feat(seaborn): implement line-styled (#2610)

## Implementation: `line-styled` - seaborn

Implements the **seaborn** version of `line-styled`.

**File:** `plots/line-styled/implementations/seaborn.py`

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20594555070)*

---------

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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/line-styled/implementations/seaborn.py

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+""" pyplots.ai
+line-styled: Styled Line Plot
+Library: seaborn 0.13.2 | Python 3.13.11
+Quality: 94/100 | Created: 2025-12-30
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+import seaborn as sns
+
+
+# Data - Temperature trends across seasons
+np.random.seed(42)
+months = np.arange(1, 13)
+month_names = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
+
+# Temperature patterns for different regions (°C)
+base_temp = np.array([5, 7, 12, 16, 21, 25, 28, 27, 23, 17, 11, 6])
+coastal = base_temp + np.random.randn(12) * 0.5 + 3
+continental = base_temp + np.random.randn(12) * 0.5 - 2
+mountain = base_temp + np.random.randn(12) * 0.5 - 8
+mediterranean = base_temp + np.random.randn(12) * 0.5 + 5
+
+# Plot
+fig, ax = plt.subplots(figsize=(16, 9))
+sns.set_style("whitegrid")
+
+# Line styles: solid, dashed, dotted, dashdot
+line_styles = ["-", "--", ":", "-."]
+colors = ["#306998", "#FFD43B", "#2E8B57", "#DC143C"]
+labels = ["Coastal", "Continental", "Mountain", "Mediterranean"]
+data_series = [coastal, continental, mountain, mediterranean]
+
+for data, label, ls, color in zip(data_series, labels, line_styles, colors, strict=True):
+    sns.lineplot(x=months, y=data, ax=ax, linestyle=ls, linewidth=3.5, color=color, label=label)
+
+# Styling
+ax.set_xlabel("Month", fontsize=20)
+ax.set_ylabel("Temperature (°C)", fontsize=20)
+ax.set_title("line-styled · seaborn · pyplots.ai", fontsize=24)
+ax.tick_params(axis="both", labelsize=16)
+ax.set_xticks(months)
+ax.set_xticklabels(month_names, fontsize=14)
+ax.legend(fontsize=16, loc="upper right", framealpha=0.9)
+ax.grid(True, alpha=0.3, linestyle="--")
+
+plt.tight_layout()
+plt.savefig("plot.png", dpi=300, bbox_inches="tight")

plots/line-styled/metadata/seaborn.yaml

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+library: seaborn
+specification_id: line-styled
+created: '2025-12-30T10:37:42Z'
+updated: '2025-12-30T10:44:16Z'
+generated_by: claude-opus-4-5-20251101
+workflow_run: 20594555070
+issue: 0
+python_version: 3.13.11
+library_version: 0.13.2
+preview_url: https://storage.googleapis.com/pyplots-images/plots/line-styled/seaborn/plot.png
+preview_thumb: https://storage.googleapis.com/pyplots-images/plots/line-styled/seaborn/plot_thumb.png
+preview_html: null
+quality_score: 94
+review:
+  strengths:
+  - Excellent use of all four standard line styles (solid, dashed, dotted, dash-dot)
+    clearly differentiating the series
+  - Realistic temperature data context with appropriate seasonal patterns across different
+    climate regions
+  - Clean, readable code following KISS principles with proper seed for reproducibility
+  - Good font sizing throughout meeting the 4800×2700 target resolution requirements
+  - Proper title format and axis labels with units
+  weaknesses:
+  - Could leverage seaborn native palette system instead of manually specifying colors
+  - Data context is generic (Coastal, Continental) rather than specific real-world
+    regions