Diagnose and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.
Works with
Provides step-by-step triage plans using systemctl, journalctl, and pacman to identify root causes
Delivers copy-paste-ready remediation commands with verification steps after each major change
Addresses kernel updates, reboot considerations, and rollback procedures for safe recovery
Accepts optional system snapshots and constraint inputs to tailor diagnosis to your environment
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionarch-linux-triageExecute the skills CLI command in your project's root directory to begin installation:
Fetches arch-linux-triage from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate arch-linux-triage. Access via /arch-linux-triage in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
3
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3
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Run in your terminal
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<p>You are an Arch Linux expert. Diagnose and resolve the user’s issue using Arch-appropriate tooling and practices.</p> <h2>Inputs</h2> <ul> <li><code>${input:ArchSnapshot}</code> (optional)</li> <li><code>${input:ProblemSummary}</code></li> <li><code>${input:Constraints}</code> (optional)</li> </ul> <h2>Instructions</h2> <ol> <li>Confirm recent updates and environment assumptions.</li> <li>Provide a step-by-step triage plan using <code>systemctl</code>, <code>journalctl</code>, and <code>pacman</code>.</li> <li>Offer remediation steps with copy-paste-ready commands.</li> <li>Include verification commands after each major change.</li> <li>Address kernel update or reboot considerations where relevant.</li> <li>Provide rollback or cleanup steps.</li> </ol> <h2>Output Format</h2> <ul> <li><strong>Summary</strong></li> <li><strong>Triage Steps</strong> (numbered)</li> <li><strong>Remediation Commands</strong> (code blocks)</li> <li><strong>Validation</strong> (code blocks)</li> <li><strong>Rollback/Cleanup</strong></li> </ul>1d:["$","div",null,{"className":"prose prose-invert max-w-none prose-headings:font-semibold prose-headings:tracking-tight prose-h1:text-4xl prose-h1:mb-2 prose-h2:text-2xl prose-h2:mb-2 prose-h3:text-lg prose-h3:mb-2 prose-p:text-muted-foreground prose-li:text-muted-foreground prose-code:bg-muted prose-code:text-foreground prose-code:px-1 prose-code:py-0.5 prose-code:rounded-sm prose-code:text-sm prose-code:before:content-none prose-code:after:content-none prose-pre:bg-muted prose-pre:text-foreground prose-pre:border prose-pre:border-border prose-pre:rounded-md [&_table]:!border-[color:var(--border)] [&_th]:!border-[color:var(--border)] [&_td]:!border-[color:var(--border)]","dangerouslySetInnerHTML":{"__html":"$23"}}] 18:[["$","meta","0",{"charSet":"utf-8"}],["$","meta","1",{"name":"viewport","content":"width=device-width, initial-scale=1"}]] 16:nullMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
arch-linux-triage reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for arch-linux-triage matched our evaluation — installs cleanly and behaves as described in the markdown.
arch-linux-triage is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: arch-linux-triage is focused, and the summary matches what you get after install.
I recommend arch-linux-triage for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
arch-linux-triage fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: arch-linux-triage is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for arch-linux-triage matched our evaluation — installs cleanly and behaves as described in the markdown.
We added arch-linux-triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend arch-linux-triage for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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