deeleeramone/pywry/deploy
Claude Code and agent skill by deeleeramone/pywry
Trust tier 2
- community
Source check pending
Checking that the SKILL.md file is still in the repository.
Install
npx vskill@latest install deeleeramone/pywry/deploySKILL.md
Production Deploy Mode
CRITICAL: This mode is for production servers serving multiple concurrent users.Widgets are stateless. State lives externally. Scale horizontally.
What Deploy Mode IS
You're creating widgets for a production SSE server with:
- Multiple concurrent users/sessions
- Stateless widget creation
- Horizontal scaling support
- Persistent widget URLs
Architecture
Key Principles
Widgets Are Stateless
- Widget instances don't persist server state
- Store state externally (Redis, database, etc.)
- Any server can handle any widget update
Session Management
- Each user gets a unique widget_id
- Map widget_id to user session externally
- Implement timeouts and cleanup
Horizontal Scaling
- Servers behind load balancer
- SSE connections are per-server (sticky sessions may help)
- Widget operations are idempotent
Best Practices
1. Widget IDs - Use Meaningful IDs
2. State - Store Externally
3. Cleanup - Destroy Widgets
4. Theme - User Choice
Recommended Components
| Component | Why | |
|---|---|---|
Div | Server-rendered content | |
Button | Explicit user actions (trackable) | |
RadioGroup/TabGroup | View switching (state trackable) | |
AG Grid | Large datasets (show_dataframe) |
Multi-User Considerations
No Cross-Talk
Session Monitoring
Broadcast Updates
Scaling Patterns
Sticky Sessions (Simple)
Redis Pub/Sub (Advanced)
Code Example
Production Checklist
- [ ] Widget IDs include user/session info
- [ ] State stored in external store (Redis/DB)
- [ ] Session timeouts implemented
- [ ]
destroy_widgetcalled on disconnect - [ ] Error handling for all operations
- [ ] Logging for debugging
- [ ] Metrics for monitoring (active sessions, events/sec)
- [ ] Load balancer configured
- [ ] Health check endpoint available
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingpywry/pywry/mcp/skills/deploy/SKILL.md
Popularity
- Repository stars
- 89
- Repository forks
- 7
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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