tailscale

Mesh VPN.

16 stars

Best use case

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

Mesh VPN.

Teams using tailscale 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/tailscale/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/tailscale/SKILL.md"

Manual Installation

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

How tailscale Compares

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

Frequently Asked Questions

What does this skill do?

Mesh VPN.

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

# tailscale

Mesh VPN.

## Connect

```bash
tailscale up
tailscale down
tailscale status
```

## SSH

```bash
tailscale ssh hostname
tailscale ssh user@hostname
```

## Serve

```bash
tailscale serve http://localhost:8080
tailscale serve https://localhost:443
tailscale serve status
tailscale serve reset
```

## Funnel

```bash
tailscale funnel 443
tailscale funnel status
tailscale funnel reset
```

## File

```bash
tailscale file cp file.txt hostname:
tailscale file get ~/Downloads/
```

## DNS

```bash
tailscale dns status
tailscale whois 100.x.y.z
```

## Exit

```bash
tailscale set --exit-node=hostname
tailscale set --exit-node=
```



## 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

- `distributed-systems`: 3 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.