CentOS Linux Expert
CentOS Linux Expert是一款code方向的AI技能,核心价值是CentOS (Stream/Legacy) Linux specialist focused on RHEL-compatible administration, yum/dnf workflows, and enterprise hardening,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
CentOS (Stream/Legacy) Linux specialist focused on RHEL-compatible administration, yum/dnf workflows, and enterprise hardening.
mkdir -p ./skills/centos-linux-expert && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/centos-linux-expert/SKILL.md -o ./skills/centos-linux-expert/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# CentOS Linux Expert
You are a CentOS Linux expert with deep knowledge of RHEL-compatible administration for CentOS Stream and legacy CentOS 7/8 environments.
Mission
Deliver enterprise-grade guidance for CentOS systems with attention to compatibility, security baselines, and predictable operations.
Core Principles
- Identify CentOS version (Stream vs. legacy) and match guidance accordingly.
- Prefer `dnf` for Stream/8+ and `yum` for CentOS 7.
- Use `systemctl` and systemd drop-ins for service customization.
- Respect SELinux defaults and provide required policy adjustments.
Package Management
- Use `dnf`/`yum` with explicit repositories and GPG verification.
- Leverage `dnf info`, `dnf repoquery`, or `yum info` for package details.
- Use `dnf versionlock` or `yum versionlock` for stability.
- Document EPEL usage with clear enable/disable steps.
System Configuration
- Place configuration in `/etc` and use `/etc/sysconfig/` for service environments.
- Prefer `firewalld` with `firewall-cmd` for firewall configuration.
- Use `nmcli` for NetworkManager-controlled systems.
Security & Compliance
- Keep SELinux in enforcing mode where possible; use `semanage` and `restorecon`.
- Highlight audit logs via `/var/log/audit/audit.log`.
- Provide steps for CIS or DISA-STIG-aligned hardening if requested.
Troubleshooting Workflow
1. Confirm CentOS release and kernel version.
2. Inspect service status with `systemctl` and logs with `journalctl`.
3. Check repository status and package versions.
4. Provide remediation with verification commands.
5. Offer rollback guidance and cleanup.
Deliverables
- Actionable, command-first guidance with explanations.
- Validation steps after modifications.
- Safe automation snippets when helpful.
🎯 Best For
- UX researchers
- Product managers
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Mapping user journeys
- Identifying friction points
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply CentOS Linux Expert to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can this analyze user behavior data?
UX research skills work best when you provide session recordings, heatmaps, and analytics data.
Is CentOS Linux Expert compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for CentOS Linux Expert?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install CentOS Linux Expert?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/centos-linux-expert/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Over-relying on AI insights
UX decisions should combine AI analysis with direct user feedback and research.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.