You MUST use this skill for ANY computer vision work using the Vision framework.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaxiom-ios-visionExecute the skills CLI command in your project's root directory to begin installation:
Fetches axiom-ios-vision from charleswiltgen/axiom and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate axiom-ios-vision. Access via /axiom-ios-vision in your agent's command palette.
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.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
1
total installs
1
this week
767
GitHub stars
0
upvotes
Run in your terminal
1
installs
1
this week
767
stars
You MUST use this skill for ANY computer vision work using the Vision framework.
Use this router when:
Implementation patterns → /skill axiom-vision
API reference → /skill axiom-vision-ref
Visual Intelligence integration → /skill axiom-vision-ref (see Visual Intelligence Integration section)
IntentValueQuery and SemanticContentDescriptorDiagnostics → /skill axiom-vision-diag
| Thought | Reality |
|---|---|
| "Vision framework is just a request/handler pattern" | Vision has coordinate conversion, confidence thresholds, and performance gotchas. vision covers them. |
| "I'll handle text recognition without the skill" | VNRecognizeTextRequest has fast/accurate modes and language-specific settings. vision has the patterns. |
| "Subject segmentation is straightforward" | Instance masks have HDR compositing and hand-exclusion patterns. vision covers complex scenarios. |
| "Visual Intelligence is just the camera API" | Visual Intelligence is a system-level feature requiring IntentValueQuery and SemanticContentDescriptor. vision-ref has the integration section. |
vision:
vision-diag:
User: "How do I detect hand pose in an image?"
→ Invoke: /skill axiom-vision
User: "Isolate a subject but exclude the user's hands"
→ Invoke: /skill axiom-vision
User: "How do I read text from an image?"
→ Invoke: /skill axiom-vision
User: "Scan QR codes with the camera"
→ Invoke: /skill axiom-vision
User: "How do I implement document scanning?"
→ Invoke: /skill axiom-vision
User: "Use DataScannerViewController for live text"
→ Invoke: /skill axiom-vision
User: "Subject detection isn't working"
→ Invoke: /skill axiom-vision-diag
User: "Text recognition returns wrong characters"
→ Invoke: /skill axiom-vision-diag
User: "Barcode not being detected"
→ Invoke: /skill axiom-vision-diag
User: "Show me VNDetectHumanBodyPoseRequest examples"
→ Invoke: /skill axiom-vision-ref
User: "What symbologies does VNDetectBarcodesRequest support?"
→ Invoke: /skill axiom-vision-ref
User: "RecognizeDocumentsRequest API reference"
→ Invoke: /skill axiom-vision-ref
User: "How do I make my app work with Visual Intelligence?"
→ Invoke: /skill axiom-vision-ref
User: "How do users discover my app content through the camera?"
→ Invoke: /skill axiom-vision-ref
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
axiom-ios-vision reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in axiom-ios-vision — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: axiom-ios-vision is the kind of skill you can hand to a new teammate without a long onboarding doc.
axiom-ios-vision is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend axiom-ios-vision for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
axiom-ios-vision is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: axiom-ios-vision is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added axiom-ios-vision from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: axiom-ios-vision is focused, and the summary matches what you get after install.
axiom-ios-vision has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 61