Extract structured data from unstructured files (PDF, PPTX, DOCX...)
Implement LlamaExtract for robust structured data extraction from PDF, DOCX, and PPTX files using Pydantic schemas.
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136 skills found
Implement LlamaExtract for robust structured data extraction from PDF, DOCX, and PPTX files using Pydantic schemas.
Access AI-ready datasets, benchmarks, and molecular oracles for drug discovery, including ADME, toxicity, DTI, and molecular generation tasks.
Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Creates well-formed, actionable engineering tasks from requirements using vertical slicing, INVEST principles, and Example Mapping.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.
Synthesize interview transcripts into a structured template including Jobs to Be Done (JTBD), satisfaction signals, and actionable items.
Aggregates and analyzes market sentiment for crypto and stock tickers by scanning news and social signals for quick trading vibe checks.
A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.
Synchronize project documentation with code. Maintains feature specs, API contracts, and READMEs using init-project standards to ensure traceability and completeness.