Find algorithmic complexity and performance hotspots across a codebase, then optimize them safely behind tests without changing behavior. Use when asked to scan for slow code, inefficient or nested loops, repeated scans, costly re-renders or recomputation, N+1 queries, avoidable quadratic work, or to reduce complexity while preserving tests, APIs, ordering, and outputs; or when a request mentions performance hotspots, hot paths, render churn, "this is slow", or "optimize for speed". Fans out across files with Task subagents, ranks findings by impact, proves current behavior with focused tests, applies localized edits, and re-runs the narrow test plus broad type, lint, and build to verify. Defaults to an analysis-only report unless you ask to implement, fix, apply, or refactor.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
Find algorithmic complexity and performance hotspots across a codebase, then optimize them safely behind tests without changing behavior. Use when asked to scan for slow code, inefficient or nested loops, repeated scans, costly re-renders or recomputation, N+1 queries, avoidable quadratic work, or to reduce complexity while preserving tests, APIs, ordering, and outputs; or when a request mentions performance hotspots, hot paths, render churn, "this is slow", or "optimize for speed". Fans out across files with Task subagents, ranks findings by impact, proves current behavior with focused tests, applies localized edits, and re-runs the narrow test plus broad type, lint, and build to verify. Defaults to an analysis-only report unless you ask to implement, fix, apply, or refactor.
Quick start
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Find algorithmic complexity and performance hotspots across a codebase, then optimize them safely behind tests without changing behavior. Use when asked to scan for slow code, inefficient or nested loops, repeated scans, costly re-renders or recomputation, N+1 queries, avoidable quadratic work, or to reduce complexity while preserving tests, APIs, ordering, and outputs; or when a request mentions performance hotspots, hot paths, render churn, "this is slow", or "optimize for speed". Fans out across files with Task subagents, ranks findings by impact, proves current behavior with focused tests, applies localized edits, and re-runs the narrow test plus broad type, lint, and build to verify. Defaults to an analysis-only report unless you ask to implement, fix, apply, or refactor.
About this listing
Category
Engineering
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.