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Facilitates end-to-end testing and browser automation for local web applications using Python Playwright scripts and server management utilities.
Guides the implementation, registration, and troubleshooting of event, user, and item-scoped custom dimensions in Google Analytics 4.
Provides a comprehensive toolkit for creating, manipulating, and analyzing complex network structures and graph algorithms in Python.
Performs advanced biological computation and molecular biology workflows using the Biopython toolkit.
Performs robust differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Implements and validates Google-defined recommended events for GA4 to ensure consistent ecommerce and user engagement tracking.
Guides developers in building high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with LLMs.
Generates comprehensive prospect profiles and actionable sales intelligence for personalized outreach and call preparation.
Performs constraint-based metabolic modeling and systems biology simulations using the COBRApy Python library.
Analyzes biological data using specialized tools for sequence manipulation, phylogenetics, and microbial ecology metrics.
Enables high-performance data manipulation and analysis using the Polars DataFrame library's lightning-fast expression API.
Diagnoses sales needs and sequences specialized skills to execute complex deal strategies and optimize revenue workflows.
Automates end-to-end scientific research workflows from data-driven hypothesis generation to publication-ready LaTeX manuscripts.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and cell type annotation.
Manages Google Analytics 4 administrative settings, data retention policies, and user permissions with expert precision.
Parses Product Requirements Documents (PRDs) to extract structured implementation context for AI-driven development workflows.
Enforces project-specific standards and validation rules before executing AI workflow commands.
Facilitates machine learning for drug discovery using a PyTorch-based toolkit for molecular property prediction, protein modeling, and retrosynthesis.
Generates engaging, first-person narrative summaries of complex content using multi-perspective narrative framing.
Performs comprehensive Ruby codebase audits using principles from industry legends like Sandi Metz and Kent Beck to ensure maintainability and performance.
Provides programmatic Python access to over 40 bioinformatics web services for biological data retrieval and pathway analysis.
Identifies high-value content opportunities using the 6 Circles Method to build data-driven content calendars without paid SEO tools.
Performs fast nonlinear dimensionality reduction and manifold learning for high-dimensional data visualization and clustering.
Runs Python code in the cloud with serverless containers, high-performance GPUs, and automatic scaling for AI/ML workloads.
Generates evidence-based, testable scientific hypotheses and structured experimental designs to accelerate research and discovery.
Builds and deploys serverless bioinformatics pipelines using the Latch SDK with specialized decorators and cloud data management.
Manages and synchronizes core agent rule files and project structures across multiple development environments.
Automates the software versioning process by handling version bumps, Git staging, commits, and release tagging.
Manages annotated data matrices and metadata for single-cell genomics and large-scale biological datasets using the AnnData framework.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets through human genetics and clinical evidence.
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