AI Skills for Growth Product Manager

Automates the management of GitHub issues by fetching, fixing, and monitoring PRs using sub-agents for efficient issue resolution.

Provides guidance for creating effective skills that enhance Gemini CLI's capabilities with specialized workflows and tool integrations.

Facilitates the transformation of ideas into detailed designs and specifications through structured brainstorming and user collaboration.

Facilitates the execution of implementation plans with critical reviews and structured task management for effective project delivery.

Enhances workflow efficiency by suggesting strategic context compaction to preserve important information during complex tasks.

Provides repo-specific guidance for managing cross-platform coding tasks and maintaining synchronization across multiple AI coding platforms.

Provides comprehensive UI/UX design intelligence with styles, palettes, and guidelines for web and mobile applications.

Facilitates the creation of scalable design systems with design tokens and theming infrastructure for consistent UI across applications.

Enables the creation of reusable UI components using React, Vue, and Svelte with modern design patterns and CSS-in-JS techniques.

Facilitates the implementation of saga patterns for managing distributed transactions and long-running workflows effectively.

Enables comprehensive testing of smart contracts using Hardhat and Foundry, ensuring robust and secure blockchain applications.

Facilitates structured project documentation and context management for consistent AI interactions and team alignment.

Designs durable workflows for distributed systems using Temporal, focusing on orchestration, state management, and resilience patterns.

Enhances LLM performance through advanced prompt engineering techniques for optimized outputs and structured reasoning.

Optimizes multi-agent team compositions with sizing heuristics and configurations for effective workflows.

Build production-ready Apache Airflow DAGs with best practices for data pipelines, workflow orchestration, and batch job scheduling.

Master C#/.NET backend patterns for building robust APIs and enterprise applications with best practices in dependency injection and testing.

Designs advanced LLM applications using LangChain and LangGraph for AI agents, memory management, and tool integration.

Enables the creation of knowledge-grounded AI systems using Retrieval-Augmented Generation (RAG) with vector databases and semantic search.

Provides production-ready templates for implementing DeFi protocols like staking, AMMs, and governance in decentralized finance applications.