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Data & AI

Python framework with 44 modules for geospatial analysis using active inference, Bayesian modeling, and H3 indexing.

Data & AI

Permanently deletes all session data and knowledge base for context mode, with project or session scope.

Data & AI

Expert in building scalable ML infrastructure and automation pipelines across cloud platforms. Covers the complete MLOps lifecycle including pipeline orchestration, experiment tracking, model versioning, and CI/CD for models. Useful for tasks involving production ML systems, model deployment, and workflow automation.

Data & AI

Comprehensive executive intelligence for the manufacturing industry, covering automotive, aerospace, industrial equipment, and consumer goods. It supports C-suite decisions on strategy, operations, supply chain, and Industry 4.0 transformation.

Data & AI

Guide for choosing training hyperparameters: learning rate formulas, LoRA rank, batch size, schedules, and model-specific tuning.

Data & AI

This skill scans news and upcoming events to identify stock catalysts such as earnings, product launches, or regulatory changes. It helps traders anticipate price movements by categorizing each catalyst's potential impact.

Data & AI

Predict persona performance in specific task contexts.

Data & AI

Skill for restoring and reconstructing project context across distributed AI workflows using semantic vector search and relevance filtering.

Data & AI

Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.

Data & AI

Supplies a comprehensive reference map for DataFusion and DeltaLake APIs, with strict rules to avoid guessing interfaces. Helps navigate local reference files and apply existing patterns in this repository when using these tools.

Data & AI

Run the full skill evolution pipeline: harvest sessions, discover signals, build a golden dataset, evaluate baseline, and optimize with DSPy.

Data & AI

Build and apply lead scoring models combining firmographic fit, behavioral signals, and intent data for sales prioritization.