skills/phase-review/SKILL.md
Phase guidance for the neuroflow /review command. Loaded automatically when /review is invoked. Orients Claude for acting as a formal peer reviewer of a colleague's neuroscience paper.
npx skillsauth add stanislavjiricek/neuroflow phase-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Orientation for the /review command. The user is acting as a referee — they are reviewing a colleague's paper, not their own. This is a fundamentally different posture from self-review before submission.
Do not perform the review directly. Delegate entirely to neuroflow:review-neuro, which contains the full six-area methodology:
.neuroflow/review/review-[paper-title-slug]-[date].md (inside .neuroflow/, as it is a personal work product, not a shareable deliverable)## milestone header is appended to .neuroflow/sessions/YYYY-MM-DD.md including the save path and the recommendation (ACCEPT/REJECT/MAJOR/MINOR) — never paste the full review into the session logneuroflow:review-neuro — the core review engine; all six areas live hereneuroflow:neuroflow-core — shared lifecycle rules (read project_config.md and flow.md first; write sessions last)This skill is loaded automatically by /neuroflow:review. If invoked directly without that command, run the full review workflow and mention at the end:
💡 You can also run
/neuroflow:reviewto start the peer review workflow as a slash command next time.
testing
This skill should be used whenever the user mentions BIDS, Brain Imaging Data Structure, BIDS conversion, BIDS validation, BIDS compliance, organizing neuroimaging data, dataset_description.json, participants.tsv, bids-validator, pybids, MNE-BIDS, or asks how to structure EEG/MEG/fMRI/iEEG/PET/DWI data for sharing or preprocessing. Also invoke when the user asks how to name scan files, what sidecar JSON fields are needed, how to set up derivatives/, or how to run fMRIPrep/MRIQC on their dataset. Invoke proactively during /data, /data-preprocess, and /data-analyze phases whenever the dataset structure is relevant to the task at hand.
tools
Phase guidance for the /meeting command. Covers meeting file structure, recurring templates, attendee resolution from profiles, Google Calendar MCP integration, agenda preparation with project context, and action-item-to-task conversion at all three levels (project, flowie, hive).
data-ai
Worker-critic agentic loop protocol — orchestrator coordinates a worker agent and a critic agent across up to 3 revision cycles to produce a vetted output for any phase.
development
Knowledge base skill — Karpathy-style LLM-maintained wiki at three levels (personal/flowie, project, team/hive). Handles ingest, query, lint, schema, and project-tagging workflows. Invoked by /flowie --wiki-* (personal), /wiki (project), /hive --wiki-* (team).