Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.
Handles GitHub pull request review comments. Use when asked to fix review comments, address PR feedback, or resolve review threads. Fetches comments via GitHub CLI, fixes issues in code, replies to reviewers, a...
Maintains synchronized project context for long-running work across sessions. Use when: starting a session (read context), completing significant work (update context), making architectural decisions (document...
ライブラリのEOL状況と互換性要件を確認する。endoflife.dateやnpmからバージョン互換性情報を取得する
npm/yarn/pnpm/bunに対応したパッケージ更新を実行する。Node.jsバージョン管理ツール（mise/nvm/asdf）にも対応
GitHubや公式ドキュメントからライブラリのリリース情報を取得し、破壊的変更・非推奨化・ビルトイン化を特定する
lint、test、buildコマンドを実行し、結果を解析する。エラー時は原因分析と修正提案を行う
破壊的変更に基づいてプロジェクト内のコードを検索し、影響を受けるファイルと行を特定する。テストカバレッジも確認する
破壊的変更に対応したコード修正を行う。import文の変更、API呼び出しの修正、設定ファイルの更新を実行
Master reward function design - potential-based shaping, hacking patterns, validation
Use when stakeholders pressure you to change technical priorities and you're tempted to compromise on security-first or call it synthesis - enforces risk-based prioritization over stakeholder preferences
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
Use when cataloging technical debt under time pressure and tempted to explain choices instead of delivering document - enforces execution discipline with scoped delivery patterns for partial catalogs
Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees
Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction
Master DQN, Double DQN, Dueling DQN, Rainbow - value-based methods for discrete actions
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
Master Dyna-Q, MBPO, Dreamer - model-based RL with world models and planning
Validate architecture artifacts against contracts and consistency requirements - codifies systematic validation practices with professional reporting
Generate C4 architecture diagrams from subsystem catalogs - codifies abstraction strategies, notation conventions, and selection criteria
Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
Master A2C, A3C, SAC, TD3 - actor-critic methods for continuous control
Routes to appropriate deep-RL skills based on problem type and algorithm family
Use when assessing codebase architecture and you feel pressure to soften critique, lead with strengths, or frame problems diplomatically - provides evidence-based critical assessment resisting relationship and...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.