Skill UI

Luna is an automated code reviewer focused on correctness, security, and reliability. She evaluates code against blueprints and checklists, identifying critical vulnerabilities like injection flaws, authentication bypasses, and race conditions. Luna acts as a quality gate, ensuring no unresolved high-risk issues proceed to QA or deployment. She excludes style preferences, focusing only on measurable risks to maintainability and safety.

This skill evaluates the health of data assets using Monte Carlo's observability platform. It generates structured reports on freshness, alerts, monitoring coverage, importance, and upstream dependencies. Use it when users inquire about asset status, reliability, or quality.

This skill enables building production-ready monitoring, logging, and tracing systems for enterprise applications. It covers implementing observability strategies, managing SLIs and SLOs, and handling incident response workflows. Expertise includes distributed tracing, log management, alerting, and reliability engineering practices using tools like Prometheus, Grafana, and OpenTelemetry to ensure system stability and performance.

This skill helps you design comprehensive SLO frameworks and establish meaningful SLIs for service reliability. It focuses on creating monitoring systems that balance reliability with feature velocity using error budget-based engineering practices. Ideal for defining reliability targets, building dashboards, and aligning technical metrics with business priorities.

Open Dynamic Workflows (ODW) is an advanced, open-source engine designed to manage complex coding tasks using multiple AI agents. It operates in three stages: planning the task into parallel subtasks, orchestrating various coding agents (like Codex or Antigravity) to work concurrently, and finally, performing an adversarial verification pass to challenge and validate the combined output before merging. It supports multiple model providers and is ideal for structured, high-reliability software development.

A comprehensive engineering stack for designing and implementing robust, production-grade payment gateways for Software-as-a-Service (SaaS) platforms targeting the Pakistani market. It covers integrating major local providers like JazzCash and Easypaisa, handling complex payment flows (PKR billing, webhooks, idempotency), and performing essential financial reconciliation and auditing processes. This guide ensures high correctness and reliability in B2B/SaaS billing operations in Pakistan.

This skill enables diagnosing performance bottlenecks in applications and infrastructure through profiling, tracing, and load testing. It covers observability setup, latency optimization, caching strategies, and scalability planning. Ideal for optimizing backend, frontend, and distributed systems to ensure high throughput and reliability.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. Learn core capabilities including few-shot learning, chain-of-thought prompting, prompt optimization, template systems, and system prompt design. This skill helps design complex prompts for production applications, optimize consistency, and implement structured reasoning patterns for specialized AI assistants.

PydanticAI is a robust Python framework that integrates Pydantic's type-checking and validation capabilities into Large Language Models (LLMs). It allows developers to build production-ready AI agents that guarantee structured, validated outputs, moving beyond simple raw strings. Key features include supported tool calling, dependency injection for testability, and multi-model compatibility across major providers like OpenAI, Anthropic, and Gemini. Use this when reliability and correct data structure are paramount.

This skill covers essential principles for managing production servers, focusing on decision-making rather than memorizing commands. It includes process management, monitoring strategies, log handling, scaling decisions, health checks, and security best practices to ensure system stability and reliability.

This skill provides comprehensive diagnosis and optimization for agent skill libraries. By analyzing historical session transcripts from platforms like Claude Code and Codex, alongside static skill file checks, it scores each skill across 8 dimensions. It identifies issues such as low trigger rates, poor post-invocation user reaction, and incomplete workflow execution, generating a prioritized report (P0/P1/P2) to significantly improve the agent's overall performance and reliability.

Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to balance reliability with innovation velocity. Includes Prometheus recording rules, alerting configurations, and error budget policies for measuring service reliability targets.