codex-complexity-optimizer
Kappaemme-git/codex-complexity-optimizer
Analyzes software codebases for algorithmic complexity and performance bottlenecks, generating detailed optimization reports or implementing safe code improvements.
Overview
This skill acts as a specialized performance auditor for software codebases. It scans multi-language code for inefficient loops, N+1 queries, nested iterations, and rendering churn, estimating complexity changes (e.g., O(n^2) to O(n log n)) and prioritizing safety through comprehensive testing and verification checklists.
Capabilities
- ▸Static analysis for performance hotspots using a bundled scanner script
- ▸Algorithmic complexity estimation and comparison (before/after)
- ▸Safe, conservative code refactoring preserving existing behavior and tests
- ▸Identification of rendering churn, unnecessary recomputations, and database query anti-patterns
Best for
Auditing a repository for performance hotspots and algorithmic inefficiencies, Generating a comprehensive complexity and risk report without modifying files, Implementing safe, targeted optimizations like reducing N+1 queries or replacing repeated linear lookups
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Executes local analysis scripts against code repositories. Does not upload code externally unless configured by the host agent environment.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.