fastclaw-ai/data-analysis
internal/agent/bundled_skills/data-analysis/SKILL.md
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.
$ install --global
skillsauthnpx skillsauth add fastclaw-ai/fastclaw data-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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Snyk (dep)Open source security scanning
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Socket.devSupply chain security analysis
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Last scanned: Apr 22, 2026, 1:04 AM107.6s1 file scanned
SKILL.md
- name:
- data-analysis
- description:
- Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.
- always:
- false
Data Analysis Skill
Analyze and process data using Python in the sandbox.
Common Libraries
- pandas: DataFrames, CSV/JSON/Excel processing
- numpy: Numerical computing
- matplotlib: Visualization (use Agg backend)
Install if needed: pip install pandas numpy matplotlib
Common Tasks
Read and analyze CSV
import pandas as pd
df = pd.read_csv('data.csv')
print(df.describe())
print(f"\nShape: {df.shape}")
print(f"\nColumns: {list(df.columns)}")
print(f"\nFirst 5 rows:\n{df.head()}")
Create visualization from data
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pandas as pd
import base64
df = pd.read_csv('data.csv')
df.plot(kind='bar', x='category', y='value', figsize=(10, 6))
plt.title('Data Overview')
plt.tight_layout()
plt.savefig('/tmp/chart.png', dpi=150)
with open('/tmp/chart.png', 'rb') as f:
print(f').decode()})')
JSON processing
import json
with open('data.json') as f:
data = json.load(f)
# Process and analyze...
Guidelines
- Always execute the analysis — don't just show code
- Show key statistics: shape, dtypes, describe(), null counts
- For large datasets, show head/tail and summary stats
- Generate charts when it helps explain the data
- Use base64 inline images for any visualizations
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