How do I install the Skill Network skill?

Run npx skillmds@latest add npbuilds/skill-network in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Skill Network safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Skill Network?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Skill Network free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Skill Network?

npbuilds (@npbuilds) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Skill Network by npbuilds — Agent Skill

Name: Skill Network
Author: npbuilds

Skill Network

Visualize the skill network as an ASCII dependency graph. Use when the user wants to see how skills connect, trace dependency chains, find orphaned skills, or understand the relationship topology of the mycelial network.

npbuilds 7e72156 3 files · 6.4 KB Updated Sep 17, 2026

File contents

Skill Network — The Cartographer

Map and visualize the mycelial network of skill relationships. Reads the registry to produce ASCII dependency graphs, detect orphans, and reveal the network topology.

Operations

1. Full Network Graph

Display all skills and their relationships as an ASCII directed graph:

SKILL NETWORK
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
                       skill-registry (100)
       ┌────┬────┬────┬────┼────┬──────┬──────┐
       │    │    │    │    │    │      │      │
       ▼    ▼    ▼    ▼    ▼    ▼      ▼      ▼
     health dash test anlz fork net  export scaffold
       │         │              │             │
       │         └──► analyze   │             │
       └──► dashboard           │             │
                          ┌─────┘             │
                          ▼                   │
                     scaffold ◄───────────────┘
                          │
                          ▼
                     skill-fork

Legend: ─▶ depends_on   (100) = composite score
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Nodes: 9    Edges: 14    Orphans: 0    Max depth: 4

2. Dependency Chain

Trace the full dependency chain for a specific skill:

CHAIN — skill-scaffold
━━━━━━━━━━━━━━━━━━━━━━━
skill-scaffold
  ├─ depends_on: skill-registry
  ├─ depends_on: skill-health
  │    └─ depends_on: skill-registry ◄ (already visited)
  │    └─ depends_on: skill-dashboard
  │         └─ depends_on: skill-registry ◄ (already visited)
  └─ depends_on: skill-dashboard ◄ (already visited)

Depth: 3    Unique dependencies: 3

3. Reverse Dependencies (Impact Analysis)

Show what breaks if a skill changes:

IMPACT — skill-registry
━━━━━━━━━━━━━━━━━━━━━━━
skill-registry is referenced by:
  ├─ skill-health
  ├─ skill-dashboard
  ├─ skill-scaffold
  ├─ skill-test
  ├─ skill-analyze
  ├─ skill-fork
  ├─ skill-network
  └─ skill-export

Direct dependents: 8    Total (transitive): 8
⚠ HIGH IMPACT — changes affect 100% of the network

4. Orphan Detection

Find skills with no connections (neither depends_on nor referenced_by):

ORPHANS
━━━━━━━━
  (none found — all skills are connected)

Or if orphans exist:

  ⚠ skill-lonely — no dependencies, not referenced by anyone
    Suggestion: connect to domain peers or consider archiving

How to Build the Graph

Read data/registry.json
For each skill, collect depends_on and referenced_by
Build an adjacency list
Detect cycles (should not exist — warn if found)
Compute depth via BFS from root nodes (skills with no depends_on)
Render as ASCII using box-drawing characters

Read references/graph-rendering.md for ASCII rendering rules.

---name: skill-networkdescription: Visualize the skill network as an ASCII dependency graph. Use when the user wants to see how skills connect, trace dependency chains, find orphaned skills, or understand the relationship topology of the mycelial network.---# Skill Network — The CartographerMap and visualize the mycelial network of skill relationships. Reads the registry to produce ASCII dependency graphs, detect orphans, and reveal the network topology.## Operations### 1. Full Network GraphDisplay all skills and their relationships as an ASCII directed graph:```SKILL NETWORK━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ skill-registry (100) ┌────┬────┬────┬────┼────┬──────┬──────┐ │ │ │ │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ health dash test anlz fork net export scaffold │ │ │ │ │ └──► analyze │ │ └──► dashboard │ │ ┌─────┘ │ ▼ │ scaffold ◄───────────────┘ │ ▼ skill-forkLegend: ─▶ depends_on (100) = composite score━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Nodes: 9 Edges: 14 Orphans: 0 Max depth: 4```### 2. Dependency ChainTrace the full dependency chain for a specific skill:```CHAIN — skill-scaffold━━━━━━━━━━━━━━━━━━━━━━━skill-scaffold ├─ depends_on: skill-registry ├─ depends_on: skill-health │ └─ depends_on: skill-registry ◄ (already visited) │ └─ depends_on: skill-dashboard │ └─ depends_on: skill-registry ◄ (already visited) └─ depends_on: skill-dashboard ◄ (already visited)Depth: 3 Unique dependencies: 3```### 3. Reverse Dependencies (Impact Analysis)Show what breaks if a skill changes:```IMPACT — skill-registry━━━━━━━━━━━━━━━━━━━━━━━skill-registry is referenced by: ├─ skill-health ├─ skill-dashboard ├─ skill-scaffold ├─ skill-test ├─ skill-analyze ├─ skill-fork ├─ skill-network └─ skill-exportDirect dependents: 8 Total (transitive): 8⚠ HIGH IMPACT — changes affect 100% of the network```### 4. Orphan DetectionFind skills with no connections (neither depends_on nor referenced_by):```ORPHANS━━━━━━━━ (none found — all skills are connected)```Or if orphans exist:``` ⚠ skill-lonely — no dependencies, not referenced by anyone Suggestion: connect to domain peers or consider archiving```## How to Build the Graph1. Read `data/registry.json`2. For each skill, collect `depends_on` and `referenced_by`3. Build an adjacency list4. Detect cycles (should not exist — warn if found)5. Compute depth via BFS from root nodes (skills with no `depends_on`)6. Render as ASCII using box-drawing charactersRead `references/graph-rendering.md` for ASCII rendering rules.

Frequently asked questions