Agents lose all state when sessions end without persistent memory. This skill provides architectural patterns for layered memory systems that enable cross-session learning, entity tracking, and temporal knowledge graphs for time-aware reasoning.

Agent systems lack reliable quality measurement. This skill provides structured evaluation frameworks with multi-dimensional rubrics, test set design, and production monitoring to measure agent performance systematically.

AI agents degrade as context grows larger. This skill provides patterns to recognize, measure, and fix degradation before it affects your results. Use it to build resilient systems that handle long conversations reliably.

Excel files with formulas lose their calculated values when edited programmatically. This skill provides tools to create, modify, and recalculate Excel spreadsheets while preserving formula integrity and detecting errors.

Processing large datasets manually requires many tokens and risks errors. This skill provides reusable patterns for filtering, mapping, aggregating, and transforming array data in code, reducing token usage while ensuring consistent results.

Designing database schemas from scratch or optimizing existing ones is complex. This skill provides proven patterns for normalization, indexing, migrations, and performance optimization across SQL and NoSQL databases.

Financial modeling requires complex calculations and scenario testing. This skill automates DCF valuations, sensitivity analysis, and Monte Carlo simulations for accurate investment decisions.

This skill calculates key financial ratios from balance sheets, income statements, and cash flow data. It provides investment analysis with industry benchmarks and actionable recommendations.

You need a map API wrapper to search locations and plan routes across China. This skill connects to the Amap Web Service API to find points of interest and calculate driving, walking, cycling, and transit directions with shareable map links.

Marketing teams need to quantify campaign effectiveness across multiple platforms. This skill calculates engagement rates, ROI, and cost efficiency metrics to deliver data-backed optimization recommendations.

Generic prompts produce inconsistent AI responses. This skill provides proven patterns and optimization tools for production-grade LLM interactions. Transform vague requests into precise, reliable outputs using chain-of-thought, few-shot learning, and structured prompting techniques.

Building ML pipelines requires expertise in model deployment, monitoring, and MLOps practices. This skill provides production-ready tools for deploying ML models, integrating LLMs, and building scalable RAG systems with enterprise-grade reliability.

Design rigorous A/B tests and experiments with proper statistical power analysis. Build production-ready predictive models using proven feature engineering techniques and machine learning frameworks.

Create enterprise-grade computer vision solutions with object detection, image segmentation, and real-time video analysis. This skill provides expert guidance on PyTorch, OpenCV, YOLO, and vision transformers for production deployment.

Duplicate images waste storage space and bias machine learning models. This skill uses deep learning embeddings to identify and remove exact duplicates and near-duplicate images from FiftyOne datasets. It automates the detection process and helps you clean datasets before training.

Understanding complex image datasets requires seeing how samples relate in embedding space. This skill guides you through computing embeddings and using UMAP or t-SNE to create 2D visualizations that reveal clusters, outliers, and class distributions in your FiftyOne datasets.

Users struggle to extend the FiftyOne computer vision platform with custom functionality. This skill provides step-by-step guidance for building operators and panels that integrate seamlessly with the FiftyOne App.

Loading local media files into FiftyOne and running ML model inference requires understanding dataset creation, label imports, and model application. This skill provides step-by-step guidance for creating datasets, importing labels in standard formats, and applying zoo models for detection, classification, and segmentation tasks.

Dataset import often requires manual format detection and configuration. This skill auto-detects media types, label formats, and sensor groupings to create properly structured FiftyOne datasets.

Database management requires deep knowledge of SQL patterns and Supabase features. This skill provides expert guidance for creating tables, writing migrations, configuring RLS policies, and troubleshooting database issues with confidence.