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Skills for AI Agents

Copy-ready .md prompts for AI agent product design workflows. Grab one, paste it, ship faster.

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Latest Skills

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Product Design

UX heuristics, interaction patterns, and design system skills for AI-powered design workflows.

Product Design

AI Product Development Toolkit 🧠 [PromptQuick.ai](https://promptquick.ai)

The AI Product Development Toolkit empowers designers, engineers, and PMs to streamline the product development process by providing a curated collection of prompt templates that enhance interaction with AI models. This skill addresses the common pain points of disorganized prompt management and inefficient iteration by offering a structured, user-centered approach that fosters guided conversations with AI. Key use cases include developing product requirements, brainstorming features, and refining MVP concepts, ensuring that all outputs are contextually consistent and aligned with user goals. With adaptive guidance and built-in verification checkpoints, this toolkit not only facilitates effective collaboration with AI but also enhances your ability to innovate and bring ideas to fruition efficiently.

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Product Design

Isometric City View Generator

The Isometric City View Generator skill creates stunning, highly detailed isometric representations of cities, allowing users to visualize urban landscapes from a unique 45° angle, complete with prominent landmarks. This skill is invaluable for urban planners, designers, and educators, as it enhances visual communication, supports planning workflows, and provides an engaging preview for travelers. By integrating real-time weather data into the output, users receive not just a static image but a dynamic snapshot of the city, fostering better context for design and decision-making. The quality of the rendered output captures intricate architectural details and accurately represents city layouts, making it an essential tool for anyone needing a rich visual reference of urban environments.

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Product Design

Design System Audit

The Design System Audit skill enables teams to systematically assess and enhance their component libraries by identifying inconsistencies, missing states, and documentation gaps. By providing a comprehensive checklist that focuses on critical aspects such as interactivity, accessibility, and responsive design, this skill ensures that all components are robust and user-friendly. It directly addresses common issues like incomplete design resources or varying implementations across platforms, facilitating smoother collaboration among designers and developers. Additionally, the structured output offers prioritized insights into action items, empowering teams to address the most critical areas first and streamline their product design workflows. This thorough approach not only improves design consistency but also enhances usability, leading to a more cohesive user experience.

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⚙️

Engineering

Engineering

Claude Code Skills & Agents Factory

The Claude Code Skills & Agents Factory is an essential toolkit for engineers and designers looking to rapidly create production-ready AI solutions tailored to their specific needs. By utilizing interactive builders and ready-made templates, this skill effectively addresses common challenges in developing and deploying Claude Skills and Code Agents, allowing teams to streamline their workflows and reduce development time. With robust validation and installation commands, users can ensure high-quality outputs and seamless integration into existing projects, making it ideal for a variety of applications from rapid prototyping to scalable AI solutions. This factory not only simplifies the skill-building process but also enhances collaboration and consistency within teams, ultimately driving innovation in AI development.

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Engineering

agents-md

The agents-md skill revolutionizes how development teams manage agent documentation as projects scale, making it easy to maintain clarity and coherence in `AGENTS.md` files. By automatically generating a structured `AGENTS.md` from organized fragments, this skill solves the common problem of static, unmanageable documentation, enhancing collaboration across engineering, design, and project management teams. Use cases include seamlessly updating project specifications as code evolves, optimizing workflows by integrating documentation with version control systems, and facilitating quick onboarding through streamlined, contextually relevant information. The output is hierarchically organized, ensuring that all agent contexts remain current, composable, and readily shareable, which significantly improves project efficiency and productivity.

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Engineering

Function Calling Patterns

The Function Calling Patterns skill provides comprehensive design patterns that empower AI agents to interact with tools and functions in a safe and efficient manner. By establishing clear naming conventions, thorough parameter descriptions, and robust input validation and error handling mechanisms, this skill addresses common integration challenges, ensuring that developers can easily expose and manage function capabilities. Key use cases include enhancing API interactions, streamlining plugin development, and improving software architecture workflows, all while maintaining a high standard of code quality and reliability. This structured approach not only minimizes errors but also fosters greater collaboration among designers, engineers, and product managers, making it an essential asset for any project leveraging AI functionality.

Engineering

Wireframe to Spec Prompt

The Wireframe to Spec Prompt skill empowers product designers to transform rough wireframe concepts into comprehensive, developer-ready specifications, ensuring clarity and precision in the design handoff process. This skill addresses common challenges such as ambiguous layouts, incomplete interaction details, and undefined edge cases that often lead to miscommunication between design and development teams. By providing a systematic breakdown that includes a complete component inventory, detailed layout descriptions, and explicit interaction states, it streamlines workflows and enhances collaboration. Ultimately, this results in higher-quality outputs, reduced revisions, and a smoother transition from design to implementation, significantly improving overall project efficiency.

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AI / Agent Behavior

AI / Agent Behavior

Modular Prompt Template for Prompt-Based AI Systems (2025)

The Modular Prompt Template for Prompt-Based AI Systems (2025) is a robust framework that empowers designers, engineers, and PMs to create high-quality, adaptable prompts for large language models. By offering a structured approach that includes essential core components and optional advanced modules, this template addresses common challenges like prompt drift, versioning, and the need for personalization in AI applications. With its clear categorization and explanatory comments, it simplifies the prompt engineering process, making it easier to tailor interactions across different use cases, such as developing conversational agents or automating complex workflows. Utilizing this template not only enhances the effectiveness of AI systems but also promotes best practices in prompt design, ultimately optimizing user satisfaction and system performance.

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AI / Agent Behavior

Modular Prompt Template for Prompt-Based AI Systems (2025)

The Modular Prompt Template for Prompt-Based AI Systems (2025) empowers designers, engineers, and product managers to create robust, adaptable prompts for large language models with ease and precision. By promoting modularity and reusability, this template addresses common challenges in AI prompt design, such as prompt drift, inconsistency, and the need for context-aware interactions. Key use cases include developing intelligent assistants, streamlining workflow automation, and maintaining effective documentation on prompt best practices. Its structured output provides a comprehensive framework, featuring clear distinctions between core components and optional modules, enabling seamless customization to fit diverse application demands. With this skill, teams can significantly enhance their AI system's performance while adhering to industry best practices.

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AI / Agent Behavior

Prompt Engineering Guide

The Prompt Engineering Guide skill equips designers, engineers, and product managers with the essential knowledge to effectively leverage large language models (LLMs) through optimized prompt creation. By addressing common challenges such as enhancing question answering and improving arithmetic reasoning, this skill empowers users to develop more robust applications and tools utilizing LLMs. The guide compiles cutting-edge research, practical learning resources, and hands-on courses that streamline the workflow of implementing intelligent systems effectively. With its structured insights and comprehensive coverage, it not only improves the quality of interactions with AI but also fosters a deeper understanding of the underlying capabilities and constraints of LLMs.

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AI / Agent Behavior

AGENTS.md - Rules of Engagement

AGENTS.md - Rules of Engagement establishes a robust framework for AI agents, ensuring security, efficient data handling, and effective communication. This skill is essential for designers, engineers, and PMs as it mitigates risks associated with untrusted data sources and unauthorized information sharing, thus enhancing user trust and safety in interactions. By outlining specific operational standards and memory management protocols, it seamlessly supports workflows ranging from task execution to sensitive data protection, facilitating more predictable and reliable agent behavior. With its comprehensive approach, AGENTS.md offers structured output that not only meets security mandates but also aligns with best practices in user engagement and operational efficiency.

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AI / Agent Behavior

Agent Prompts

The Agent Prompts skill is an essential tool for software development and research workflows, designed to enhance collaboration among AI agents in structured pipelines. By enabling seamless task execution from high-level design to implementation, this skill effectively addresses problems such as project fragmentation, miscommunication, and inefficiencies in rapid prototyping. Key use cases include developing proof-of-concept applications where agents like the Software Architect and Problem Analysis collaborate to produce comprehensive architecture designs and implementation plans. The output is highly structured, ensuring systematic quality assurance and thorough validation, which ultimately accelerates development cycles and increases the reliability of AI-assisted projects. This skill is invaluable for designers, engineers, and PMs seeking to leverage AI for complex project execution.

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AI / Agent Behavior

Multi-turn Conversation State Management

The Multi-turn Conversation State Management skill enables AI agents to effectively maintain and evolve conversation context across multiple interactions, addressing common challenges posed by context window limitations and the need for memory management. This skill solves problems related to disjointed dialogues and ensures that agents can seamlessly track references to entities and respond appropriately during context switches, enhancing user experience. Key use cases include customer support automation, conversational interfaces in applications, and interactive storytelling, where retaining coherent and relevant dialogue flow is crucial. By providing structured output that summarizes and references past interactions, this skill significantly improves the depth and quality of conversations, making it an essential tool for designers, engineers, and product managers looking to create engaging and intelligent conversational agents.

AI / Agent Behavior

Jobs-to-be-Done Prompt

The Jobs-to-be-Done Prompt skill provides a comprehensive framework for uncovering the true motivations behind user behaviors and requests, going beyond mere surface-level features to reveal deeper insights. By analyzing user input through the JTBD lens, this skill effectively helps teams identify functional, emotional, and social jobs users are trying to accomplish, pinpointing current workarounds and competing solutions. This intelligence is invaluable in refining product development strategies, enhancing UX design, and informing marketing messaging, ultimately driving product adoption and customer satisfaction. With structured outputs that capture nuanced user perspectives, stakeholders gain actionable insights that directly inform prioritization and innovation within their workflows.

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📈

Growth / Product

Growth / Product

A/B Testing AI Features

The A/B Testing AI Features skill provides a robust framework for conducting controlled experiments that measure the effectiveness of various AI agent features, enabling teams to make data-driven decisions that enhance performance and user satisfaction. By defining clear success metrics and segmenting users effectively, this skill helps address common challenges such as optimizing feature adoption and understanding user preferences. It improves workflows by allowing designers and product managers to iteratively test and validate features before full deployment, reducing the risk of unsuccessful launches. Combined with thorough analysis of qualitative feedback, this skill ensures that the output is not only statistically sound but also captures user insights, ultimately leading to more impactful AI enhancements.

Growth / Product

Onboarding Flow Reviewer

The Onboarding Flow Reviewer skill serves as a critical tool for product designers and managers seeking to enhance user activation and retention by meticulously evaluating onboarding processes. By systematically analyzing each step for value clarity, cognitive load, and progress signaling, this skill identifies potential drop-off risks, offering actionable insights that directly address the hurdles first-time users face. With outputs such as a Time-to-Value Score, identification of top drop-off points, and quick win recommendations, it empowers teams to streamline onboarding workflows and create smoother user experiences. By thinking like a skeptical new user, this skill ensures that every recommendation aligns with genuine user goals, ultimately fostering higher engagement and satisfaction.

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Hire 6 AI design agents working in parallel

Sponsored

Hire 6 AI design agents working in parallel

Your personal team of AI design swarm agents

Try FREE Today!

How it works

Every skill is a battle-tested prompt engineered to supercharge your AI and elevate your product development. Just copy, paste, and watch the magic happen.

Copy the Skill

Select any skill and copy its full prompt directly to your clipboard.

Or Download It

Download the skill as a .md file for easy reference and sharing.

Paste into Any AI

Add it to ChatGPT, Claude, your LLM, or any AI platform you use.

Better Outputs

Get smarter design decisions and higher-quality product development.

✨ Designed for Product Builders & AI Enthusiasts