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perf-review
Review code for performance issues — complexity, batching, caching, memory, and concurrency.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Review code for performance issues — complexity, batching, caching, memory, and concurrency.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Ruthlessly tear apart code design — naming, abstractions, coupling, complexity, and everything else.
Generate Mermaid diagrams in the README to visualise architecture, flows, or relationships from the codebase.
Analyse test coverage gaps and report uncovered code before making changes.
Run tests, fix failures, and re-run until the suite passes.
Write and improve tests — reuse existing patterns, ensure consistency, and maintain quality.
Isolate a function or code block into a self-contained, runnable script for study and manual testing.
| name | perf-review |
| description | Review code for performance issues — complexity, batching, caching, memory, and concurrency. |
| argument-hint | <files> [instructions] |
| user-invocable | true |
| disable-model-invocation | true |
| context | fork |
| agent | Explore |
| allowed-tools | Read, Grep, Glob |
Analyse the specified files for performance issues and provide actionable improvement suggestions.
Files and instructions: $ARGUMENTS
The arguments are free-form and flexible. They may contain:
@file.ts, file.py, main.go, utils.go, script.sh handler.rbParse the arguments to identify which files to review and what additional instructions apply. When additional instructions reference related files (e.g. imports, dependents), follow those instructions to identify and review those files as well.
/perf-review @service.ts @handler.ts — review these two files/perf-review utils.py, helpers.py — comma-separated, no @ prefix/perf-review @app.go and also review the files it imports — review with extended scope/perf-review @api.ts focus only on database query performance — targeted review/perf-review @processor.rb we're seeing high memory usage in production — review with context