AI Foundry Core
Official@ai-foundry-core
Offers standardized architectural patterns, security compliance frameworks, and enterprise-grade development templates for scalable software engineering and product lifecycle management.
Agent Skills by AI Foundry Core
Showing 161 vetted skills indexed across 1 GitHub repositories.
AI-Foundry-Corestripe-integration
Integrate Stripe Checkout, subscriptions, and webhooks for payment processing.
AI-Foundry-Corebilling-automation
Automate subscription billing, invoicing, and dunning workflows across plans and regions.
AI-Foundry-Corepaypal-integration
Integrate PayPal payments with Express Checkout, subscriptions, and IPN handling.
AI-Foundry-Corepci-compliance
Implement PCI DSS controls for tokenization, encryption, and audit logging.
AI-Foundry-Coreresponsive-design
Design mobile-first web layouts with container queries and fluid typography.
AI-Foundry-Coremobile-ios-design
Provide iOS design guidance using Human Interface Guidelines and SwiftUI patterns.
AI-Foundry-Coredesign-system-patterns
Provide design tokens, theming infrastructure, and component architecture patterns.
AI-Foundry-Coreweb-component-design
Standardizes UI component patterns across React, Vue, and Svelte for design systems.
AI-Foundry-Corereact-native-design
Provide styling, navigation, and animation patterns for React Native apps.
AI-Foundry-Coreaccessibility-compliance
Audit and enforce WCAG 2.2 accessibility compliance for web and mobile UI components.
AI-Foundry-Coreinteraction-design
Design and implement microinteractions, motion, and feedback patterns for web and mobile interfaces.
AI-Foundry-Corevisual-design-foundations
Codify visual systems with typography, color, spacing, and iconography tokens.
AI-Foundry-Coremobile-android-design
Implement Material Design 3 Android interfaces with Jetpack Compose.
AI-Foundry-Coreml-pipeline-workflow
Orchestrate end-to-end MLOps pipelines from data ingestion through deployment.
AI-Foundry-Coreapi-design-principles
Design RESTful and GraphQL API patterns with schema, versioning, and error handling guidance.
AI-Foundry-Corearchitecture-patterns
Automate backend architecture decisions using Clean, Hexagonal, and Domain-Driven Design patterns.
AI-Foundry-Coreevent-store-design
Design event stores for event-sourced systems across PostgreSQL, EventStoreDB, DynamoDB, Kafka, and Marten.
AI-Foundry-Coremicroservices-patterns
Decompose monoliths into microservices with defined boundaries and contracts.
AI-Foundry-Coreworkflow-orchestration-patterns
Design durable Temporal workflows with saga, entity, and fan-out patterns.
AI-Foundry-Coresaga-orchestration
Coordinate distributed transactions across services with compensating actions and error handling.
AI-Foundry-Coreprojection-patterns
Project event streams into read models for CQRS and analytics.
AI-Foundry-Coretemporal-python-testing
Test Temporal Python workflows deterministically with pytest and time-skipping.
AI-Foundry-Corecqrs-implementation
Apply CQRS to separate read and write models with commands, queries, and projections.
AI-Foundry-Coreon-call-handoff-patterns
Standardize on-call shift handoffs with templates, checklists, and escalation guidelines.
Frequently Asked Questions About AI Foundry Core
FAQPage SchemaWhat specific technical tasks are enabled by these patterns?▼
These patterns enable structured implementation of distributed transactions, event-sourced data stores, secure payment integrations, and standardized CI/CD deployment pipelines across cloud environments.
Which engineering personas benefit from these templates?▼
Software architects, security engineers, and product managers utilize these templates to enforce consistency in system design, threat modeling, and feature prioritization across complex enterprise projects.
What are the prerequisites for implementing these architectural patterns?▼
Implementation requires familiarity with domain-driven design, distributed system concepts, and specific infrastructure components like PostgreSQL, Kubernetes, or cloud-native secret management services.