Brainstorming

Brainstorming

Brainstorm before you build

• Before starting any creative or feature work — a new feature, added functionality, a behavioral

change, a nontrivial design decision — stop and run this workflow before writing implementation code.

• The aim: turn the request into a validated design, recorded as a spec-graph task-spec, that the user

has explicitly approved — not a guess you implement and hope lands.

• Never implement during brainstorming. If you catch yourself opening a source file to make a change

before the design is approved, stop.

Anti-pattern: "this is too small to need this"

Every request goes through this, however small it looks. A one-line config change and a new subsystem both benefit from a few minutes of "what does the user actually want and why" — that is where wrong assumptions get caught cheaply. Scale the depth to the task; never skip the workflow entirely.

The workflow

1. Orient. Use the spec-graph skill's tools first — spec_grep/spec_get/spec_graph — to find

what the project already says about the area; read code second, to confirm details.

1. Scope check. If the request bundles multiple independent features or subsystems, say so and

brainstorm them one at a time (or in parallel sub-sessions, the user's call) — don't blend unrelated decisions into one task-spec.

1. Open a task-spec. As soon as you understand roughly what's being asked, spec_create a

task-spec at .thinkrail/context/TASK-.md (id, title, status: draft, parent: the nearest relevant module) to hold the design as it develops. .thinkrail/context/ is the workspace's gitignored scratch dir (host-seeded, zero git footprint) yet stays scannable by the spec tools — the home for every temp doc, never committed. This file is the one artifact — update it live as decisions land; don't also keep a separate scratch doc. This works even in a project with no existing spec graph: a task-spec only needs frontmatter id and type to be a valid spec, no pre-existing graph required — don't skip this step just because nothing else in the project is specced yet.

1. Clarify. Ask what you need via ask_user_question, composing rounds per the

asking-user-questions concept skill — read it before the first round. Resolve a full round, update the task-spec with what you learned, and only open a new round if the answers raised a genuinely new question. Per that concept's degradation norms, skipped questions or a host with no UI are not blockers: record your best-guess assumptions in the task-spec, explicitly marked unconfirmed, and continue.

1. Propose approaches. Once the ask is clear, write 2-3 approaches into the task-spec with

trade-offs and a recommendation. When approaches are easiest to compare side by side, ask via a single-select ask_user_question with each approach as an option (label = approach name, description = its trade-off) instead of prose alone.

1. Present the design. Write it into the task-spec in sections scaled to their complexity; confirm

with the user as each section lands, not only at the end.

1. Self-review. Before asking for final sign-off, reread the task-spec for: placeholders/TBDs,

sections that contradict each other, scope that's actually multiple task-specs, and ambiguous requirements — fix what you find, don't just flag it.

1. Promote. When the design settles a boundary, contract, or decision that belongs in a durable

spec, fold it into the relevant module's SPEC.md now — spec_create for a new module, spec_update for its frontmatter (draft → active as it firms up), edit for prose. Run spec_validate after structural changes.

1. Final review, then build. Ask the user to review the (now-promoted) design once more. Once

approved, implement directly against it — there is no separate plan-writing step here. Before handing off, self-review the implementation diff the way step 7 reviewed the spec: no silent lint/type suppressions (a gate error is a design signal — question the flagged state or dependency before guarding it; any genuinely-needed suppression gets explicit user sign-off first), no nontrivial derivation duplicated across files (centralize it), and when the change replaced a pattern, sweep the repo for remnants of the old one. Keep the task-spec and the durable specs honest as the code lands, and retire the task-spec once the work itself is done, not merely once the design was promoted.

What a good task-spec looks like

• Scoped to one piece of work — if it's accreting unrelated decisions, split it.
• States the request, the decision(s) made and why, the approaches considered and why they were or

weren't picked, and anything the user explicitly deferred or declined to answer.

• Gets promoted, not copied: once a decision belongs in a module's SPEC.md, move it there and

reference it from the task-spec rather than keeping two copies that can drift.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: JetBrains
• Source: JetBrains/thinkrail
• License: Apache-2.0
• Homepage: https://thinkrail.ai/

Install and usage instructions live in the source repository linked above.