How do I install the Nerv skill?

Run npx skillmds add majiayu000/nerv 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.

What does the Nerv skill do?

NERV - Rapid LocalSend Test with Voice It is listed under Coding & Dev Tools on SkillMD.

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

Which AI agents work with Nerv?

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.

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

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Nerv by majiayu000 — Agent Skill

Name: Nerv
Rating: 4.5 (4 reviews)
Author: majiayu000

File contents

NERV - Rapid LocalSend Test with Voice

Rapid peer discovery and LocalSend connectivity testing with Italian voice announcements.

State Machine

VOID → SEEKING → FOUND → READY

Commands

# Full test with voice announcements
bb nerv.bb test

# Silent peer discovery
bb nerv.bb seek

# Just announce status
bb nerv.bb announce

Features

Tailscale Integration: Discovers online peers via Tailscale status
LocalSend Check: Tests port 53317 connectivity
Voice Announcements: Emma (Premium) at rate 180 for energetic Italian phrases
State Machine: Tracks discovery progress

Voice Phrases

"NERV inizializzazione!" - startup
"Cercando peers nella rete!" - seeking
"Trovati N peers!" - found count
"Peer X online!" - each peer
"X pronto per trasporto!" - LocalSend ready
"NERV online! Trasporto topologico pronto!" - final ready

Dependencies

Babashka
Tailscale.app
macOS say command

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

networkx [○] via bicomodule
- Universal graph hub

Bibliography References

general: 734 citations in bib.duckdb

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 2. Domain-Specific Languages

Concepts: DSL, wrapper, pattern-directed, embedding

GF(3) Balanced Triad

nerv (+) + SDF.Ch2 (−) + [balancer] (○) = 0

Skill Trit: 1 (PLUS - generation)

Connection Pattern

DSLs embed domain knowledge. This skill defines domain-specific operations.

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.

---name: nervdescription: NERV - Rapid LocalSend Test with Voice--- # NERV - Rapid LocalSend Test with Voice Rapid peer discovery and LocalSend connectivity testing with Italian voice announcements. ## State Machine ``` VOID → SEEKING → FOUND → READY ``` ## Commands ```bash # Full test with voice announcements bb nerv.bb test # Silent peer discovery bb nerv.bb seek # Just announce status bb nerv.bb announce ``` ## Features - **Tailscale Integration**: Discovers online peers via Tailscale status - **LocalSend Check**: Tests port 53317 connectivity - **Voice Announcements**: Emma (Premium) at rate 180 for energetic Italian phrases - **State Machine**: Tracks discovery progress ## Voice Phrases - "NERV inizializzazione!" - startup - "Cercando peers nella rete!" - seeking - "Trovati N peers!" - found count - "Peer X online!" - each peer - "X pronto per trasporto!" - LocalSend ready - "NERV online! Trasporto topologico pronto!" - final ready ## Dependencies - Babashka - Tailscale.app - macOS `say` command ## Scientific Skill Interleaving This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem: ### Graph Theory - **networkx** [○] via bicomodule - Universal graph hub ### Bibliography References - `general`: 734 citations in bib.duckdb ## SDF Interleaving This skill connects to **Software Design for Flexibility** (Hanson & Sussman, 2021): ### Primary Chapter: 2. Domain-Specific Languages **Concepts**: DSL, wrapper, pattern-directed, embedding ### GF(3) Balanced Triad ``` nerv (+) + SDF.Ch2 (−) + [balancer] (○) = 0 ``` **Skill Trit**: 1 (PLUS - generation) ### Connection Pattern DSLs embed domain knowledge. This skill defines domain-specific operations. ## Cat# Integration This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure: ``` Trit: 0 (ERGODIC) Home: Prof Poly Op: ⊗ Kan Role: Adj Color: #26D826 ``` ### GF(3) Naturality The skill participates in triads satisfying: ``` (-1) + (0) + (+1) ≡ 0 (mod 3) ``` This ensures compositional coherence in the Cat# equipment structure.

Frequently asked questions