All Skills

Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM).

Design, implement, and validate Python-based IoT Edge modules for telemetry processing, local inference, protocol translation, and edge-to-cloud integration.

Executes a predefined implementation plan step by step, updating progress inline and running build or test commands.

Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

Scaffolds a Spring Boot Java project with Maven, PostgreSQL, Redis, MongoDB, and Docker Compose.

Build, scaffold, and deploy Power Automate cloud flows programmatically via the FlowStudio MCP server, including constructing flow definitions, wiring connections, deploying, and testing.

Debug failing Power Automate cloud flows by inspecting action-level inputs and outputs through the FlowStudio MCP server.

Plan and execute enterprise sales cycles using MEDDICC qualification, mutual action plans, and stakeholder mapping to systematically close complex deals.

Refactors Java methods by extracting code blocks into separate, well-named methods to improve readability and maintainability.

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

Guides optimization of Qdrant query latency by tuning segments, memory, quantization, and search parameters.

Diagnoses Qdrant search quality issues by isolating causes like HNSW approximation, quantization, embedding model, or search pipeline problems.

Generate a complete, production-ready MCP server project in TypeScript with tools, resources, and proper configuration.

Analyzes codebases to generate comprehensive architectural documentation, including technology stack detection, visual diagrams, and implementation patterns.

Creates detailed technical implementation plans for features based on a Feature PRD, including system architecture, database schema, API design, and frontend component hierarchy.

Refactors a Python script into a beginner-friendly project with clear comments and a complete markdown tutorial.

Generate production-ready Dataverse SDK solutions with architecture recommendations, data models, and implementation code for common business use cases.

Reminds the agent to act as an interactive programmer using a live REPL for exploration and modification, with structural editing and todo list management.

Analyze existing code files to generate a project-specific coding standards document, with options for templates, README insertion, and inconsistency detection.

Generate tailored AI agent instruction files for VS Code Copilot and other coding agents, using AgentRC to analyze your codebase and produce flat or nested instruction files with optional per-area scoping.

Refactors Java methods by removing unused or redundant parameters to improve readability and maintainability.

Reduces cognitive complexity of a specified method by extracting logic into focused helper methods, improving readability and maintainability.

Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.

Generates customizable prompts for scanning codebases to identify and document high-quality code exemplars, supporting multiple programming languages and configurable analysis depth.

Automates filling in a Microsoft Forms form using Playwright MCP, with a review step before submission.

Generate complete Power Platform custom connectors with Model Context Protocol integration for Copilot Studio, including schema generation, validation, troubleshooting, and certification preparation.

Guides scaling decisions for Qdrant vector databases when data volume exceeds single-node capacity, covering tenant scaling, time window rotation, vertical scaling, and horizontal sharding.

Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.

Guides the design of effective, user-friendly, and accessible Power BI reports with optimal chart selection and layout design.

Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.

Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes.

Generate structured Architectural Decision Record (ADR) documents with standardized front matter, consequences, and alternatives for AI-optimized decision documentation.

Monitor Power Automate flow health, failure rates, and tenant assets through the FlowStudio MCP cached store with governance metadata and remediation hints.

Analyzes project folder structures, auto-detects technology stacks, and generates detailed blueprints with naming conventions, file placement patterns, and templates for consistent code organization.

Structure board meetings, investor updates, and executive communication that builds trust and drives decisions.

Systematically diagnose and resolve performance issues in Power BI models, reports, and queries using a structured troubleshooting methodology.