Phase data analyze
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.From its SKILL.md
npx -y skills add stanislavjiricek/neuroflow --skill phase-data-analyzeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.6 KB, as published. Nobody here has run it
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.mdfirst; 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.mdto.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.