Skill UI

Coordinate Productlane operations through Rube MCP and Composio tooling, covering discovery, connection checks, execution, bulk workbench runs, and schema adherence so dynamic integrations stay reliable.

Automates Project Bubble workflows via Rube MCP and Composio toolkits, emphasizing schema discovery, connection checks, and multi-tool execution for reliable project ops.

A guide to building robust projections and read models from continuous event streams. This pattern is essential for implementing CQRS read sides, creating materialized views, optimizing query performance, and building complex search indexes in event-sourced architectures. Use it when data needs to be transformed and aggregated from raw events into optimized query structures.

Generates Prometheus configuration files on demand, guiding DevOps engineers through best practices for Kubernetes, Terraform, CI/CD, and monitoring while validating outputs against common standards.

A comprehensive guide covering the complete setup of Prometheus, including metric collection strategies, advanced scrape configuration (static, file-based, Kubernetes), defining recording rules, and integrating with AlertManager and Grafana. Use this skill to establish robust monitoring for applications and infrastructure.

This skill specializes in designing, optimizing, and evaluating prompts for Large Language Models (LLMs). It allows users to generate optimized prompt templates, structured output schemas (e.g., JSON mode, function calling), and comprehensive test suites. Use this skill when building new LLM applications, implementing complex reasoning patterns like Chain-of-Thought, defining system guardrails, or building robust evaluation frameworks to measure and improve model performance.

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

A comprehensive collection of battle-tested, structured prompts designed to elevate interactions with Large Language Models (LLMs). Covers advanced use cases including expert coding reviews, system architecture design, performance analysis, technical writing, and creative brainstorming, ensuring high-quality, actionable AI output.

Automate Proofly operations by orchestrating Composio tools through Rube MCP, including discovery, connection checks, and schema-compliant multi-tool execution plans.

Provides automated guidance and production-ready code for property-based test helper tasks, covering unit, integration, and mocking scenarios within Test Automation workflows.

Automates Proxiedmail operations through Composio’s Rube MCP by discovering current tool schemas, verifying active connections, and running indexed execute calls with memory/session management so workflows stay schema-compliant.

Automated guidance for configuring Pub/Sub subscriptions within GCP, offering step-by-step best practices, production-ready configurations, and validation against common standards whenever you mention subscription config requests.