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AJBcoding AI Skills

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Explorez les skills IA publiés de AJBcoding et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

144

Étoiles des dépôts des skills indexés

432

Forks du dépôt

0

Moyenne des étoiles par skill indexé

3

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

144 skills

Explorer

GitHub

moai-lang-swift

AJBcoding

Swift 6.0 enterprise development with async/await, SwiftUI, Combine, and Swift Concurrency. Advanced patterns for iOS, macOS, server-side Swift, and enterprise mobile applications with Context7 MCP integration.

GitHub

moai-baas-railway-ext

AJBcoding

Enterprise Railway Full-Stack Platform with AI-powered container orchestration, Context7 integration, and intelligent deployment automation for scalable modern applications

GitHub

moai-lang-csharp

AJBcoding

Enterprise C# 13 development with .NET 9, async/await, LINQ, Entity Framework Core, ASP.NET Core, and Context7 MCP integration for modern backend and enterprise applications.

GitHub

moai-alfred-practices

AJBcoding

Enterprise practical workflows, context engineering strategies, JIT (Just-In-Time) retrieval optimization, real-world execution examples, debugging patterns, and moai-adk workflow mastery; activates for workflo...

GitHub

job-description-analysis

AJBcoding

Analyze job postings for requirements, culture, and values - outputs structured analysis matching lexicon categories for comparison and gap analysis

GitHub

moai-alfred-agent-factory

AJBcoding

Agent Factory master skill for intelligent Claude Code agent generation. Includes requirement analysis, domain detection, model selection, template system, validation framework, and advanced features. Contains...

GitHub

moai-domain-ml

AJBcoding

Enterprise Machine Learning specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master AutoML, neural architecture search, MLOps automation, and production ML deployment. Build sca...

GitHub

moai-internal-comms

AJBcoding

AI-powered enterprise internal communications orchestrator with Context7 integration, intelligent content generation, automated workflow optimization, multi-format support (reports, newsletters, FAQs), and ente...

GitHub

moai-baas-auth0-ext

AJBcoding

Enterprise Auth0 Identity Platform with AI-powered authentication architecture, Context7 integration, and intelligent identity orchestration for scalable enterprise SSO and compliance

GitHub

moai-change-logger

AJBcoding

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-baas-vercel-ext

AJBcoding

Enterprise Vercel Edge Platform with AI-powered modern deployment, Context7 integration, and intelligent edge orchestration for scalable web applications

GitHub

moai-lang-shell

AJBcoding

Enterprise Shell scripting with Bash 5.2, ShellCheck, bats-core testing, POSIX compliance, and Context7 MCP integration for defensive scripting patterns.

GitHub

creating-karabiner-modifications

AJBcoding

Use when configuring Karabiner-Elements keyboard customizations, before writing JSON - provides systematic workflow for complex modifications with correct structure, common patterns, and guidance on manual vs g...

GitHub

moai-mcp-builder

AJBcoding

Enterprise MCP (Model Context Protocol) server development using FastMCP 2.0 with production-grade tools, resources, prompts, and intelligent agent-first design. Use when building MCP servers, integrating with...

GitHub

moai-design-systems

AJBcoding

Design system patterns, W3C DTCG 2025.10 token architecture, WCAG 2.2 accessibility standards, and Figma MCP workflows for consistent, accessible UI development

GitHub

moai-alfred-ask-user-questions

AJBcoding

Enterprise interactive survey orchestrator with AskUserQuestion tool integration, multi-select support, conditional branching, error recovery, and production-grade decision automation across all Alfred workflow...

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.