3. Data, Science & AI

Manages sequential AI operations for the Sage model, enabling complex chain-based reasoning and task orchestration.

Enables creation, management, and testing of AI agents and skills for Claude Code with YAML configuration and tool integration.

Guides seamless integration of GenAI models, RAG systems, and observability tools into applications for robust LLM and agent deployments.

Provides a multi-account dashboard with detailed ad-level statistics and aggregated performance metrics across all accounts.

Provides geocoding, nearby place search, and map visualization for user queries about locations and addresses.

Designs and executes SELECT-only ClickHouse queries via Laminar's SQL API, handling parameters, authentication, and interpreting complex data responses.

Manages Flyway database migration scripts for version-controlled schema changes and database evolution.

Enables persistent memory for user-provided information across multiple conversations, allowing recall of previous details.

Aggregates worker results, verifies task completion, and detects blockers in multi-agent LLM workflows.

Automates normalization and deduplication of exhibitor records, including canonical naming and domain extraction, for clean data conversion from raw to structured format.

Analyzes 3Lens performance data through queries to identify hotspots, leaks, and resource usage patterns for optimization.

Analyzes FPGA synthesis resource utilization from Achronix ACE reports, mapping modules to RTL sources and generating syn_area.md documentation.

Validates and writes lead data to CSV with schema compliance, proper escaping, and evidence URLs for lead-search operations.

AI-driven synthesis tool using semantic matching and agent workflows to validate traceability, quality, and completion decisions through holistic verification.

Exports Odoo's General Ledger (Razao Geral) to Excel with calculated initial balances and accumulated account balances for financial reporting.

Provides guidelines for creating efficient database indexes in Appwrite to ensure fast search and filter operations.

Proactively compresses and stores context to optimize token usage in LLM applications, ensuring efficient code implementation within context window constraints.

Provides best practices for analyzing social media data and generating actionable reports to inform business decisions.

An AI system that automatically learns from session observations, detects patterns, generates instincts, and evolves into skills, commands, or agents for continuous improvement.

Adds new agent templates to the meta-agent-skills framework for building and managing AI agent capabilities.

Adds new templates for AI agent skills to the meta-agent-skills framework, enabling customizable agent capability extensions.

Maintains and synchronizes AI agent templates with their associated skill templates for consistent agent configurations.

Converts Product Requirements Documents (PRDs) into Ralph's required JSON format for seamless integration with the autonomous agent system.

Proactively analyzes codebases to generate specialized subagents and standardize agentic workflows for AI-driven task automation.