dash-example-1-sales-analytics-dashboard

Sub-skill of dash: Example 1: Sales Analytics Dashboard (+2).

5 stars

Best use case

dash-example-1-sales-analytics-dashboard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of dash: Example 1: Sales Analytics Dashboard (+2).

Teams using dash-example-1-sales-analytics-dashboard 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

$curl -o ~/.claude/skills/example-1-sales-analytics-dashboard/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/data/analysis/dash/example-1-sales-analytics-dashboard/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/example-1-sales-analytics-dashboard/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dash-example-1-sales-analytics-dashboard Compares

Feature / Agentdash-example-1-sales-analytics-dashboardStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of dash: Example 1: Sales Analytics Dashboard (+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.

Related Guides

SKILL.md Source

# Example 1: Sales Analytics Dashboard (+2)

## Example 1: Sales Analytics Dashboard


```python
from dash import Dash, html, dcc, callback, Output, Input
import dash_bootstrap_components as dbc
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
import numpy as np
from datetime import datetime, timedelta


*See sub-skills for full details.*

## Example 2: Real-Time Monitoring Dashboard


```python
from dash import Dash, html, dcc, callback, Output, Input
import dash_bootstrap_components as dbc
import plotly.graph_objects as go
from collections import deque
import random
from datetime import datetime

app = Dash(__name__, external_stylesheets=[dbc.themes.CYBORG])


*See sub-skills for full details.*

## Example 3: Data Table with AG Grid


```python
from dash import Dash, html, callback, Output, Input
import dash_ag_grid as dag
import dash_bootstrap_components as dbc
import pandas as pd
import numpy as np

app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

# Generate sample data

*See sub-skills for full details.*

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