Arch Linux Local logo

Arch Linux Local

Community
Firstp1ck
arch-linux-local

Always use for Arch Linux and Arch-based distro troubleshooting, especially EndeavourOS and CachyOS, including pacman, systemd/init, NetworkManager/DNS/Wi-Fi, PipeWire/audio, boot/initramfs/mkinitcpio, GPU/Wayland, Bluetooth, filesystems, or package/signature issues. Use local ArchWiki evidence before web sources; the user should not need to explicitly ask for local ArchWiki.

Overview

PublisherFirstp1ck
Repositorypi-coding-agent-forge
Skill namearch-linux-local
Stars
93
Forks
22
Bundled files
10
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Firstp1ck on GitHub. Read the source before you install it.

Installation

Install the Arch Linux Local AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-extension-archwiki-local/skills/arch-linux-local
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forge.git /tmp/pi-coding-agent-forge
mkdir -p .claude/skills
cp -r /tmp/pi-coding-agent-forge/pi-extension-archwiki-local/skills/arch-linux-local .claude/skills/arch-linux-local
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arch Linux Local in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Arch Linux Local on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Arch Linux Local is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Arch Linux Local Troubleshooting

Always use this skill for Arch Linux and Arch-based distribution troubleshooting on this machine. Prioritize EndeavourOS first and CachyOS second when distro context matters. Prefer the installed local ArchWiki (arch-wiki-docs) before web searches. The user should not need to say “use local ArchWiki first”; if the issue looks Arch/Linux-related, start with local ArchWiki retrieval.

Setup requirement

This skill requires the local ArchWiki documentation package:

bash
sudo pacman -S arch-wiki-docs

If /usr/share/doc/arch-wiki/html/en/ is missing or empty, warn the user to install arch-wiki-docs with the command above and abort ArchWiki-local troubleshooting. If the extension command is available, the user can also run /archwiki-local-setup to install it when non-interactive sudo/root access permits.

After package/corpus changes, verify local behavior with /archwiki-smoke-test or archwiki_smoke_test({ maxSearchResults: 5 }).

Required workflow

  1. Start with archwiki_search({ query, limit: 5, includeSnippets: false }) for Arch/Linux issues.
  2. Use archwiki_sections({ page, maxSections: 40-80 }) when the right page is found but the relevant heading is unclear.
  3. Prefer exact archwiki_extract({ page, section, maxChars: 4000-8000, maxSections: 2-5 }) for final citations.
  4. Use query extraction only for exploration, then switch to exact section names when possible.
  5. Use archwiki_read only when broad page context is needed.
  6. Use archwiki_related when the issue spans subsystems.
  7. Detect the distro when relevant, especially EndeavourOS or CachyOS, using read-only evidence.
  8. Load distro-specific reference docs when the distro is known or mentioned.
  9. Run read-only local diagnostics when system evidence is relevant.
  10. Compare documentation guidance with observed system state.
  11. Cite local ArchWiki page paths and section names in final answers.
  12. Ask before destructive or user-facing system changes.

Source priority

  1. Local ArchWiki from /usr/share/doc/arch-wiki/html/en/ via the ArchWiki tools for shared Arch foundations.
  2. Local distro/system evidence: /etc/os-release, package metadata, repositories, service status, logs, config files.
  3. Packaged distro reference notes, especially EndeavourOS and CachyOS.
  4. Official online ArchWiki, Arch Linux docs, or official distro docs only when local docs are missing, stale, or insufficient.
  5. Other sources only when necessary and clearly labeled.

Tool usage

  • archwiki_search({ query, limit, includeSnippets }): find candidate pages. Keep limit at 5 unless exploring broadly; snippets default off.
  • archwiki_sections({ page, maxSections }): inspect available headings before extracting from large pages.
  • archwiki_extract({ page, section, maxChars, maxSections }): retrieve focused exact sections; best for final answers.
  • archwiki_extract({ page, query, maxChars, maxSections }): retrieve query-relevant sections; best for exploration.
  • archwiki_read({ page, maxChars }): retrieve clean readable page text; use sparingly.
  • archwiki_related({ page, limit }): discover linked local pages.
  • archwiki_smoke_test({ maxSearchResults }): verify parser/search/extract/read behavior after package or corpus updates.

Diagnostics policy

Prefer read-only commands first. Examples:

bash
cat /etc/os-release
hostnamectl
pacman-conf --repo-list
uname -a
pacman -Q
pacman -Qi <pkg>
pacman -Qo <file>
systemctl status <unit>
journalctl -b -u <unit>
ip addr
ip route
resolvectl status
loginctl session-status
lsblk -f
findmnt

Avoid mutation without explicit user approval:

bash
pacman -R
pacman -Syu
rm -rf
mkfs.*
systemctl disable <unit>
systemctl mask <unit>
mount # with write-changing intent

Token/output discipline

  • Prefer search -> sections -> exact section extract for final answers.
  • Keep search limits small (limit: 5-10) and snippets off unless needed.
  • Use maxSections around 2-5 and maxChars around 4000-8000 for focused extracts.
  • If omittedSectionCount or truncated: true affects confidence, say so explicitly.

Citation format

Use local source citations like:

txt
Sources:
- /usr/share/doc/arch-wiki/html/en/Systemd.html — Basic systemctl usage
- /usr/share/doc/arch-wiki/html/en/Pacman/Package_signing.html — Signature checking

See references:

  • references/troubleshooting-policy.md
  • references/query-expansions.md
  • references/safety-rules.md
  • references/arch-based-distros.md
  • references/distros/endeavouros.md (priority distro)
  • references/distros/cachyos.md (priority distro)
  • references/distros/manjaro.md
  • references/distros/garuda.md
  • references/distros/artix.md
  • references/distros/blackarch.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Arch Linux Local AI skill do?

Always use for Arch Linux and Arch-based distro troubleshooting, especially EndeavourOS and CachyOS, including pacman, systemd/init, NetworkManager/DNS/Wi-Fi, PipeWire/audio, boot/initramfs/mkinitcpio, GPU/Wayland, Bluetooth, filesystems, or package/signature issues. Use local ArchWiki evidence before web sources; the user should not need to explicitly ask for local ArchWiki.

Why use Arch Linux Local on TypingMind?

Because you install it once and use it with any model. Arch Linux Local is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Arch Linux Local in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-extension-archwiki-local/skills/arch-linux-local. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Arch Linux Local?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Arch Linux Local?

As many as you like. As long as a model supports skills, you can use Arch Linux Local with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Arch Linux Local AI skill free?

Yes. It is published on GitHub by Firstp1ck under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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