vamseeachanta Ai Prompting
Overview
This library contains 5 production-ready skills for building LLM-powered applications, optimizing prompts, and integrating AI into data workflows. Each skill covers a specific aspect of AI application development with patterns for reliability, evaluation, and scaling. Skills follow the Anthropic Skills format with practical examples from real-world AI implementations.
Quick Start
# Browse available skills
ls skills/ai-prompting/
# Read a skill
cat skills/ai-prompting/langchain/SKILL.md
# Skills are documentation - implement patterns in your AI applications
Version History
- 1.0.0 (2026-01-17): Initial release with 5 AI prompting skills
These skills represent patterns refined across production LLM applications processing millions of queries with optimized cost and quality.
Sub-Skills
- 1. Version Control Prompts (+3)
Sub-Skills
- Available Skills
- Application Frameworks (+2)
- Choose langchain when: (+4)
- LangChain RAG Pipeline (+4)
- RAG Architecture (+2)
- Structured Output (+2)
- Integration with Workspace-Hub
- Testing AI Applications
- Related Resources