28 AI-powered PM skills from Lenny's Podcast. Helps product managers use Claude Code and Cursor to improve product development. Benefits PMs by automating tasks and providing insights throughout the product lifecycle.
git clone https://github.com/menkesu/awesome-pm-skills.git28 AI-powered PM skills from Lenny's Podcast. Helps product managers use Claude Code and Cursor to improve product development. Benefits PMs by automating tasks and providing insights throughout the product lifecycle.
1. **Gather Data**: Collect [PRODUCT_DATA] such as user metrics, feature usage, and customer feedback. Use tools like Amplitude, Mixpanel, or Google Analytics. Ensure data is up-to-date and segmented (e.g., by user cohort or behavior). 2. **Define Goals**: Clearly articulate [USER_GOALS], such as improving retention, increasing feature adoption, or reducing churn. Specify the timeframe and success criteria (e.g., 'Increase 30-day retention from 30% to 40% in 60 days'). 3. **Focus Area**: Narrow down [SPECIFIC_AREA] to a specific problem or opportunity. For example, focus on 'onboarding friction' or 'low feature engagement.' Use data to identify pain points. 4. **Generate Hypotheses**: Use the prompt template to brainstorm 3-5 hypotheses. For each, define the expected impact, metrics, and implementation steps. Prioritize based on feasibility and potential ROI. 5. **Validate and Iterate**: Implement the top hypothesis using AI tools like Cursor for prototyping or Claude Code for automation. Track metrics and iterate based on results. Use A/B testing to validate assumptions.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/menkesu/awesome-pm-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as an expert product manager using AI tools. Using [PRODUCT_DATA] and [USER_GOALS], analyze the current product state and suggest 3 high-impact improvements. For each suggestion, provide: 1) a clear hypothesis, 2) metrics to measure success, 3) implementation steps, and 4) potential risks. Focus on [SPECIFIC_AREA] like user engagement, retention, or monetization. Prioritize based on expected impact and feasibility.
For a SaaS product with 5,000 monthly active users (MAUs) and a 30% 30-day retention rate, here are three high-impact improvements: 1. **Hypothesis**: Adding a 'Quick Start' tutorial will increase new user activation from 20% to 40% within 30 days. - **Metrics**: Activation rate, time-to-first-value, and 7-day retention. - **Implementation**: Create an interactive 3-step tutorial using [TOOL_NAME]. Deploy via in-app modal and email sequence. - **Risks**: Tutorial fatigue if too long; mitigate by limiting to 3 steps and offering 'skip' option. 2. **Hypothesis**: Introducing a 'Usage Tips' sidebar will increase feature adoption by 15% in 60 days. - **Metrics**: Feature adoption rate, session duration, and feature-specific retention. - **Implementation**: Build a contextual sidebar using Cursor IDE. Populate with tips based on user behavior (e.g., 'Try this feature if you haven't used X in 7 days'). - **Risks**: Overwhelming users; mitigate by A/B testing with 50% of users and iterating based on feedback. 3. **Hypothesis**: Launching a 'Referral Program' will increase organic growth by 20% in 90 days. - **Metrics**: Referral conversion rate, new user acquisition cost (CAC), and viral coefficient. - **Implementation**: Design a two-sided reward system (e.g., 'Refer a friend, get 1 month free'). Use Claude Code to automate reward distribution and track performance. - **Risks**: Low participation; mitigate by promoting the program in onboarding emails and in-app notifications. Prioritize the Quick Start tutorial first due to its potential to immediately impact retention and aligns with our goal of improving new user experience.
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