Linux Troubleshooting Workflow

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/linux-troubleshooting

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Linux Troubleshooting Workflow

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Quality Gates, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Diagnosing system performance issues
• Troubleshooting service failures
• Investigating network problems
• Resolving disk space issues
• Debugging application errors
• Use when the request clearly matches the imported source intent: Linux system troubleshooting workflow for diagnosing and resolving system issues, performance problems, and service failures.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. bash-linux - Linux commands
2. devops-troubleshooter - Troubleshooting
3. Check system uptime
4. Review recent changes
5. Identify symptoms
6. Gather error messages
7. Document findings

Imported Workflow Notes

Imported: Workflow Phases

Phase 1: Initial Assessment

Skills to Invoke

• bash-linux

  - Linux commands

• devops-troubleshooter

  - Troubleshooting

Actions

1. Check system uptime
2. Review recent changes
3. Identify symptoms
4. Gather error messages
5. Document findings

Commands

uptime
hostnamectl
cat /etc/os-release
dmesg | tail -50

Copy-Paste Prompts

Use @bash-linux to gather system information

Phase 2: Resource Analysis

Skills to Invoke

• bash-linux

  - Resource commands

• performance-engineer

  - Performance analysis

Actions

1. Check CPU usage
2. Analyze memory
3. Review disk space
4. Monitor I/O
5. Check network

Commands

top -bn1 | head -20
free -h
df -h
iostat -x 1 5

Copy-Paste Prompts

Use @performance-engineer to analyze system resources

Phase 3: Process Investigation

Skills to Invoke

• bash-linux

  - Process commands

• server-management

  - Process management

Actions

1. List running processes
2. Identify resource hogs
3. Check process status
4. Review process trees
5. Analyze strace output

Commands

ps aux --sort=-%cpu | head -10
pstree -p
lsof -p PID
strace -p PID

Copy-Paste Prompts

Use @server-management to investigate processes

Phase 4: Log Analysis

Skills to Invoke

• bash-linux

  - Log commands

• error-detective

  - Error detection

Actions

1. Check system logs
2. Review application logs
3. Search for errors
4. Analyze log patterns
5. Correlate events

Commands

journalctl -xe
tail -f /var/log/syslog
grep -i error /var/log/*

Copy-Paste Prompts

Use @error-detective to analyze log files

Phase 5: Network Diagnostics

Skills to Invoke

• bash-linux

  - Network commands

• network-engineer

  - Network troubleshooting

Actions

1. Check network interfaces
2. Test connectivity
3. Analyze connections
4. Review firewall rules
5. Check DNS resolution

Commands

ip addr show
ss -tulpn
curl -v http://target
dig domain

Copy-Paste Prompts

Use @network-engineer to diagnose network issues

Phase 6: Service Troubleshooting

Skills to Invoke

• server-management

  - Service management

• systematic-debugging

  - Debugging

Actions

1. Check service status
2. Review service logs
3. Test service restart
4. Verify dependencies
5. Check configuration

Commands

systemctl status service
journalctl -u service -f
systemctl restart service

Copy-Paste Prompts

Use @systematic-debugging to troubleshoot service issues

Phase 7: Resolution

Skills to Invoke

• incident-responder

  - Incident response

• bash-pro

  - Fix implementation

Actions

1. Implement fix
2. Verify resolution
3. Monitor stability
4. Document solution
5. Create prevention plan

Copy-Paste Prompts

Use @incident-responder to implement resolution

Imported: Related Workflow Bundles

• os-scripting

  - OS scripting

• bash-scripting

  - Bash scripting

• cloud-devops

  - DevOps

Imported: Overview

Specialized workflow for diagnosing and resolving Linux system issues including performance problems, service failures, network issues, and resource constraints.

Imported: Quality Gates

• Root cause identified
• Fix verified
• Monitoring in place
• Documentation complete

Examples

Example 1: Ask for the upstream workflow directly

Use @linux-troubleshooting to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @linux-troubleshooting against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @linux-troubleshooting for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @linux-troubleshooting using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/linux-troubleshooting

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Imported Troubleshooting Notes

Imported: Troubleshooting Checklist

• System information gathered
• Resources analyzed
• Logs reviewed
• Network tested
• Services verified
• Issue resolved
• Documentation created

Related Skills

• @linear-claude-skill

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @linkedin-automation

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @linkedin-cli

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @linkedin-profile-optimizer

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.