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docs - Guide PydFC dFC tutorial workflows

Provides evidence-based, copy-paste guidance for installing PydFC, preparing demo data, loading time series, and running dFC methods.

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Updated: 2026-10-06

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Guide installation
  • Download demo data
  • Load BOLD time series
  • Choose dFC methods
  • Provide code examples
  • Explain method assumptions
  • Apply evidence-based guidance
  • Avoid source edits

Inputs

  • User workflow choice
  • PydFC repository documentation
  • Demo data
  • Runtime environment
  • Exact traceback

Outputs

  • Installation commands
  • Data download commands
  • Time-series loading snippets
  • dFC method snippets
  • Method explanations
  • Uncertainty statements
  • Interactive method questions

Requirements

  • Python 3.11 environment
  • Installed pydfc package
  • Repository documentation files
  • Multiple subjects for state-based methods

Source

  • Spec: SKILL.md

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PydFC
dynamic functional connectivity
tutorial
scientific guidance
time series
neuroimaging
copy-paste workflows
Guide installation
Download demo data
Load BOLD time series
Choose dFC methods
User workflow choice
PydFC repository documentation
Demo data
Installation commands
Data download commands
Time-series loading snippets