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46 lines
2.1 KiB
Markdown
46 lines
2.1 KiB
Markdown
# Tailscale / Headscale — Self-Hosted Mesh VPN Bundle
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A comprehensive bundle of 7 sub-skills covering the entire self-hosted Tailscale ecosystem using Headscale as the open-source control server. Deploy, configure, and maintain your own WireGuard-based mesh VPN.
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## Why Install This Bundle
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When your agent loads this bundle, it becomes a **Tailscale/Headscale infrastructure engineer** who can handle the full lifecycle:
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- **Deploy Headscale** — install and configure the control server
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- **Author tailnet policies** — ACL rules, tag-based access control, user groups
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- **Manage node lifecycle** — auth keys, registration, tagging, decommissioning
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- **Configure clients** — install and connect Tailscale to your Headscale server
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- **Set up routing** — subnet routers and exit nodes
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- **Deploy DERP relays** — reliable peer-to-peer connectivity across NATs
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- **Backup and migrate** — regular backup and restoration of the control server
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## What You Get
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| Directory | Purpose |
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|-----------|---------|
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| `SKILL.md` | Bundle umbrella — trigger-based auto-loading for 7 sub-skills |
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| `skills/` | 7 sub-skills: headscale-deploy, tailnet-policy, headscale-node-lifecycle, tailscale-client, headscale-routing, headscale-derp, headscale-backup |
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| `scripts/` | 23 shared scripts with `--json` and `--dry-run` support |
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| `references/` | 8 reference documents |
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| `templates/` | 6 templates for policy files and configs |
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## Quick Start
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1. **Deploy Headscale** first — install the control server
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2. **Configure tailnet policy** — set up ACLs before opening to users
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3. **Manage nodes** — register and tag machines on your tailnet
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4. **Install clients** — connect machines to your headscale server
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## Triggers
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Load this when you hear "Tailscale," "Headscale," "tailnet," "mesh VPN," "WireGuard mesh," or "self-hosted VPN infrastructure."
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## Requirements
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Bash, Python 3.8+, jq, curl. Access to a Headscale server or the `headscale` CLI. Tailscale client on target machines.
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## Why Install This Skill
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This skill packages practical, reusable guidance for this domain so you can move from a real task to a dependable result without rebuilding the workflow each time.
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