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ai-agent

performance_management: Boost Productivity

Get an internal performance management system for your manufacturing business with performance_management. For startup founders in the manufacturing industry.
intermediateโฑ 1-2 hours๐Ÿ’ต Free tier + paid plans
34 stars13 forksHTMLQuality 8/10Updated 11/21/2020100% free ยท open source
What it is

Use the performance_management skill to set up an internal performance management system for your manufacturing business.

What you can make with it

Automated workflows for tracking and improving production efficiency in real-time.

How it helps

This skill helps you streamline performance tracking and analysis, freeing up resources for strategy and innovation.

Real use case example

"A founder of a small manufacturing business uses this skill to create a real-time dashboard for tracking inventory levels, production targets, and quality metrics, and sets alerts for when anomalies occur. In just a few hours, they can make informed decisions to optimize their production processes and reduce waste."

If you're new

Pick this up if you're new to performance management and want to get started quickly with a user-friendly interface.

If you're senior

Use this skill if you're an experienced developer looking to integrate advanced performance tracking and analytics into your manufacturing operations.

Common confusion cleared up

This skill uses Django, a popular Python framework, under the hood, but you don't need to write any Python code to use it.

Best inside these AI tools
Claude Desktop
Pairs with
Claude APIStripe webhookNotion database
Why we list it on WorkflowStacks: This skill integrates with popular AI tools to provide a comprehensive performance management solution.
What it does

The performance_management tool provides an internal performance management system for manufacturing businesses to track and manage employee performance

Install / run
Clone the repository using `git clone https://github.com/LvPeng990324/performance_management.git`
When to use it
  • โ€ขWhen you need to standardize performance evaluations across your manufacturing team
  • โ€ขWhen you want to automate performance tracking and reporting
  • โ€ขWhen you need to align employee goals with company objectives
Quick start
  1. 1Navigate to the project directory using `cd performance_management`
  2. 2Create a new Django project using `django-admin startproject config`
  3. 3Apply database migrations using `python manage.py migrate`
  4. 4Create a superuser account using `python manage.py createsuperuser`
  5. 5Start the development server using `python manage.py runserver`
Ready-to-paste prompt
To create a new employee record, use the command `python manage.py shell` and then `from performance_management.models import Employee; Employee.objects.create(name='John Doe', department='Manufacturing')`
Heads up: Make sure you have Python 3.8 or later and Django 3.2 or later installed, as the project uses these versions
Saves to your device
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

7
top-level files
7
folders
8.2M
repo size
โ€”
license
Key files
README.md
File tree
backups/
logs/
media/
performance/
performance_management/
static/
templates/
.gitignore
gunicorn_conf.py
manage.py
nginx.conf
README.md
requestments.txt
start_gunicorn.sh
Quick Actions
Details
Creator
LvPeng990324
Language
HTML
Category
ai-agent
Published
1/21/2020

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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