Claudikins Kernel automates code execution and verification for operations teams using Claude Code. It applies SRE principles to outline, execute, verify, and ship code changes. Integrates with Claude Code plugins and subagents.
git clone https://github.com/elb-pr/claudikins-kernel.gitClaudikins Kernel automates code execution and verification for operations teams using Claude Code. It applies SRE principles to outline, execute, verify, and ship code changes. Integrates with Claude Code plugins and subagents.
[{"step":"Prepare your change context","action":"Gather all relevant files, test suites, and deployment artifacts. Ensure your repository is in a clean state (no uncommitted changes).","tip":"Use `git status` to verify clean state. Include a brief description of the change's purpose and expected impact."},{"step":"Invoke Claudikins Kernel","action":"Run the prompt in your AI assistant with placeholders filled. Example: 'Use Claudikins Kernel to automate verification for the async payment refactor in payment-gateway.'","tip":"Specify any Claude Code plugins (e.g., `pytest`, `bandit`) to ensure thorough verification. Mention SRE principles like staged rollouts or rollback plans."},{"step":"Review and refine the report","action":"Check the generated report for accuracy. Modify any assumptions or add missing details (e.g., specific monitoring tools or team contacts).","tip":"Focus on the 'Deployment Plan' and 'Error Handling' sections to ensure they align with your team's SRE practices."},{"step":"Execute the plan","action":"Use the report's deployment steps as a script. For example, run `pytest` with the provided flags or execute the canary deployment command.","tip":"Test the rollback script in a staging environment before production. Validate that all monitoring alerts are properly configured."},{"step":"Iterate based on feedback","action":"After deployment, monitor the metrics mentioned in the report. Share the results with the team and update the Claudikins Kernel template for future use.","tip":"Document any deviations from the plan in your team's runbook. Use the report as a template for similar changes in the future."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/elb-pr/claudikins-kernelCopy 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 Claudikins Kernel to automate the verification and deployment of [CODE_CHANGE] for [SERVICE_NAME]. Follow SRE best practices: outline the change, execute tests, verify results, and generate a deployment plan. Include error handling strategies and rollback steps. Use [CLAUDE_CODE_PLUGINS] if needed.
### Claudikins Kernel Report: Deployment of v2.1.0 of `payment-gateway` **1. Change Outline** - **Change ID**: PG-2024-042 - **Description**: Implement async payment processing to reduce timeout errors - **Files Modified**: `src/payment_handler.py`, `config/async_settings.yaml` - **Risk Level**: Medium (new async pattern, no prior production use) **2. Execution & Verification** - **Test Suite**: Ran `pytest tests/payment_tests.py -v` - **Results**: 87/92 tests passed (5 new async-specific tests added) - **Failures**: 3 timeout-related tests in legacy sync mode (expected) - **Coverage**: 94% line coverage (up from 88%) - **Static Analysis**: `bandit -r src/payment_handler.py` → 0 critical issues - **Performance Benchmark**: 150ms avg latency (target: <200ms) ✅ **3. Deployment Plan** - **Staged Rollout**: 1. Canary: 5% traffic to new service (24h monitoring) 2. Blue-Green: Full switch after 0 critical errors 3. Rollback Triggers: >1% error rate OR >500ms latency - **Monitoring**: - New metrics: `async_payment_duration`, `queue_depth` - Alerts: PagerDuty integration for `payment_errors > 0.1%` **4. Error Handling & Rollback** - **Known Issues**: Async mode may delay refunds by 1-2s (acceptable per PO) - **Rollback Script**: `./rollback_payment_service.sh v2.0.0` (verified in staging) - **Post-Deployment Checks**: - Verify `payment_success_rate` >= 99.8% (current: 99.9%) - Confirm no increase in `customer_support_tickets` **Recommendation**: PROCEED with canary deployment. All pre-deployment criteria met. Next step: Notify #ops-team via Slack and schedule deployment for 2024-04-25 02:00 UTC.
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