identify-assumptions-new▌
phuryn/pm-skills · updated Apr 8, 2026
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Comprehensive risk identification across 8 categories — extending the 4 core product risks (Teresa Torres, Continuous Discovery Habits) with Ethics, Go-to-Market, Strategy & Objectives, and Team risks that are critical for new products.
Identify Assumptions (New Product)
Comprehensive risk identification across 8 categories — extending the 4 core product risks (Teresa Torres, Continuous Discovery Habits) with Ethics, Go-to-Market, Strategy & Objectives, and Team risks that are critical for new products.
Context
You are evaluating assumptions for a new product: $ARGUMENTS.
If the user provides files (business plans, research), read them first.
Domain Context
The 4 core product risks (Teresa Torres, Continuous Discovery Habits): Value, Usability, Viability, Feasibility.
For new products, extend to 8 risk categories. Good teams assume at least three-quarters of their ideas won't perform as they hope.
Instructions
The user will describe the product concept, target segment, and feature idea. Work through these steps:
-
Think from three perspectives about why this product might fail:
- Product Manager: Market demand, willingness to pay, competitive landscape
- Designer: First-time user experience, onboarding, engagement
- Engineer: Build vs. buy decisions, scalability, technical debt
-
Identify assumptions across 8 risk categories:
- Value: Will it create value for customers? Will they keep using it?
- Usability: Will people figure out how to use it? Can we onboard them fast enough? Will it increase cognitive load?
- Viability: Can we sell/monetize/finance it? Is it worth the cost? Can we support customers and help them succeed? Can we scale? Will it be compliant?
- Feasibility: Can we do it with the current technology? Is this integration possible? Can it be efficient? Can we scale it?
- Ethics: Should we do it at all? Are there any ethical considerations? Will it pose a risk for our customers?
- Go-to-Market (especially critical for new products): Can we market it? Do we have the required channels? Can we convince customers to try it? Is this the right messaging for this channel? Is this the right time? Is this the right way to launch it?
- Strategy & Objectives: What are our assumptions? Can others copy our strategy? Have we considered political, economic, legal, technological, and environmental factors? Are those the best problems to solve?
- Team: How well will the team work together? Do we have the right people? Do we have the right tools? Will the entire team stay with us long enough?
-
For each assumption, rate confidence and suggest a test.
Think step by step. Save as markdown.
Further Reading
How to use identify-assumptions-new on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add identify-assumptions-new
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches identify-assumptions-new from GitHub repository phuryn/pm-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate identify-assumptions-new. Access the skill through slash commands (e.g., /identify-assumptions-new) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★67 reviews- ★★★★★Zaid White· Dec 16, 2024
Useful defaults in identify-assumptions-new — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Jain· Dec 4, 2024
I recommend identify-assumptions-new for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Xiao Thomas· Dec 4, 2024
I recommend identify-assumptions-new for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chen Singh· Nov 27, 2024
identify-assumptions-new reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Alexander Li· Nov 27, 2024
Registry listing for identify-assumptions-new matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ira Zhang· Nov 23, 2024
Keeps context tight: identify-assumptions-new is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Neel Sanchez· Nov 23, 2024
Keeps context tight: identify-assumptions-new is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Harper Thompson· Nov 7, 2024
identify-assumptions-new is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Harper Jackson· Oct 26, 2024
Keeps context tight: identify-assumptions-new is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chen Rahman· Oct 18, 2024
Registry listing for identify-assumptions-new matched our evaluation — installs cleanly and behaves as described in the markdown.
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