Data Science & ML Agent Skills

AgentDB Learning

Implements and trains reinforcement learning algorithms to create self-improving autonomous agents using the AgentDB plugin system.

Flow Nexus Neural

Trains and deploys custom neural network architectures across distributed sandbox environments.

Local Offline TTS

Generates high-quality speech from text locally using Sherpa-ONNX models without requiring cloud connectivity.

Statistical Analysis

Applies advanced statistical methods to analyze data distributions, detect trends, and validate hypotheses with scientific rigor.

Data Visualization & Charting

Generates professional, accessible, and insightful data visualizations using Python's leading charting libraries like Matplotlib and Seaborn.

Nextflow Bioinformatics Pipelines

Automates the deployment and management of nf-core bioinformatics pipelines for genomic data analysis.

Single-Cell RNA-seq QC

Automates quality control and filtering for single-cell RNA sequencing data following scverse and scanpy best practices.

User Research Synthesis

Synthesizes raw qualitative and quantitative research into actionable product insights and prioritized opportunity areas.

Data Context Extractor

Generates tailored data analysis skills by capturing tribal knowledge, schema details, and business metrics from analysts.

Data Exploration & Profiling

Profiles datasets and assesses data quality to discover patterns and understand schemas before analysis.

Data Validation & QA

Validates data analysis methodology, accuracy, and documentation to ensure high-quality, reproducible insights for stakeholders.

Lab Instrument Data Converter

Standardizes laboratory instrument data by converting various file formats into the Allotrope Simple Model (ASM) for LIMS and downstream analysis.

Single-Cell Deep Learning (scvi-tools)

Performs advanced deep learning analysis for single-cell genomics using the scvi-tools framework.

Imaging Data Commons Access

Queries and downloads large-scale public cancer imaging datasets from the NCI Imaging Data Commons using Python and SQL.

FRED Economic Data

Queries the FRED API for over 800,000 economic time series to support macroeconomic research and financial analysis.

Book SFT Pipeline

Automates the end-to-end process of converting literary works into high-quality datasets for fine-tuning AI models on specific authorial voices and writing styles.

Context Engineering & Optimization

Optimizes AI context window usage through strategic compression, observation masking, and partitioning to improve performance and reduce costs.

Context Engineering Fundamentals

Provides foundational principles and implementation patterns for managing language model context windows and attention mechanics in AI agent systems.

Context Compression Manager

Optimizes AI agent token usage through advanced context summarization and structured information preservation.

Memory Systems

Design and implement sophisticated agent memory architectures, from vector stores to temporal knowledge graphs, for cross-session persistence.

Multi-Agent Patterns

Designs and implements sophisticated multi-agent architectures for Claude Code by optimizing context isolation and coordination strategies.

Advanced LLM Evaluation

Implements sophisticated LLM-as-a-judge frameworks and evaluation rubrics to ensure production-grade quality and bias mitigation.

BDI Mental State Modeling

Models autonomous agent behaviors using Belief-Desire-Intention (BDI) architecture and formal cognitive ontologies.

Context Degradation Diagnostics

Diagnoses and mitigates context-related failures in agent systems to ensure reliable performance across large context windows.

Project Development Methodology

Guides the architectural design, evaluation, and implementation of LLM-powered applications and agent systems.

Kreuzberg Document Intelligence

Extracts structured text, metadata, and tables from over 75 document formats using a high-performance Rust core.

K-Dense Web Integration

Connects Claude to the K-Dense Web platform for advanced, end-to-end scientific research workflows and multi-agent AI collaboration.

Rowan: Quantum Chemistry & Molecular Simulation

Automates advanced quantum chemistry workflows and protein-ligand modeling using a cloud-based Python API.

MATLAB & Octave Scientific Computing

Performs advanced numerical computing, matrix operations, and scientific visualizations using MATLAB and GNU Octave syntax.

Atomic Agents Schema Designer

Defines robust, type-safe data contracts and Pydantic-based schemas for AI agents using the Atomic Agents framework.