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moai-domain-ml
Machine learning model training, evaluation, deployment, and MLOps workflows.
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Explorez des skills pour le développement, le contenu, les données et la productivité. Comparez les descriptions et dépôts.
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GitHub
moai-alfred-todowrite-pattern
TodoWrite auto-initialization patterns from Plan agent, task tracking best practices, status management.
GitHub
moai-tag-policy-validator
Comprehensive TAG system validator and policy enforcer that monitors, validates, and corrects TAG usage across code, tests, and documentation. Use when ensuring TAG compliance, validating TAG policy violations,...
GitHub
moai-lang-python
Python best practices with modern frameworks, AI/ML integration, and performance optimization for 2025
GitHub
moai-change-logger
Comprehensive change tracking and audit logging system that monitors file modifications, code changes, and project evolution. Use when tracking project history, maintaining audit trails, analyzing development p...
GitHub
moai-lang-dart
Dart best practices with Flutter mobile development, async programming, and server-side Dart for 2025
GitHub
moai-essentials-debug
Advanced debugging with stack trace analysis, error pattern detection, and fix suggestions. Use when delivering quick diagnostic support for everyday issues.
GitHub
moai-lang-php
PHP 8.4+ best practices with PHPUnit 11, Composer, PSR-12 standards, and web frameworks (Laravel, Symfony).
GitHub
moai-essentials-perf
Performance optimization with profiling, bottleneck detection, and tuning strategies.
GitHub
moai-domain-database
Database design, schema optimization, indexing strategies, and migration management.
GitHub
moai-lang-csharp
C# best practices with .NET 8, ASP.NET Core, Entity Framework, and modern async programming for 2025
GitHub
moai-lang-cpp
C++23 best practices with Google Test 1.15, clang-format 19, and modern C++ standards.
GitHub
moai-cc-skill-factory
Create and maintain high-quality Claude Code Skills through interactive discovery, web research, and comprehensive description writing standards. Use when building new Skills, researching latest best practices,...
GitHub
moai-alfred-rules
Mandatory rules for Skill invocation, AskUserQuestion usage, TRUST principles, TAG validation, and TDD workflow. Use when validating workflow compliance, checking quality gates, enforcing MoAI-ADK standards, or...
GitHub
moai-cc-memory
Managing Claude Code Session Memory & Context. Understand session context limits, use just-in-time retrieval, cache insights, manage memory files. Use when optimizing context usage, handling large projects, or...
GitHub
moai-alfred-expertise-detection
Guide Alfred to detect user expertise level (Beginner/Intermediate/Expert) through in-session behavioral signals without memory file access
GitHub
moai-essentials-refactor
Refactoring guidance with design patterns and code improvement strategies.
GitHub
moai-lang-ruby
Ruby 3.4+ best practices with RSpec 4, RuboCop 2, Bundler, and Rails 8 patterns.
GitHub
moai-project-language-initializer
Handle comprehensive project language and user setup workflows including language selection, agent prompt configuration, user profiles, team settings, and domain selection
GitHub
moai-foundation-git
GitFlow automation and PR policy enforcement for MoAI-ADK workflows.
GitHub
moai-domain-data-science
Data analysis, visualization, statistical modeling, and reproducible research workflows.
GitHub
moai-learning-optimizer
Intelligent learning system optimizer that analyzes session patterns, identifies improvement opportunities, and continuously enhances Alfred's performance through adaptive learning and knowledge optimization. U...
GitHub
moai-alfred-agent-guide
19-agent team structure, decision trees for agent selection, Haiku vs Sonnet model selection, and agent collaboration principles. Use when deciding which sub-agent to invoke, understanding team responsibilities...
GitHub
moai-alfred-practices
Practical workflows, context engineering strategies, and real-world execution examples for MoAI-ADK. Use when learning workflow patterns, optimizing context management, debugging issues, or implementing feature...
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.