sadjad6/trend_analysis
src/skills/data_science/trend_analysis/SKILL.md
Detect trends in temporal or sequential data
data-ai
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab trend_analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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50%
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OWASP Dep-Check
50%
Last scanned: Apr 13, 2026, 2:47 AM32.5s2 files scanned
SKILL.md
- name:
- trend_analysis
- description:
- Detect trends in temporal or sequential data
Trend Analysis
Description
Detect trends in temporal or sequential data
When to Use
When monitoring changes over time
Workflow
- Smooth data\n2. Fit trend\n3. Test significance
Tools Used
scipy, statsmodels
Examples
from src.skills.data_science.trend_analysis import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Use rolling windows for noisy data
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