AI skills can mean two different things: reusable instructions that give AI the capability to complete tasks automatically, or the human expertise needed to use AI effectively. In this article, we mean the first.
Build in minutes — not weeks. Accelerate every deliverable. Much of the AI chatter right now emphasizes going as fast as possible. True, the sheer speed of AI output is a marvel. Day to day, though, you are probably not sitting at your desk wondering, "How fast can AI do this?" but rather, "How can I trust AI to do this so I do not have to think about it?" That is where AI skills can help.
AI skills help you get core product tasks done efficiently and accurately each time. They are guided by your expertise without you having to repeat it.
AI presents endless possibilities for saving time. But when you are working with an LLM, you can still lose hours to prompting, tweaking, reapplying past instructions, and digging through old AI chats for the one that worked well that specific time. All while product managers are busier than ever.
That makes plug-and-play AI capabilities appealing for daily work. And you can find them everywhere right now. The internet is flooded with all sorts of templates and tools to try from startups and industry influencers. But it is harder to find options for product managers that are:
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Shaped by experts who deeply understand product development work
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Connected to your product data, so they can produce accurate and useful output
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From a trustworthy, verified source you feel comfortable using with your product and company information
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Worth the AI costs , because they create value and save meaningful effort (not just automating tasks because you can) The best AI capabilities for product managers prioritize accurate, contextual, and reliable output — while minimizing manual input.
That is what guided the AI skills we developed for Elle, our AI assistant. AI skills are like the next generation of prompts. You only have to set them up once, then Elle knows to apply them automatically each time you do that type of work. And because we use our own software, Elle also has access to all of our product data within the system we trust. That means the expertise behind each skill can be coupled with rich context for the best results. (Elle can even pull from features we shipped a decade ago — we checked.)
It is easy to make your own AI skills for anything, based on any chat you have with Elle. But we wanted to create a set of pre-built skills we could count on to use every day throughout the product lifecycle, at a consistent level of quality we expect from our work. And we wanted to share that with other product managers who could benefit from a more hands-off approach in their AI chats.
That led us to create 40+ built-in AI skills for you to use with Elle. You can find all of them in our AI library. But since there are so many, we rounded up our top 13 to help you get going — like a "starter pack" for product managers. You can explore these with Elle right away if you are a current Aha! software user (or you could simply try out one of our products).
Here is a preview of what they can do:
- [Product strategy](#-ai-skills-for-product-strategy)
- [Product discovery and ideation](#-ai-skills-for-product-discovery-and-ideation)
- [Product roadmap planning](#-ai-skills-for-product-roadmap-planning)
- [Delivery and product documentation](#-ai-skills-for-delivery-and-product-documentation)
🎯 AI skills for product strategy #
Product vision
When to use: Crafting or refining a vision statement for your product
How it works: Share what your product is, who it is for, and the problem it solves. Elle uses that information — along with your existing goals and initiatives — to draft a concise vision statement you can refine.
Strategic goals
When to use: Defining product goals that support your strategy
How it works: Describe what you want to accomplish. Elle helps you turn that direction into measurable goals that connect to your product vision and existing strategy — so you can focus planning on meaningful outcomes.
Market assessment
When to use: Understanding your market before making product decisions
How it works: This AI skill lets you assess your market, customer segments, and alternative solutions. Elle researches using web sources and relevant context in your Aha! account, then summarizes opportunities and considerations for your product strategy.
💡 AI skills for product discovery and ideation #
Customer interview analysis
When to use: Identifying the top concerns and opportunities from a customer interview
How it works: Use this AI skill to review an interview transcript in Aha! Discovery or a note. Elle highlights important feedback with direct quotes, surfaces recurring themes, and suggests next actions — including existing ideas to link to or new ones to consider.
Idea prioritization summary
When to use: Distilling the core challenge, impact, and potential solutions for an idea
How it works: Elle reviews an idea's description and comments to summarize the customer need, the potential impact, and possible ways to address it. Use the summary to decide whether the idea warrants further exploration or prioritization.
Feedback prioritization
When to use: Ranking customer ideas by business impact for focused product planning
How it works: Use this AI skill to quickly analyze the most valuable ideas. Elle evaluates ideas using factors such as votes, product value, and recency, then groups them by potential priority and summarizes the trade-offs to help you decide what to consider next.
Whiteboard brainstorm analysis
When to use: Analyzing ideas captured during a whiteboarding session
How it works: Have Elle analyze the whole whiteboard — or ask it to analyze a specific frame or sticky note color. Elle identifies themes, open questions, disagreements, and possible next actions in a concise summary you can share with the team.
📍 AI skills for product roadmap planning #
Feature definition
When to use: Creating detailed features that reflect your product standards
How it works: When you create or update a feature, Elle reviews its details, related goals and initiatives, and linked ideas. This AI skill automatically drafts a description you can refine before sharing it with the team.
Feature prioritization
When to use: Ranking features based on customer and business value
How it works: Use this AI skill to evaluate a set of features and sort them in priority order. Elle considers product value scores, customer feedback, and strategic alignment — then summarizes trade-offs and suggests next steps.
Feature prototype
When to use: Turning a feature concept into an interactive prototype
How it works: This AI skill generates a prototype based on a feature description, requirements, and any linked research. Share it to gather feedback on the experience and refine the concept before development gets underway.
Release backlog refinement
When to use: Reviewing whether your release backlog is ready for delivery planning
How it works: Elle reviews the features in a release for missing details — checking against a set of completeness criteria and scanning for possible duplicates. This AI skill summarizes backlog readiness, ranks features by priority, and flags items that need further refinement before sprint planning.
🚀 AI skills for delivery and product documentation #
Effort estimation
When to use: Assessing the effort needed to implement new features
How it works: This AI skill reviews each feature using your chosen estimation method, such as story points or T-shirt sizes. Elle considers complexity and dependencies, flags items that need more definition, and provides an estimate with a short rationale to help speed up planning sessions.
Feature how-to article
When to use: Drafting a clear article that explains how new functionality works
How it works: When a feature is ready to ship, this AI skill creates a structured knowledge base article for it. Elle reads the feature and writes documentation on how it works. Tailor it for customers or teammates, then refine the content before sharing so people can get the most value out of the new functionality.
The best use of your time as a product manager is deciding what to build next. Make that your priority — and have Elle help handle the rest.
It is exciting to see this new wave of AI capabilities expand what product managers can do. (Speaking of, have you tried AI app-building yet?) If you test out any of the AI skills we mentioned in this post, let us know how it goes. We are always open to feedback and ideas.
Embrace an AI-powered product mindset. Explore AI in Aha! software**.**