sadjad6/time_series_decomposition
src/skills/data_science/time_series_decomposition/SKILL.md
Decompose time series into trend, seasonality, residual
tools
Updated Apr 13, 2026
$ install --global
skillsauthnpx skillsauth add sadjad6/open-autonomous-research-lab time_series_decompositionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 13, 2026, 2:47 AM25.7s2 files scanned
SKILL.md
- name:
- time_series_decomposition
- description:
- Decompose time series into trend, seasonality, residual
Time Series Decomposition
Description
Decompose time series into trend, seasonality, residual
When to Use
When analyzing temporal patterns
Workflow
- Detect frequency\n2. Decompose\n3. Analyze components
Tools Used
statsmodels
Examples
from src.skills.data_science.time_series_decomposition import Skill
skill = Skill()
result = await skill.run(SkillInput(data={"key": "value"}))
Best Practices
Choose additive vs multiplicative based on variance
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