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Perform a structured code review using change detection and impact
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Basado en la clasificación ocupacional SOC
Work through planned tasks in manageable batches — pick a GitHub issue (plan-labelled, regular, or code-scanning/Dependabot alert), split into parallel subagents, test, review, log, commit, push, open a PR. Never block on CI: start the next batch immediately and reconcile the previous batch's PR (merge if green, fix if red) at the end of the new one. Use when the user asks to work on issues, ship a batch, or process the backlog.
Systematically debug issues using graph-powered code navigation
Navigate and understand codebase structure using the knowledge graph
Plan and execute safe refactoring using dependency analysis
| name | review-changes |
| description | Perform a structured code review using change detection and impact |
Perform a thorough, risk-aware code review using the knowledge graph.
detect_changes to get risk-scored change analysis.get_affected_flows to find impacted execution paths.query_graph with pattern="tests_for" to check test coverage.get_impact_radius to understand the blast radius.Provide findings grouped by risk level (high/medium/low) with:
get_minimal_context(task="<your task>") before any other graph tool.detail_level="minimal" on all calls. Only escalate to "standard" when minimal is insufficient.