From file to useful result
How to ask with this skill installed
Installing the skill gives your AI a method. Your request still has to provide the case-specific facts, constraints and expected output.
1Name the real task
Describe the decision or deliverable, not just the topic.
2Provide the evidence
Add source material, audience, limits and known facts.
3Define done
Set format, quality criteria and checks.
Adaptable starting prompt
Replace the brackets with your case
Mistakes to avoid
Issue: Legend Outside Plot Area
Figure-level functions place legends outside by default. To move inside:
g = sns.relplot(data=df, x='x', y='y', hue='category')
g._legend.set_bbox_to_anchor((0.9, 0.5)) # Adjust position
Issue: Overlapping Labels
plt.xticks(rotation=45, ha='right')
plt.tight_layout()
Issue: Figure Too Small
For figure-level functions:
sns.relplot(data=df, x='x', y='y', height=6, aspect=1.5)
For axes-level functions:
fig, ax = plt.subplots(figsize=(10, 6))
sns.scatterplot(data=df, x='x', y='y', ax=ax)
Issue: Colors Not Distinct Enough
# Use a different palette
sns.set_palette("bright")
# Or specify number of colors
palette = sns.color_palette("husl", n_colors=len(df['category'].unique()))
sns.scatterplot(data=df, x='x', y='y', hue='category', palette=palette)
Issue: KDE Too Smooth or Jagged
# Adjust bandwidth
sns.kdeplot(data=df, x='x', bw_adjust=0.5) # Less smooth
sns.kdeplot(data=df, x='x', bw_adjust=2) # More smooth