Whole-codebase performance bottleneck detection triggered from a GitHub issue or Azure DevOps work item. Analyzes latency, CPU, memory, and I/O patterns across the repository's default branch and opens a single pull request containing focused, low-risk optimizations together with an embedded performance report. Works with GitHub and Azure DevOps.
Plugin perf-optimizer from marketplace xianix-plugins-official in xianix-team/plugins-official. Commands read from the repo's manifest — 10 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
analyze-performanceRun a whole-codebase performance analysis against the default branch and write the compiled report to performance-report.md without opening a pull request. Use this skill for local diagnostics, dry runs, or CI jobs that only need the report artifact. Usage /analyze-performance [--scope <path>] [--ta
create-perf-prOpen a single performance optimization pull request for a GitHub issue or Azure DevOps work item. Runs the whole-codebase analysis against the default branch, applies only Quick-win findings, and opens one PR whose body embeds the full performance report. Usage (GitHub) /create-perf-pr issue <issue-
/perf-optimizer:perf-optimizeRun a whole-codebase performance bottleneck analysis against the repository's default branch and open a single pull request containing focused low-risk optimizations and the embedded performance report. Issue-driven on GitHub (label an issue with ai-dlc/perf/optimize), Azure DevOps (tag a work item
cpu-analyzerCPU hotspot analyzer. Identifies costly loops, repeated heavy computation, and inefficient algorithms on critical paths across the scoped file set on the repository's default branch. Use for code that touches transformation pipelines, searching/ranking, rendering, serialization, or any tight loop.
io-query-analyzerI/O and query efficiency analyzer. Identifies N+1 queries, repeated remote calls, blocking I/O, and missing batching or caching opportunities across the scoped file set on the repository's default branch. Use for code that touches repositories, ORMs, raw SQL, external API clients, file I/O, or servi
latency-analyzerLatency-focused performance analyzer. Identifies slow request paths, expensive synchronous chains, and high tail-latency patterns across the scoped file set on the repository's default branch. Use for code that touches HTTP handlers, controllers, middleware, queue consumers, cross-service calls, or
memory-analyzerMemory pressure analyzer. Identifies excess allocations, retention-prone structures, and avoidable object churn across the scoped file set on the repository's default branch. Use for code that touches hot paths, caches, long-lived collections, streaming pipelines, or large-buffer handling.
orchestratorPerformance Optimizer orchestrator. Coordinates latency, CPU, memory, and I/O analyzers across the whole codebase on the repository's default branch, compiles a ranked bottleneck report, hands Quick-win findings to the perf-pr-author sub-agent, and ensures a single pull request with the embedded rep
perf-pr-authorOpens the single performance optimization pull request. Takes the Quick-win findings from the orchestrator, creates a new branch from the default branch, applies the change(s) as commits, pushes the branch, and opens a pull request. Issue/work-item runs apply the full Quick-wins batch and embed the
bash ${CLAUDE_PLUGIN_ROOT}/hooks/validate-prerequisites.sh
bash ${CLAUDE_PLUGIN_ROOT}/hooks/notify-push.sh
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