skills/phase-grant-proposal/SKILL.md
Phase guidance for /grant-proposal with deep funder knowledge, neuroscience-specific grant tactics, review criteria alignment, and workflow orchestration.
npx skillsauth add stanislavjiricek/neuroflow phase-grant-proposalInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The grant-proposal phase translates a defined research question into a competitive, funder-ready application. It begins with automatic discovery of ideation outputs and ends with a fully drafted, word-counted, reviewer-aligned document saved to .neuroflow/grant-proposal/.
Before drafting anything, verify:
interview-[funder]-[date].md.neuroflow/objectives.md (one numbered sentence per objective)Never skip the interview. Never draft without confirmed objectives.
Ask questions one or two at a time — conversational, not a form. Build context progressively.
Required questions:
.neuroflow/ideation/ exists)After the interview:
.neuroflow/grant-proposal/interview-[funder]-[date].md.neuroflow/objectives.md (create or update)Objectives in .neuroflow/objectives.md are cornerstones for the entire grant. Rules:
objectives.md before drafting every sectionobjectives.md immediately and note the change in reasoning/grant-proposal.jsonWhen the user agrees to panel research:
| Panel name | Member | Research background | Relevance to project |.neuroflow/grant-proposal/panels/panel-analysis-[funder]-[date].mdWhen the user provides previous grant documents:
| New grant section | Grant A | Grant B |
|---------------------|----------------------|----------------------|
| Specific Aims | Sec 1 (pp. 1–2) | Introduction (pp. 1–3)|
| Background | Lit Review (pp. 3–6) | Background (pp. 2–5) |
| Innovation | Novelty (p. 7) | Not present |
| Approach | Methods (pp. 8–14) | Research Plan (pp. 6–12)|
| Budget | Budget (pp. 15–16) | Budget narrative (p.13)|
.neuroflow/grant-proposal/inspiration-map-[date].mdIf ideation files exist (.neuroflow/ideation/*.md):
If no ideation files exist: the interview questions cover everything needed.
Budget figures, page limits, and scheme names are approximate typical values as of 2024–2025. Verify against the current call document or funder website before advising a user — requirements change each cycle.
For each major funder, map every section of the proposal to the review criterion it addresses:
| Section | NIH criterion | ERC criterion | Wellcome criterion | |---|---|---|---| | Specific Aims | Significance + Innovation | Scientific excellence | Scientific opportunity | | Background | Significance | Scientific excellence | Scientific opportunity | | Innovation | Innovation | Scientific excellence | — | | Approach | Approach + Environment | Quality of implementation | Delivery | | Team | Investigators | Quality of implementation | Team | | Budget | — | Quality of implementation | Delivery | | Preliminary data | Approach | Scientific excellence | Delivery |
Use this mapping to ensure reviewer criteria are explicitly addressed in the text — never assume reviewers will infer alignment.
.neuroflow/ideation/ — research question, literature, study design drafts.neuroflow/project_config.md — team, institution, phase, modality.neuroflow/objectives.md — project objectives cornerstones (re-read before every section).neuroflow/grant-proposal/flow.md — prior grant context if resuming.neuroflow/objectives.md — written/updated after interview confirms objectives.neuroflow/grant-proposal/interview-[funder]-[date].md — interview transcript.neuroflow/grant-proposal/inspiration-map-[date].md — cross-reference table (if previous grants provided).neuroflow/grant-proposal/panels/panel-analysis-[funder]-[date].md — panel profiles (if panel research done).neuroflow/grant-proposal/draft-[funder]-[date]-[section].md — per-section drafts.neuroflow/grant-proposal/grant-[funder]-[date].md — full consolidated draft.neuroflow/grant-proposal/flow.md — funder, scheme, deadline, section status.neuroflow/sessions/YYYY-MM-DD.md — session log (using ## milestone headers)project_config.md — funder and deadline (with user confirmation)/ideation — if no research question exists, redirect the user there first/experiment — paradigm details flow into the Approach section/preregistration — registered analysis plan can be referenced in the Approach/write-report — funder progress reports use the same structureEach drafted section is presented as a standalone block:
## [Section name] ([page limit] page / [word limit] words)
[Drafted content]
---
Word count: NNN / NNN limit ✅ within limit / ⚠️ over by NNN words
After each section, offer:
"revise" — rework the current section"next" — proceed to the next section"expand [topic]" — add depth to a specific part of the current section"save" — write current section to the draft file"checklist" — run the quality checklist against the current sectionneuroflow:neuroflow-core — lifecycle and .neuroflow/ write rules (read first)neuroflow:phase-ideation — if user needs to define the research question firstneuroflow:phase-experiment — paradigm design details for the Approach sectionneuroflow:phase-preregistration — link registered analysis planneuroflow:humanizer — apply to every drafted section to strip AI signatures, fix rhythm, and calibrate register so the prose reads as genuinely human-authoredsequentialthinking MCP — invoke before drafting Innovation and Approach sections to build a rigorous logical argument chain/neuroflow:grant-proposal — runs this workflow as a slash command.
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).