A comprehensive cross-platform toolkit for OS automation, screenshot capture, visual recognition, mouse/keyboard control, and window management. Supports macOS 12+ and Windows 10+.
Confirm successful installation by checking the skill directory location:
.cursor/skills/os-use
Restart Cursor to activate os-use. Access via /os-use in your agent's command palette.
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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.
A comprehensive cross-platform toolkit for OS automation, screenshot capture, visual recognition, mouse/keyboard control, and window management. Supports macOS 12+ and Windows 10+.
Platform Support Matrix
Feature
macOS Implementation
Windows Implementation
Screenshot
pyautogui + PIL
pyautogui + PIL
Visual Recognition
opencv-python + pyautogui
opencv-python + pyautogui
Mouse/Keyboard
pyautogui
pyautogui
Window Management
AppleScript (native)
pywinauto / pygetwindow
Application Control
AppleScript / subprocess
subprocess / pywinauto
Browser Automation
Chrome DevTools MCP
Chrome DevTools MCP
Capabilities
1. Screenshot Capture ๐ธ
Universal (macOS & Windows):
Full screen capture
Region capture (specified coordinates)
Window capture (specific application window)
Clipboard screenshot access
Implementation:pyautogui.screenshot() + PIL.Image
2. Visual Recognition ๐๏ธ
Universal (macOS & Windows):
Image matching/locating on screen
Template matching with confidence threshold
Multi-scale matching (handle different resolutions)
Color detection and region extraction
Optional OCR:
Text recognition from screenshots (requires pytesseract + Tesseract OCR engine)
โบAccess to product documentation and roadmap tools (Jira, Notion, etc.)
โบUnderstanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
โบStakeholder 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
โ Not validating competitive researchโverify facts before sharing
โ Accepting user stories without involving engineering team
โ Over-relying on frameworks without qualitative judgment
โ Not customizing outputs to company culture and communication style
โ Skipping stakeholder validation of generated requirements
Best Practices
โ 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
โ Don't
โDon't publish competitive analysis without fact-checking
โDon't finalize user stories without engineering review
โDon't make prioritization decisions solely on AI scoring
โDon't skip customer validation of generated requirements
โDon't ignore company-specific context and culture
๐ก Pro Tips
โ Provide context: company goals, constraints, customer feedback
โ Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
โ Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
โ Use skill for 70% generation + 30% customization to company needs
When to Use This
โ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
โ 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