Organizations need systematic ways to record and categorize expense receipts for accurate financial tracking. This skill provides documented workflows for manual receipt entry, OCR scanning integration, and database patterns for managing expense records in MySQL.

Receipt scanning requires accurate OCR extraction and database integration. This skill provides complete guidance for parsing receipt images, debugging extraction errors, and building reliable expense tracking workflows with Google Gemini AI.

Need to build financial models or analyze spreadsheet data? This skill creates Excel files with formulas, formatting, and data analysis. It recalculates formulas automatically to ensure accuracy.

ML models often fail in production due to data leakage, improper evaluation, and training mistakes. This skill detects over 30 critical antipatterns and helps prevent invalid results by scanning your code and data splits before training.

Manual database changes break team collaboration and risk data loss. This skill provides structured guidance for safe schema migrations using Prisma and Drizzle with rollback support and CI/CD integration.

Build custom, interactive data visualizations without relying on pre-made chart libraries. This skill guides you through creating responsive charts, graphs, and geographic maps using D3.js for maximum flexibility and control.

Understanding data modeling patterns is critical for building maintainable AI agent frameworks. This skill provides structured analysis of typing strategies, mutation patterns, and serialization approaches to make informed architectural decisions.

Technical teams need structured frameworks to compare multiple tools objectively when making architectural decisions. This skill synthesizes analysis outputs into decision matrices with clear recommendations and documented trade-offs for any framework comparison.

Building production-ready ML models requires complex distributed training infrastructure. This skill automates the entire pipeline from architecture design to cloud deployment using Flow Nexus platform.

Building self-learning agents requires tracking experiences and improving decision-making over time. This skill provides ReasoningBank adaptive learning patterns using AgentDB's high-performance vector database for 150x faster pattern retrieval and memory management.

ML training often fails with unclear causes. This skill spawns a specialist agent that systematically analyzes training logs, loss curves, and model code to identify root causes like learning rate issues, mode collapse, or architecture problems.

Transform ML research into production code. Get expert implementation of neural architectures, training pipelines, and performance optimizations with comprehensive testing and validation.

Traditional vector databases are slow and memory-intensive. AgentDB delivers 150x faster semantic search with sub-millisecond query times and 4-32x memory reduction through advanced quantization. Build RAG systems, semantic search engines, and intelligent knowledge bases with ease.

Vector databases consume massive memory and suffer slow searches at scale. This skill provides proven optimization techniques including quantization, HNSW indexing, and caching to achieve 150x-12,500x performance improvements while reducing memory usage by 4-32x.

AI agents lose context between sessions, making them ineffective for long-term tasks. This skill provides AgentDB integration patterns for session memory, long-term storage, and pattern learning so agents remember interactions and improve over time.

Building self-learning AI agents requires implementing complex reinforcement learning algorithms from scratch. AgentDB Learning Plugins provides ready-to-use access to nine proven algorithms including Decision Transformer and Q-Learning, enabling you to train autonomous agents that improve through experience.

Build sophisticated multi-agent AI systems with sub-millisecond database synchronization and advanced search capabilities. AgentDB Advanced Features enables distributed vector databases with custom metrics, hybrid search, and QUIC networking for production-scale AI applications.

Tracking user behavior is essential for product insights, but implementing analytics incorrectly can expose sensitive user data. This skill guides you through secure Mixpanel implementation with built-in PII protection and code review processes.

This skill provides documented commands for the Supabase CLI. You can manage Supabase projects, databases, migrations, Edge Functions, and storage directly from your AI assistant without switching context.

Database migrations using Flyway require conversion for online schema changes. This skill transforms standard SQL migration scripts into OSC format for zero-downtime deployments.