3. Data, Science & AI

Inspects Excel file structure including sheets, data types, and VBA code to enable data understanding and subsequent code generation for data processing.

Conducts paired t-tests and repeated-measures ANOVA on biomechanical data, generating publication-ready Excel reports with auto-updating formulas.

Extracts conversion patterns from marketing assets to audit and optimize AI sales agent prompts, ensuring higher conversion rates through data-driven prompt engineering.

Adds AI-generated annotations to CSV data by applying user prompts to each row and appending results as a new column.

Provides MongoDB schema design, query optimization, and aggregation pipeline guidance for efficient PMS database operations.

Provides essential documentation for safely executing SQL operations and managing security rules on CloudBase Relational Database using approved tools to prevent data corruption.

Handles log ingestion, history checks, and conversation retrieval from Cryo Vault database for efficient log management.

Enables fast LLM inference and AI application development via Groq API integration, supporting chat, vision, audio, and content moderation.

Enables seamless integration with Anthropic's Claude API for AI applications, featuring tool calling, vision inputs, and streaming responses.

Conducts quality assurance and adversarial testing on decomposition structures for autonomous agent execution to ensure reliability.

Provides Python and VBA helper functions for handling missing values (NA) in Excel data following standardized guidelines.

Enables fast LLM inference integration with Cerebras Cloud API using Python/TypeScript SDKs, supporting tool use and structured outputs.

Manages JSONL format data for registries, logs, and datasets, enabling efficient creation, querying, and updates.

Provides transparent data preprocessing for journalistic analysis, documenting every transformation to ensure auditability and reproducibility.

Visualizes biomechanics signal data including EMG, forceplate, and CoP/CoM trajectories with research-specific plots.

Initiates an AI-driven development loop to autonomously detect and resolve software bugs without manual intervention.

Guides creation and optimization of prompts for LLMs, covering techniques like few-shot learning and structured output formatting.

Analyzes preprocessed data to identify patterns, anomalies, and statistical findings for investigative journalism, ensuring transparency and explainability.

Guides mapping of weather JSON properties to descriptive meanings after retrieving city weather data via GetWeatherForCity tool.

Automates creation of new AI agent skills using the Agent Skills specification, including instruction addition and pattern documentation.

Translates coding task requirements into Gemini CLI commands for execution via Google Gemini AI agent.

Provides essential utilities for Cloudflare Workers AI, enabling text generation, embeddings, image generation, and streaming.

Orchestrates parallel Claude Code AI agents across Git worktrees to accelerate large-scale code implementation through coordinated AI assistance.

Automates mapping natural language user commands to MCP tool calls, including tool chaining and JWT-based user identification for agent workflows.