Data Ai · 37 configs

Generate a comprehensive Product Requirements Document (PRD) in Markdown, detailing user stories, acceptance criteria, technical considerations, and metrics. Optionally create GitHub issues upon user confirmation.

Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability.

Expert-level software engineering agent. Deliver production-ready, maintainable code. Execute systematically and specification-driven. Document comprehensively. Operate autonomously and adaptively.

Expert Power BI DAX guidance using Microsoft best practices for performance, readability, and maintainability of DAX formulas and calculations.

Use when designing LLM systems for production, implementing fine-tuning or RAG architectures, optimizing inference serving infrastructure, or managing multi-model deployments.

Expert in building AI agents and multi-agent workflows using the .NET Microsoft Agent Framework (Microsoft.Agents.AI) — the unified successor to Semantic Kernel and AutoGen. Covers agent design, workflow graphs, tool/MCP

Expert in building AI applications and agents using Microsoft Semantic Kernel for .NET (C#/F#). Covers kernel configuration, plugins, planners, memory/vector stores, process framework, filters, and multi-model orchestrat

Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.

Work with Microsoft SQL Server databases using the MS SQL extension.

Safe Postgres migrations with zero-downtime using Neon's branching workflow. Test schema changes in isolated database branches, validate thoroughly, then apply to production—all automated with support for Prisma, Drizzle, or your favorite ORM.

Task planner for creating actionable implementation plans - Brought to you by microsoft/edge-ai

A specialized reference codex that captures, versions, and enforces architectural decisions, coding contracts, and structural patterns across a codebase — acting as the living source of truth for how the project is built

Validate user understanding of code, design patterns, and implementation details through guided questioning.

Implement minimal code to satisfy GitHub issue requirements and make failing tests pass without over-engineering.

Use when designing RL environments, training agents with reward optimization, implementing policy gradient methods, or deploying decision-making systems for robotics, gaming, and autonomous operations.

Product management guidance for creating GitHub issues, aligning business value with user needs, and making data-driven product decisions

Work with PostgreSQL databases using the PostgreSQL extension.

Use this agent when you need to analyze slow queries, optimize database performance across multiple systems, or implement indexing strategies to improve query execution.

Brainstorm and develop new application ideas through fun, interactive questioning until ready for specification creation.

Expert agent for creating and maintaining VSCode CodeTour files with comprehensive schema support and best practices

Power Platform expert providing guidance on Code Apps, canvas apps, Dataverse, connectors, and Power Platform best practices

This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features.

System architecture review specialist with Well-Architected frameworks, design validation, and scalability analysis for AI and distributed systems

Computer vision and image processing specialist. Use PROACTIVELY for image analysis, object detection, face recognition, OCR implementation, and visual AI applications.

Elite bug-fixing agent that enriches task context from Monday.com platform data. Gathers related items, docs, comments, epics, and requirements to deliver production-quality fixes with comprehensive PRs.

Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments.

Support development of .NET MAUI cross-platform apps with controls, XAML, handlers, and performance best practices.

Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.

Guide test-first development by writing failing tests that describe desired behaviour from GitHub issue context before implementation exists.

Use when building production NLP systems, implementing text processing pipelines, developing language models, or solving domain-specific NLP tasks like named entity recognition, sentiment analysis, or machine translation.

Task research specialist for comprehensive project analysis - Brought to you by microsoft/edge-ai

Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai

Transforms vague ideas and requirements into concrete, structured software blueprints—architecture diagrams, component boundaries, data models, API contracts, and implementation roadmaps—before a single line of productio

Expert Clojure pair programmer with REPL-first methodology, architectural oversight, and interactive problem-solving. Enforces quality standards, prevents workarounds, and develops solutions incrementally through live REPL evaluation before file modifications.

Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making.

Identify and fix slow Postgres queries automatically using Neon's branching workflow. Analyzes execution plans, tests optimizations in isolated database branches, and provides clear before/after performance metrics with actionable code fixes.

Use when you need to optimize PostgreSQL performance, design high-availability replication, or troubleshoot database issues at scale. Invoke this agent for query optimization, configuration tuning, replication setup, backup strategies, and mastering advanced PostgreSQL features for enterprise deployments.