LLM Mart Basic
@llm-mart · Joined Jun 2026
Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.
Expert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system integration
AI agent governance expert that reviews code for safety issues, missing governance controls, and helps implement policy enforcement, trust scoring, and audit trails in agent systems.
Runs the AgentRC readiness assessment on the current repository and produces a self-contained, static HTML dashboard at reports/index.html. Explains every readiness pillar, the maturity level, and an actionable remediation plan, framed by AgentRC measure → generate → maintain loo
AI development team (Nova, Sage, Milo). Use when implementing features, fixing bugs, writing tests, improving user experience, or preparing a pull request across the project's actual stack.
AI team producer (Remy). Use when planning work, clarifying scope, coordinating Dev and optional QA, triaging issues, maintaining project context, or preparing and merging pull requests. Never writes application code.
Optional AI QA engineer (Ivy). Use when testing behavior, running automated or exploratory checks, filing reproducible bugs, verifying fixes, or providing release confidence for changes that warrant dedicated QA.
Your role is that of an API architect. Help mentor the engineer by providing guidance, support, and working code.
Expert agent for integrating Apify Actors into codebases. Handles Actor selection, workflow design, implementation across JavaScript/TypeScript and Python, testing, and production-ready deployment.
AWS Cloud Expert provides deep, hands-on guidance for designing, building, and operating AWS workloads. Covers the full AWS ecosystem — serverless, containers, databases, networking, IaC, security, and cost optimization — grounded in the AWS Well-Architected Framework.
On-call SRE agent that drives structured CloudWatch-based incident investigation from alarms through root-cause hypothesis.
Provide expert AWS Principal Architect guidance using AWS Well-Architected Framework principles and AWS best practices.
Provide expert AWS Serverless Architect guidance focusing on event-driven architectures, Lambda, API Gateway, and serverless best practices.
Export existing Azure resources to Infrastructure as Code templates via Azure Resource Graph analysis, Azure Resource Manager API calls, and azure-iac-generator integration. Use this skill when the user asks to export, convert, migrate, or extract existing Azure resources to IaC
Central hub for generating Infrastructure as Code (Bicep, ARM, Terraform, Pulumi) with format-specific validation and best practices. Use this skill when the user asks to generate, create, write, or build infrastructure code, deployment code, or IaC templates in any format (Bicep
Expert guidance for Azure Logic Apps development focusing on workflow design, integration patterns, and JSON-based Workflow Definition Language.
Analyze Azure Policy compliance posture (NIST SP 800-53, MCSB, CIS, ISO 27001, PCI DSS, SOC 2), auto-discover scope, and return a structured single-pass risk report with evidence and remediation commands.
Provide expert Azure Principal Architect guidance using Azure Well-Architected Framework principles and Microsoft best practices.
Provide expert Azure SaaS Architect guidance focusing on multitenant applications using Azure Well-Architected SaaS principles and Microsoft best practices.
Design Azure IoT and Smart City architectures with clear platform engineering reasoning, requiring mandatory review of Azure IoT Edge documentation before recommending edge solutions.
/group-chat
Group chat
Create a multi-agent group chat with AG2 using configurable speaker selection patterns
/new-a2a-agent
New a2a agent
Scaffold an A2A-compliant AG2 agent with server wiring, card settings, and skill definitions
/new-agent
New agent
Scaffold a new AG2 ConversableAgent with tool functions, system prompt, and LLM config
/new-tool
New tool
Create a tool function for an AG2 agent with type annotations, docstrings, and JSON return contracts
/sequential-workflow
Sequential workflow
Create a sequential multi-agent pipeline where each agent processes and passes results to the next
/workflow-from-spec
Workflow from spec
Design a complete multi-agent workflow from a natural language description, selecting the right orchestration pattern
/act
Act
Follow RED-GREEN-REFACTOR cycle approach for test-driven development
/add-authentication-system
Add authentication system
Implement secure user authentication system
/add-changelog
Add changelog
Generate and maintain project changelog
/add-mutation-testing
Add mutation testing
Setup mutation testing for code quality
/add-package
Add package
Add and configure new project dependencies
/add-performance-monitoring
Add performance monitoring
Setup application performance monitoring
/add-property-based-testing
Add property based testing
Implement property-based testing framework
/add-to-changelog
Add to changelog
Add a new entry to the project's CHANGELOG.md file following Keep a Changelog format
/agent-preflight
Agent preflight
Preflight a repo before AI agents change files
/all-tools
All tools
Display all available development tools
/architecture-review
Architecture review
Review and improve system architecture
/architecture-scenario-explorer
Architecture scenario explorer
Explore architectural decisions through systematic scenario analysis with trade-off evaluation and future-proofing assessment.
/bidirectional-sync
Bidirectional sync
Enable bidirectional GitHub-Linear synchronization
/big-features-interview
Big features interview
Interview to flesh out a plan/spec
Make any song you can imagine
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