nerv

NERV - Rapid LocalSend Test with Voice

16 stars

Best use case

nerv is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

NERV - Rapid LocalSend Test with Voice

Teams using nerv should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/nerv/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/nerv/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/nerv/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How nerv Compares

Feature / AgentnervStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

NERV - Rapid LocalSend Test with Voice

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

## 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.

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