Data Science & ML Agent Skills

SSW Solar Data Preprocessing

Transforms raw SDO/AIA solar observation data into standardized, ML-ready formats through automated calibration and registration pipelines.

Autonomous Agent Architect

Architects reliable, production-ready AI agent workflows using constrained loops and proven reliability patterns.

Normal Distribution Thinking Pattern

Analyzes and applies Gaussian statistical patterns to data for improved prediction, quality control, and anomaly detection.

Groq & Ollama AI Bridge

Enables high-speed chat completions via Groq Cloud and local text embeddings through Ollama for efficient RAG workflows.

Bayesian Updating

Refines confidence in hypotheses and technical decisions by systematically weighting prior beliefs against new evidence.

Excel Interactive Agent

Enables Claude to interactively explore, analyze, and modify open Microsoft Excel workbooks using natural language commands.

Production Python Developer

Develops production-grade Python code with a focus on type safety, fail-fast logic, and rigorous testing for research environments.

Excel & Spreadsheet Management

Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.

SSW Solar Machine Learning

Develops and deploys deep learning models for solar physics using preprocessed Sun and Space Weather data.

Training Loop Patterns

Implements production-grade deep learning training loops using battle-tested architectural patterns for optimized performance and stability.

Availability Heuristic Thinking Pattern

Mitigates cognitive bias in decision-making by prioritizing statistical base rates over vivid, anecdotal evidence.

GEPS v5: Evolutionary Portfolio Search

Automates multi-stage research idea generation and evaluation using graph-guided search and tournament-style ranking.

Apophenia Pattern Validator

Prevents flawed decision-making by identifying and debunking illusory patterns or spurious correlations in data and observations.

ML Model Selection Framework

Guides the selection of optimal machine learning algorithms by analyzing problem structure, data properties, and production constraints.

Geohash Coloring Skill

Implements hierarchical spatial indexing with deterministic GF(3) color derivation for geospatial analysis and visualization.

Pegasus Workflow Converter

Converts Snakemake and Nextflow pipelines into robust Pegasus workflows for high-performance computing environments.

Solar Data Downloader

Downloads solar observation data from SDO, STEREO, and Solar Orbiter missions for scientific analysis and machine learning.

Bayes' Theorem Analysis

Refines probability estimates and decision-making by systematically updating beliefs as new data or evidence emerges.

Monte Carlo Simulation

Quantifies uncertainty and assesses risk distributions by running thousands of probabilistic scenarios with random variable inputs.

Ground Truth Labeling

Establishes rigorous and defensible ground truth labels for evaluation datasets based on authoritative guidelines.

OpenAI Whisper Transcription

Transcribes audio and video files locally using the OpenAI Whisper CLI without the need for an API key.

Multi-Agent System Optimizer

Optimizes multi-agent AI systems through intelligent coordination, performance profiling, and cost-aware orchestration.

Stable Baselines3 Reinforcement Learning

Implements and optimizes reinforcement learning workflows using the Stable Baselines3 PyTorch library.

Gödel Machine Self-Optimizer

Implements self-improving code architectures that use formal proofs and evolutionary search to safely enhance system utility.