Stats
Actions
Available In
Tags
Plugin
antigravity-bundle-llm-application-developer
Accelerate LLM application development with production-ready patterns for context window management, RAG pipelines, prompt caching, observability via Langfuse, and agent architectures.
What's Inside
Skills5
context-window-management
/context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot
langfuse
/langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.
llm-app-patterns
/llm-app-patterns
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.
prompt-caching
/prompt-caching
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation)
rag-implementation
/rag-implementation
RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.
Stats
Version11.3.0
Released
LanguagePython
Stars37,904
Forks6,202
Copy clicks1
MaintenanceExcellent
LicenseMIT
Last Commit
Added
