Integrates everything-claude-code and ralph to enhance Claude Code capabilities. Benefits operations teams by automating workflows. Connects to shell-based tools and workflows.
git clone https://github.com/hellangleZ/burn-in-cceverywhere-ralph.gitIntegrates everything-claude-code and ralph to enhance Claude Code capabilities. Benefits operations teams by automating workflows. Connects to shell-based tools and workflows.
1. **Define the Task**: Replace [TASK_DESCRIPTION] with your specific automation goal (e.g., 'Deploy a new microservice to staging with health checks'). Include [LOG_FILE_PATH] for output logging (e.g., '/tmp/automation.log'). 2. **Set Conditions**: Use [CONDITION] to specify triggers (e.g., 'if disk space < 20%'). Use [ACTION] to define follow-up steps (e.g., 'send Slack alert to #ops-alerts'). 3. **Run the Script**: Execute the generated command in your terminal or CI/CD pipeline. Example: ```bash claude-code --execute "use ralph and everything-claude-code to automate the task: Deploy microservice to staging with health checks. Log outputs to /tmp/deploy.log. If health check fails, trigger rollback." ``` 4. **Review Outputs**: Check the log file at [LOG_FILE_PATH] for detailed results. Use the summary to verify success or identify issues. 5. **Iterate**: Refine the task based on errors or gaps in the output. Adjust [CONDITION] or [ACTION] as needed for future runs.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/hellangleZ/burn-in-cceverywhere-ralphCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use ralph and everything-claude-code to automate the following task: [TASK_DESCRIPTION]. Ensure all steps are executed in a shell environment with error handling. Log outputs to [LOG_FILE_PATH]. If [CONDITION] is met, trigger [ACTION]. Include a summary of changes made and any errors encountered.
``` === Ralph Automation Report: Server Migration (2024-05-20) === Task: Migrate 15 legacy servers to new Kubernetes clusters with zero downtime. Steps Executed: 1. **Pre-flight Checks** (ralph): - Verified server connectivity: 15/15 (100%) - Checked disk space: 8/15 servers below 20% threshold (flagged for cleanup) - Validated Kubernetes cluster health: All 3 clusters operational 2. **Automated Migration** (everything-claude-code): - Generated migration scripts for 12 servers (3 skipped due to low disk space) - Executed rolling updates with 2-minute intervals between servers - Monitored pod restarts: 0 failures in 12 migrations - Logged real-time metrics to /var/log/ralph/migration_20240520.log 3. **Post-migration Validation** (ralph): - Confirmed service endpoints: 15/15 (100%) - Checked application health: All services returned 200 OK - Verified data consistency: No discrepancies detected Errors Encountered: - Server `legacy-db-03`: Disk space at 15% (below threshold). Skipped migration. Recommended action: Clean up old logs or expand storage. - Cluster `prod-east-02`: Temporary network latency spike during migration. Resolved automatically after 30 seconds. Summary: - Successfully migrated 12/15 servers (80%) - 3 servers skipped due to pre-flight issues (20%) - No service disruptions reported - Total runtime: 47 minutes Recommendations: 1. Schedule disk cleanup for `legacy-db-03` before next migration window. 2. Investigate network stability in `prod-east-02` cluster. 3. Automate disk space alerts in ralph for proactive monitoring. ```
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