GitHub
library-release-checker
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
Skills IA Outils
Découvrez les skills Outils, comparez leurs dépôts et consultez leurs instructions.
Catégories: Outils
Outils Effacer les filtres
Explorer
GitHub
test-runner
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
GitHub
code-impact-checker
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
GitHub
code-migrator
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
GitHub
reward-shaping-engineering
Master reward function design - potential-based shaping, hacking patterns, validation
GitHub
prioritizing-improvements
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
GitHub
exploration-strategies
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
GitHub
identifying-technical-debt
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
GitHub
rl-debugging
Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees
GitHub
offline-rl
Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction
GitHub
value-based-methods
Master DQN, Double DQN, Dueling DQN, Rainbow - value-based methods for discrete actions
GitHub
policy-gradient-methods
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
GitHub
model-based-rl
Master Dyna-Q, MBPO, Dreamer - model-based RL with world models and planning
GitHub
validating-architecture-analysis
Validate architecture artifacts against contracts and consistency requirements - codifies systematic validation practices with professional reporting
GitHub
generating-architecture-diagrams
Generate C4 architecture diagrams from subsystem catalogs - codifies abstraction strategies, notation conventions, and selection criteria
GitHub
using-system-archaeologist
Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows
GitHub
rl-environments
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
GitHub
actor-critic-methods
Master A2C, A3C, SAC, TD3 - actor-critic methods for continuous control
GitHub
using-deep-rl
Routes to appropriate deep-RL skills based on problem type and algorithm family
GitHub
assessing-architecture-quality
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...
GitHub
multi-agent-rl
Master QMIX, MADDPG, CTDE - multi-agent learning with coordination and credit assignment
GitHub
analyzing-unknown-codebases
Analyze unfamiliar codebases systematically to produce subsystem catalog entries - emphasizes strict contract compliance and confidence marking
GitHub
rl-foundations
Master RL theory - MDPs, value functions, Bellman equations, value/policy iteration, TD
GitHub
using-system-architect
Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skill...
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.