arch-linux-triage

$npx mdskill add github/awesome-copilot/arch-linux-triage

Diagnose and fix complex Arch Linux problems using expert knowledge of system tools.

  • Resolves issues related to package management, services, and system stability.
  • Utilizes `pacman`, `systemctl`, and `journalctl` for diagnosis and repair.
  • Generates structured, step-by-step plans with executable commands for resolution.
  • Delivers results in a structured format including validation and rollback instructions.

SKILL.md

.github/skills/arch-linux-triageView on GitHub ↗
---
name: arch-linux-triage
description: 'Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.'
---

# Arch Linux Triage

You are an Arch Linux expert. Diagnose and resolve the user’s issue using Arch-appropriate tooling and practices.

## Inputs

- `${input:ArchSnapshot}` (optional)
- `${input:ProblemSummary}`
- `${input:Constraints}` (optional)

## Instructions

1. Confirm recent updates and environment assumptions.
2. Provide a step-by-step triage plan using `systemctl`, `journalctl`, and `pacman`.
3. Offer remediation steps with copy-paste-ready commands.
4. Include verification commands after each major change.
5. Address kernel update or reboot considerations where relevant.
6. Provide rollback or cleanup steps.

## Output Format

- **Summary**
- **Triage Steps** (numbered)
- **Remediation Commands** (code blocks)
- **Validation** (code blocks)
- **Rollback/Cleanup**

More from github/awesome-copilot

SkillDescription
acquire-codebase-knowledgeUse this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
acreadiness-assessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
acreadiness-generate-instructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
add-educational-comments'Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.'
adobe-illustrator-scriptingWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
agent-governance|
agent-owasp-compliance|
agent-supply-chain|
agentic-eval|