| name | phase-brain-build |
| description | Phase guidance for the neuroflow /brain-build command. Loaded automatically when /brain-build is invoked to orient agent behavior, relevant skills, and workflow hints for assembling computational brain models. |
phase-brain-build
The brain-build phase covers the design and implementation of a computational brain model — neuron model selection, network topology, connectivity rules, and simulation framework setup.
Approach
- Clarify the target circuit, abstraction level, and simulation framework before writing any code
- Write
model-spec.md first; get user confirmation before implementation begins
- Start minimal: get a single neuron firing correctly before connecting a network
- Apply framework-specific best practices (NEURON
.hoc/.py conventions, Brian2 NeuronGroup/Synapses patterns, NetPyNE netParams/simConfig structure, NEST Create/Connect idioms)
Relevant skills
neuroflow:neuroflow-core — read first; defines the command lifecycle and .neuroflow/ write rules
Workflow hints
- All model code goes to
output_path (models/), not inside .neuroflow/
- Save
model-spec.md to .neuroflow/brain-build/ before writing any implementation
- Note key architecture decisions (neuron model chosen, connectivity rule, library selected) in
.neuroflow/reasoning/brain-build.json
- Common frameworks: NEURON, Brian2, NetPyNE, NEST, tvb-library, Custom Python/Julia
Slash command
/neuroflow:brain-build — runs this workflow as a slash command.
