dash-gunicorn-production-server
Sub-skill of dash: Gunicorn Production Server (+2).
Best use case
dash-gunicorn-production-server is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of dash: Gunicorn Production Server (+2).
Teams using dash-gunicorn-production-server should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gunicorn-production-server/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dash-gunicorn-production-server Compares
| Feature / Agent | dash-gunicorn-production-server | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of dash: Gunicorn Production Server (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Gunicorn Production Server (+2)
## Gunicorn Production Server
```python
# wsgi.py
from app import app
server = app.server
if __name__ == "__main__":
server.run()
```
```bash
# Run with Gunicorn
gunicorn wsgi:server -b 0.0.0.0:8050 -w 4
```
## Docker Deployment
```dockerfile
# Dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
*See sub-skills for full details.*
## Cloud Deployment (Heroku)
```txt
# Procfile
web: gunicorn wsgi:server
# requirements.txt
dash>=2.14.0
dash-bootstrap-components>=1.5.0
plotly>=5.18.0
pandas>=2.0.0
gunicorn>=21.0.0
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