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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nerv/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nerv Compares
| Feature / Agent | nerv | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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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