fix(specs): restore correct spec templates after feature branch merge

Author: MarkusNeusinger

specs/area-basic.md

@@ -1,81 +1,31 @@
 # area-basic: Basic Area Chart
 
-A fundamental area chart that visualizes data as a filled region between the line and the axis, ideal for showing magnitude and trends over time or ordered categories.
+## Description
 
-## Data Requirements
+An area chart displaying a single data series as a filled region under a line. The filled area emphasizes magnitude and cumulative values over a sequence, making trends more visually impactful than simple line plots. Best suited for time series data where you want to highlight volume or accumulated quantities.
 
-- **x**: Numeric or categorical column for x-axis values (often time or sequence)
-- **y**: Numeric column for y-axis values (the values to plot)
+## Data
 
-## Optional Parameters
+**Required columns:**
+- `x` (numeric/datetime) - sequential values for the horizontal axis (typically time)
+- `y` (numeric) - values for the vertical axis representing magnitude
 
-- `figsize`: Figure size as (width, height) tuple (default: (10, 6))
-- `alpha`: Transparency level for fill (default: 0.5)
-- `color`: Fill color (default: "steelblue")
-- `title`: Plot title (default: None)
-- `xlabel`: X-axis label (default: uses column name)
-- `ylabel`: Y-axis label (default: uses column name)
-- `line_color`: Color of the line on top of area (default: same as color)
-- `line_width`: Width of the line (default: 2)
-
-## Expected Output
-
-An area chart with:
-- X and Y axes labeled with column names (or custom labels)
-- Filled area between the line and the x-axis
-- Visible line on top of the filled area
-- Grid visible but subtle (alpha ≤ 0.3)
-- Professional appearance with proper spacing
-- Smooth transitions between data points
-
-## Quality Criteria
-
-- [x] Axes labeled clearly
-- [x] Grid visible but subtle
-- [x] Area fill clearly visible with appropriate transparency
-- [x] Line visible on top of area
-- [x] No overlapping labels
-- [x] Appropriate figure size
-- [x] Type hints and validation present
-
-## Examples
-
-### Example 1: Basic Usage
+**Example:**
 ```python
 import pandas as pd
 data = pd.DataFrame({
-    'month': [1, 2, 3, 4, 5, 6],
-    'sales': [100, 150, 130, 180, 200, 220]
+    'month': ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
+    'sales': [120, 135, 148, 162, 175, 195, 210, 198, 185, 170, 158, 190]
 })
-fig = create_plot(data, 'month', 'sales')
 ```
 
-### Example 2: Custom Styling
-```python
-fig = create_plot(
-    data,
-    'month',
-    'sales',
-    alpha=0.3,
-    color='green',
-    title='Monthly Sales'
-)
-```
-
-## Implementation Notes
-
-- Use appropriate alpha value for fill visibility
-- Ensure the line is visible above the filled area
-- Handle missing/NaN values gracefully
-- Validate that y column contains numeric data
-
 ## Tags
 
-area, trend, time-series, basic, 2d
+area, trend, timeseries, basic, 2d
 
 ## Use Cases
 
-- Visualizing stock price trends over time
-- Showing website traffic patterns by hour or day
-- Displaying cumulative sales or revenue data
-- Monitoring resource usage (CPU, memory) over time
+- Visualizing website traffic volume over time
+- Showing cumulative sales or revenue trends across quarters
+- Tracking system resource usage (CPU, memory) over time
+- Displaying temperature variations throughout a day