3. Data, Science & AI

Enables evidence-based quality control decisions for neuroimaging data by interpreting metrics from pipelines like MRIQC and fMRIPrep.

Provides scientific Python coding for economic research, including numerical methods, solvers, and simulations.

Provides core best practices for crafting effective prompts and context to enhance Claude Code's code generation capabilities.

Fetches and displays GitHub trending repositories and developers for dashboard integration and project discovery.

Provides database navigation, schema reference, and query pattern guidance for Supabase tables and relationships in Empathy Ledger.

Defines and manages database schemas, collections, and structured data storage for Wix CMS, including fields, relationships, and permissions.

Scans directories to validate JSON file syntax, ensuring correct formatting and structure for data processing workflows.

Generates and validates Brazilian CPF and CNPJ data for seamless integration within Easy Budget applications.

Delivers hydraulic engineering domain knowledge for implementing, reviewing, and developing solvers in OpenSolve Pipe for pipe system analysis.

Generates and manages MySQL database schemas using AI-driven data modeling, including Mermaid ER diagram design for clear data structure visualization.

Generates scientific charts including time series, spatial distributions, and comparative visualizations for data analysis.

Maintains database integrity, ensures data alignment, verifies compliance, and prepares data for JusticeHub syndication.

Runs long-term autonomous AI agents using Product Requirements Document (PRD) specifications for structured task execution.

Core guidelines for orchestrating tasks across multiple AI subagents, ensuring efficient task delegation and execution.

Enables natural language queries to retrieve Salesforce CRM data for Accounts, Opportunities, Contacts, Leads, and Cases.

AI-powered analysis of transcripts and narratives for Empathy Ledger, extracting themes, quotes, and suggesting stories.

Assists in exploring and comprehending the Empathy Ledger database structure, including schema, migrations, functions, and relationships.

Enables Supabase-style SQL queries in frontend apps for CloudBase Relational Database using @cloudbase/js-sdk.

Builds and optimizes LLM features with emphasis on reliability, evaluation, cost control, latency, and user trust.

Executes Python data analysis or identifies knowledge base gaps, enabling data-driven insights and decision support.

Generates images via Pollinations API with model constraint and dimension validation for AI image generation tasks.

Automates construction quantity surveying by extracting material quantities from PDF plans using AI, analyzing competitor data, and generating cost reports in Excel.

Maps and organizes machine learning repository structures, including code, data, and model files for efficient management.

Guides creation of structured AI workflows and SOPs, ensuring best practices for managing LLM uncertainty in domains like code review and documentation.