page Table Walk]`
2. **Triangular Propositions**:
- Any two connected nodes plus their linking verb must read aloud as an intelligible sentence: `Node A + Verb + Node B`.
### Step 3: Lateral Cross-Links & Graph Density
1. **Cross-Domain Synthesis**:
- Draw explicit dashed connectors across disparate branches to highlight feedback loops, trade-offs, or shared bottlenecks.
2. **Graph Density Calibration**:
$$D = \frac{2|E|}{|V|(|V|-1)}$$
- A graph with high node count $|V|$ but near-zero cross-edges $|E|$ is merely an indented list rendered as circles. True systems mastery emerges when cross-branch density reveals systemic interplay.
### Step 4: Diagnosing Conceptual Voids (The Blank-Space Audit)
1. **The Structural Gap Scan**:
- Examine the perimeter leaves:
- Are there orphaned leaves with no downstream consequences?
- Are there symmetrical subsystems where one side has 12 leaves and the other has only 1?
- The missing nodes represent the boundaries of your knowledge—use them as targeted study queues.
---
## Deliverable Format: Markdown / Mermaid Knowledge Graph Syntax
```mermaid
graph TD
Root["Linux Virtual Memory Subsystem"]
%% Primary Pillars
Root -->|"allocates via"| VMA["Virtual Memory Areas (vm_area_struct)"]
Root -->|"manages physical frames via"| Buddy["Buddy Allocator"]
Root -->|"translates addresses via"| Paging["Multi-Level Paging"]
%% Tier 2 Mechanisms
Paging -->|"caches translation in"| TLB["TLB Cache"]
Paging -->|"maps 4KB/2MB pages via"| PTE["Page Table Entries"]
Buddy -->|"mitigates internal fragmentation via"| Slab["SLAB / SLUB Cache"]
Slab -->|"allocates kernel objects like"| KernObj["dentry, inode, task_struct"]
%% Lateral Cross-Links (The Systemic Connections)
PTE -.->|"on absent bit triggers"| PageFault["Page Fault Handler"]
PageFault -.->|"checks valid address range in"| VMA
PageFault -.->|"requests physical page frame from"| Buddy
PageFault -.->|"if physical RAM full triggers"| Swap["kswapd / Page Reclaim"]
classDef core fill:#1e293b,stroke:#3b82f6,stroke-width:2px,color:#fff;
classDef branch fill:#0f172a,stroke:#64748b,stroke-width:1px,color:#cbd5e1;
class Root core;
class VMA,Buddy,Paging,TLB,PTE,Slab,PageFault,Swap branch;
```
---
## Worked Example: Mapping a Complex Distributed Architecture
- **Problem**: A software team struggled to understand the cascading failure modes in their microservices payment pipeline.
- **Intervention**:
1. Drafted a radial concept map centering on `Payment Transaction Authorization`.
2. Mapped 4 main branches: `Auth Service`, `Fraud Engine`, `Payment Gateway Adapter`, and `Ledger Event Bus`.
3. Identified a missing lateral cross-link: when the `Payment Gateway Adapter` experienced 504 timeouts, the `Auth Service` hung indefinitely because it lacked an exponential backoff circuit breaker.
- **Outcome**: The visual cross-link gap led directly to the implementation of Resilience4j circuit breakers, preventing a recurring $40,000/hr downtime outage.
---
## Verification Checklist
- [ ] Central root node clearly defines a bounded topic or inquiry.
- [ ] Primary radial branches limited to 4-7 core operational pillars.
- [ ] Every connecting edge possesses a descriptive directional verb/predicate.
- [ ] Lateral cross-links connect concepts across different primary branches.
- [ ] Asymmetries and blank spaces identified for follow-up research.
---
## Anti-Patterns
- **The Monolithic Radial List**: Branching 40 un-categorized leaves directly off the central node like spokes on a bicycle wheel.
- **Unlabeled Lines**: Drawing lines between circles without verbs, making the nature of the relationship impossible to decode.
- **Aesthetic Over-Decoration**: Spending 3 hours choosing pastel color palettes and finding clip-art icons instead of clarifying conceptual relationships.From poorvith-mp/skills-education, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
- Last release
- Oct 2, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/poorvith-mp/skills-education
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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mind-maps skill. Agent Mart. https://agentmart.dev/skills/poorvith-mp-mind-maps (last updated 2026-10-24)