Applied AI
Official@applied-artificial-intelligence · United States of America
We enable leaders and organizations to succeed with AI.
Agent Skills by Applied AI
Showing 11 vetted skills indexed across 1 GitHub repositories.
applied-artificial-intelligenceshared-setup-patterns
Consolidate security hooks, framework templates, and auto-detection into project setup scaffolding.
applied-artificial-intelligenceproject-setup
Scaffold Claude Code project infrastructure with .claude directories and CLAUDE.md templates.
applied-artificial-intelligenceplain-language
Rewrite content in plain language for general audiences.
applied-artificial-intelligencepyramid-principle
Organize documents into top-down pyramid structures with conclusions stated first.
applied-artificial-intelligencescqa-framework
Apply the SCQA framework to structure complex topics in Markdown.
applied-artificial-intelligencerag-implementation
Design and implement Retrieval-Augmented Generation pipelines with vector stores, chunking, and hybrid search.
applied-artificial-intelligencellm-evaluation
Evaluate LLM applications with automated metrics and LLM-as-judge scoring.
applied-artificial-intelligencehuggingface-transformers
Load, tokenize, fine-tune, and deploy Hugging Face Transformers models in Python.
applied-artificial-intelligenceapi-authentication
Implement JWT, OAuth 2.0, API key, and session-based authentication patterns.
applied-artificial-intelligencesql-optimization
Diagnose slow SQL queries by analyzing execution plans and recommending indexing strategies.
applied-artificial-intelligencedocker-optimization
Optimize Docker images with multi-stage builds, layer caching, and security hardening.
Frequently Asked Questions About Applied AI
FAQPage SchemaWhat specific tasks can be performed using these technical patterns?▼
These patterns enable the implementation of Retrieval-Augmented Generation pipelines, the fine-tuning of Hugging Face models, the optimization of SQL execution plans, and the hardening of containerized environments. Additionally, they provide standardized scaffolding for project documentation and authentication security.
Which personas benefit most from these technical methodologies?▼
These methodologies are designed for machine learning engineers, database administrators, and technical leads. They provide the necessary frameworks for those responsible for deploying production-ready models, managing high-performance database queries, and maintaining secure, standardized project infrastructure.
What are the prerequisites for implementing these project setup patterns?▼
Implementation requires a foundational understanding of containerization, SQL execution analysis, and authentication protocols like OAuth 2.0. Users should have an existing environment configured for model deployment and be familiar with Markdown-based documentation standards to effectively utilize the provided scaffolding templates.