| name | phase-data-analyze |
| description | Phase guidance for the neuroflow /data-analyze command. Loaded automatically when /data-analyze is invoked to orient agent behavior, relevant skills, and workflow hints for the data-analyze phase. |
phase-data-analyze
The data-analyze phase applies statistical and computational methods to preprocessed data to test the research hypothesis.
Approach
- Read
.neuroflow/ideation/ for the research question and .neuroflow/data-preprocess/ for the preprocessing report before choosing methods
- Write an
analysis-plan.md first; do not write analysis code before the plan is accepted
- Audit statistical assumptions explicitly (normality, sphericity, independence) before selecting tests
- Apply appropriate multiple-comparison correction; if omitted, flag it and explain why
Relevant skills
neuroflow:neuroflow-core — read first; defines the command lifecycle and .neuroflow/ write rulesneuroflow:bids — invoke when querying dataset structure with pybids, loading subject/session/task metadata from participants.tsv and events.tsv, or writing analysis outputs to BIDS derivatives
Workflow hints
- All code, results, and figures go to
output_path (scripts/analysis/, results/, figures/), not inside .neuroflow/
- Save
analysis-plan.md to .neuroflow/data-analyze/ before running any scripts
- Log deviations from a pre-registered analysis plan in
.neuroflow/reasoning/data-analyze.json
Slash command
/neuroflow:data-analyze — runs this workflow as a slash command.
