Confirm successful installation by checking the skill directory location:
.cursor/skills/dotnet-project-structure
Restart Cursor to activate dotnet-project-structure. Access via /dotnet-project-structure in your agent's command palette.
β
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Use the dotnet sln migrate command to convert existing solutions:
# Migrate a specific solution filedotnet sln MySolution.sln migrate
# Or if only one .sln exists in the directory, just run:dotnet sln migrate
Important: Do not keep both .sln and .slnx files in the same repository. This causes issues with automatic solution detection and can lead to sync problems. After migration, delete the old .sln file.
You can also migrate in Visual Studio:
Open the solution
Select the Solution in Solution Explorer
Go to File > Save Solution As...
Change "Save as type" to Xml Solution File (*.slnx)
Creating a New .slnx Solution
# .NET 10+: Creates .slnx by defaultdotnet new sln --name MySolution
# .NET 9: Specify the format explicitlydotnet new sln --name MySolution --format slnx
# Add projects (works the same for both formats)dotnet sln add src/MyApp/MyApp.csproj
Recommendation
If you're using .NET 9.0.200 or later, migrate your solutions to .slnx. The benefits are significant:
Dramatically fewer merge conflicts (no random GUIDs changing)
Human-readable and editable in any text editor
Consistent with modern .csproj format
Better diff/review experience in pull requests
Directory.Build.props
Directory.Build.props provides centralized build configuration that applies to all projects in a directory tree. Place it at the solution root.
βΊAccess to product documentation and roadmap tools (Jira, Notion, etc.)
βΊUnderstanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
βΊStakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
1Install product management skill
2Start with user story generation for known feature
3Progress to competitive analysis: research 2-3 competitors
4Use for roadmap prioritization: apply RICE/ICE scoring
5Draft stakeholder communications and refine based on feedback
6Build template library for recurring PM tasks
7Share effective prompts with product team
Common Pitfalls
β Not validating competitive researchβverify facts before sharing
β Accepting user stories without involving engineering team
β Over-relying on frameworks without qualitative judgment
β Not customizing outputs to company culture and communication style
β Skipping stakeholder validation of generated requirements
Best Practices
β 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
β Don't
βDon't publish competitive analysis without fact-checking
βDon't finalize user stories without engineering review
βDon't make prioritization decisions solely on AI scoring
βDon't skip customer validation of generated requirements
βDon't ignore company-specific context and culture
π‘ Pro Tips
β Provide context: company goals, constraints, customer feedback
β Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
β Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
β Use skill for 70% generation + 30% customization to company needs
When to Use This
β Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
β 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