NeVibeCode · 11 items
retrieval: skills and plugins
Cards tagged “retrieval”: skills and plugins. What each one does, an install command and example prompts.
iterative-retrieval skill This skill lays out a four-phase loop that narrows context retrieval so a subagent gets the files it needs instead of the whole repo. Useful when an agent reports missing context.
CX Codex +1
4,500installs
agentmemory-architecture skill A skill that walks through the agentmemory server: the iii engine, storage model, ports and viewer. Useful when you extend it or debug recall.
CX Codex +1
10,700installs
rag-engineer skill A skill for designing retrieval-augmented generation systems with vector databases. Covers semantic chunking, embedding model selection, and search quality optimization before results reach the LLM.
CX Codex +1
1,000installs
wiki-query skill Answers a question from a chosen Obsidian vault and leaves every file in it untouched. Handy when the vault itself is the evidence source.
CX Codex +1
462installs
rag-architect skill Design a RAG pipeline around your documents, then measure retrieval quality. Use it to explore chunking strategies, embeddings, or vector databases.
629installs
nemotron-retrieval-recipes skill Helps plan, debug, tune, export, and deploy public NVIDIA Nemotron embedding and reranking retrieval recipes. Useful for fixing recall and ranking issues in search pipelines.
CX Codex +1
2,000installs
evaluate-rag skill Guides separate evaluation of RAG retrieval and generation, metric selection, and document chunking tests.
CX Codex +1
970installs
tao-finetune-cosmos-embed skill Configures Docker runs for Cosmos-Embed1 inside NVIDIA TAO, enabling text-to-video retrieval, model fine-tuning, evaluation, and artifact exports.
CX Codex +1
1,600installs
rag skill Guides the creation of Retrieval-Augmented Generation pipelines, covering document chunking, embedding generation, vector database selection, and retrieval.
CX Codex +1
3,700installs
rag-engineer skill A skill for designing RAG systems: document chunking, embeddings, hybrid search and reranking. Useful when answer quality is capped by retrieval quality.
273installs
foundry-iq-skills plugin Builds Foundry IQ knowledge bases from files, Azure Blob or ADLS Gen2, checks that retrieval works, and wires the base into an agent.
★ 3,148repo stars
