skills/phase-output/SKILL.md
Phase guidance for the neuroflow /output command. Orients agent approach for outputting project memory or the whole project safely and with correct exclusions.
npx skillsauth add stanislavjiricek/neuroflow phase-outputInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The /output command packages and moves project data out of the workspace. Its job is to give the user a clean, portable snapshot without accidentally including sensitive files.
sessions/ (local-only, can be large) and integrations.json (API credentials — must never be shared)zipfile module first; fall back to system zip/tar only if Python is unavailable.neuroflow/ state during export — the command is read-only except for writing the export log| Scope | Best for |
|---|---|
| Project memory (.neuroflow/ minus exclusions) | Sharing context with a collaborator who has their own codebase; supervision meetings; archiving project decisions and reasoning |
| Whole project (git-tracked + .neuroflow/) | Full handoff, long-term archiving, submitting to a data repository |
| Single phase | Focused handoff — e.g. sending only the data-analyze/ memory to a statistician |
| Excluded | Reason |
|---|---|
| .neuroflow/sessions/ | Local-only operation log — large, personal, not meaningful to external recipients |
| .neuroflow/integrations.json | API credentials (PubMed email, Miro token) — must never leave the local machine |
If the user explicitly asks to include sessions or credentials, explain why that is inadvisable and confirm they still want to before proceeding.
Default names for export outputs:
output-[project-slug]-[YYYY-MM-DD].zip
output-[project-slug]-[YYYY-MM-DD]/ (folder copy)
output-[phase]-[project-slug]-[YYYY-MM-DD].zip (single-phase)
Where project-slug is the project name from project_config.md, lowercased with spaces replaced by hyphens.
paper/ exists, offer to run /write-report to generate a summary first, then include it in the export alongside any manuscript files from the paper output path/write-report first to generate a summary, then include it in the export.neuroflow/reasoning/ is included in the memory export and contains all documented decisionsDo not suggest Notion or other cloud integrations — they are not implemented yet.
neuroflow:neuroflow-core — read first; defines the command lifecycle and .neuroflow/ write rulesneuroflow:notebooklm — when the user wants a podcast, infographic, slide deck, or audio summary generated from exported project materials, invoke the notebooklm skill to create a NotebookLM notebook and feed the exported files into it as sourcestesting
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).