Blockify Agentic Data Optimization — Data skill for Claude Code
Blockify: Agentic data optimization for enterprise RAG and agentic search.
How to install Blockify Agentic Data Optimization
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open patchy631/blockify-agentic-data-optimization and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Blockify Agentic Data Optimization does
Blockify: Agentic data optimization for enterprise RAG and agentic search. Blockify replaces naive chunking with deduplicated IdeaBlocks — ≈78X accuracy aggregate improvement, 2.29X vector search accuracy, 40X compression, 3.09X token efficiency. Integrates with LlamaIndex, LangChain, Obsidian, Milvus, Elastic, Supabase, Cloudflare.
Alternatives in Data
- Private GPT — Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more 57.5k ★
- OpenViking — Self-evolving Context Database for AI Agents 33.3k ★
- HTML Anything — ✨ The agentic HTML editor — your local AI agent writes the HTML, you ship it 8.5k ★
README
Transform messy enterprise content into compact, validated knowledge units optimized for AI
Patented data ingestion, distillation, and governance pipeline. IdeaBlocks replace naive chunking with structured, deduplicated, LLM-ready knowledge.
78X Aggregate Performance · 2.29X Vector Search Accuracy · 29.93X Distillation · 3.09X Token Efficiency · 40X Size Reduction
Transformer-based NLP extraction pipeline achieving 95%+ accuracy on unstructured documents. Implements multi- Full agentic RAG pipeline: adaptive chunking → Qdrant hybrid search (semantic + BM25 + RRF) → LangGraph ReAct 💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, re Materials and code from USC Economics Department AI workshops (Spring 2026). Hands-on sessions on GPT for data 🧬 Agentic Clinical Trial Match — An AI MVP bridging legacy health data & research protocols. Uses LangGraph f Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prom GAIA RAG and agentic-retrieval specialist. Use PROACTIVELY for RAG pipeline work, document indexing, embedding Production-grade Python RAG backend engineer specializing in ChromaDB vector storage, sentence-transformers em Use this agent when researching Mozilla user experience data. Queries three sources — SUMO/Kitsune forum threa
Related Skills
NLP Mir
Data community
Docwise Agentic
Data community
FRED Data Analysis
Data community
Usc Econ AI Workshop
Data community
G CLI Agent ClinicalTrialMatching
Data community
Agent Loop Skills
Data community
Related Agents
RAG Specialist
Development community
Python RAG Backend Engineer
Development community
Cx RAG Researcher
Data & AI community