Data Science & ML Agent Skills

ReasoningBank with AgentDB

Implements high-performance adaptive learning and experience replay for AI agents using the AgentDB vector engine.

Antigravity Context Manager

Orchestrates dynamic AI context, intelligent memory systems, and RAG workflows for enterprise-scale multi-agent applications.

Spark Fundamentals & PySpark

Streamlines distributed data processing by providing standardized PySpark patterns and performance best practices.

Benchmark Report Creator

Orchestrates the creation of publication-quality AI and ML benchmark reports with high-resolution diagrams and professional PDF exports.

Incentive-Based Prompting

Optimizes Claude's output quality using research-backed psychological framing and statistical pattern-matching techniques.

LangGraph Agent Architect

Builds production-grade, stateful AI agents using the LangGraph framework for complex, multi-actor workflows.

Flow Nexus Neural

Trains, deploys, and manages distributed neural networks using E2B sandboxes and custom architectures.

SymPy Symbolic Math

Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.

Prompt Engineering

Transforms vague requirements into precise, effective prompts through a structured framework of systematic analysis and iterative refinement.

AgentDB Learning

Trains and deploys self-learning autonomous agents using nine reinforcement learning algorithms to optimize behavior through experience.

Data Analysis Helper

Analyzes datasets, calculates statistical metrics, and generates visual insights to drive data-informed decisions.

Spreadsheet Tools

Automates the creation, analysis, and formatting of Excel spreadsheets using programmatic data manipulation and visualization techniques.

AI Memory System Architect

Designs and implements layered memory architectures including short-term, long-term, and temporal knowledge graphs for persistent AI agents.

Complex Data Analysis

Provides a structured framework for comprehensive data processing, multi-step analysis patterns, and standardized output generation.

Data Cleaner

Automates dataset analysis and cleaning by detecting data types, identifying quality issues, and generating Python scripts for standardized data preparation.

Behavior Tree Composer

Generates and validates executable Python behavior trees for robotic systems using natural language task descriptions.

Pegasus Workflow Scaffolder

Automates the creation of production-grade Pegasus scientific workflows from high-level pipeline descriptions.

Multi-Agent System Optimizer

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

GEPS v5: Evolutionary Portfolio Search

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

Production Python Developer

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

OpenAI Platform Integration

Facilitates the development of AI-powered applications using the OpenAI SDK, covering GPT-5 models, Responses API, and advanced tool calling.

Whisper Audio Transcription

Transcribes audio files locally using whisper.cpp with CUDA acceleration for high-performance speech-to-text conversion.

Data Visualization Creator

Transforms raw datasets into professional-grade charts, graphs, and visual plots using intelligent data analysis.

Media Understanding & Analysis

Analyzes and extracts insights from images, videos, and audio files using advanced AI models.

Gemini Audio Integration

Implements comprehensive audio processing and text-to-speech generation using the Google Gemini API.

Academic Review Training Extractor

Extracts structured training pairs from academic peer reviews and source documents to build high-quality datasets for LLM fine-tuning.

Whisper Audio Transcriber

Converts audio and video files into text transcripts with word-level timestamps using WhisperX.

Video Analysis Toolkit

Analyzes and extracts structured insights from video files using AI-powered understanding and timestamped key moment identification.

HAIPipe Case Processing (Layer 3)

Transforms temporal RecordSets into event-triggered CaseSets for machine learning feature extraction.

Experiment Log

Tracks experiment parameters, results, and environment snapshots to ensure full reproducibility and systematic iteration.