Nodeflow brainstorming

Nodeflow Brainstorming

Node Metadata

• Node ID: nodeflow-brainstorming
• 作用: 在 spec / plan / implementation 前澄清创意、产品、架构、交互或行为变化需求
• 输入: 用户原始请求、项目文档、相关代码/文件、既有决策、约束和风险线索
• 输出: 已确认的需求总结、方案比较、Decision Log、设计 spec、自审结果、用户 review 结论
• 前置条件: 请求涉及创意、新功能、架构、交互、行为变化，或需求/验收标准不清
• Gate: 设计和书面 spec 未经用户确认前，不进入 nodeflow-plan 或实现
• 默认 checkpoint: Y
• 可跳过条件: Low 风险且需求、范围、验收和验证方式都清楚
• 下游节点: nodeflow-plan
• 适用风险: Medium / High

Node Status

• Status: core
• Role: brainstorming / design gate
• Replacement: none

Core Rules

• Do not write implementation code, scaffold projects, edit behavior, or call implementation nodes while this node is active.
• Use the smallest process that still locks the design. Do not force full specs onto obvious Low-risk work.
• Explore context before asking detailed questions.
• Ask one focused question at a time when a question is needed.
• Prefer multiple-choice questions when they reduce ambiguity.
• For oversized requests, stop early and split into sub-project specs before refining details.
• Keep a running Decision Log.
• Present 2-3 approaches only when there are real alternatives.
• Lead with the recommended approach and explain tradeoffs.
• Write the final spec to docs/specs/YYYY-MM-DD-request-name.md when a durable spec is needed.
• Do not commit the spec unless the user explicitly asks.
• After spec self-review, require user review before moving to nodeflow-plan.

Process

1. Explore the current project context:
   • read relevant project docs, files, recent decisions, and existing nodeflow artifacts.
   • separate what already exists from what is proposed.
   • identify implicit constraints and unconfirmed assumptions.
2. Check scope:
   • if the request contains multiple independent systems, decompose it into sub-projects.
   • choose the first sub-project for this brainstorming cycle.
3. Clarify intent:
   • ask one question per message only when the answer affects the design.
   • clarify purpose, target users, constraints, success criteria, non-goals, and acceptance criteria.
4. Clarify non-functional requirements:
   • performance expectations.
   • scale: users, data, traffic, or project size.
   • security and privacy constraints.
   • reliability or availability needs.
   • maintenance and ownership expectations.
   • if the user is unsure, propose explicit assumptions.
5. Lock understanding:
   • provide an Understanding Summary.
   • list assumptions and open questions.
   • ask the user to confirm or correct the summary.
   • do not proceed to approach comparison until confirmed.
6. Compare approaches:
   • propose 2-3 viable approaches when applicable.
   • include complexity, extensibility, risk, maintenance, and verification tradeoffs.
   • recommend one approach.
   • 如果 state file 中 learn_mode: true，调用 nodeflow-learn（传入：当前决策点描述、推荐方案、备选方案）。
7. Present the design incrementally:
   • keep each section proportional to complexity.
   • cover architecture, components, data flow, state, edge cases, error handling, and testing where relevant.
   • pause for confirmation after meaningful sections.
8. Write the spec:
   • create docs/specs/YYYY-MM-DD-request-name.md only after the design is validated.
   • do not overwrite an existing spec silently.
9. Self-review the spec:
   • scan for placeholders.
   • fix contradictions.
   • remove ambiguity.
   • confirm scope is small enough for one plan.
10. Ask the user to review the written spec.
11. After user approval, hand off to nodeflow-plan.

Understanding Summary Gate

Before approach comparison, output:

## 需求总结

- 要做什么：
- 为什么做：
- 给谁用：
- 关键约束：
- 明确非目标：
- 验收标准：

## 假设

- 

## 未决问题

- 

请确认或修正以上内容；确认后再进入方案设计。

用户确认后，立即生成 requirement_anchor 结构（写入 state file 的 requirement_anchor 字段，或暂存供后续写入）：

### Requirement Anchor

- goal：<一句话目标>
- must_have：
  - R1: <条目>
  - R2: <条目>
- must_not：
  - N1: <条目>
- acceptance_criteria：
  - A1: <条目>
  - A2: <条目>
- output：<目标产物>

规则：

• 从"要做什么"提取 goal
• 从"必须满足"和验收标准提取 must_have，每条分配 R1/R2... ID
• 从"明确非目标"提取 must_not，每条分配 N1/N2... ID
• 从"验收标准"提取 acceptance_criteria，每条分配 A1/A2... ID
• 这些 ID 在后续 plan（task 的 requirement_refs）和 review（逐条对标）中使用

Decision Log

Maintain decisions in this shape:

## Decision Log

| Decision | Alternatives | Rationale |
| --- | --- | --- |
|  |  |  |

Record only decisions that affect scope, behavior, architecture, UX, data, validation, or tradeoffs.

Spec File

Default path:

docs/specs/YYYY-MM-DD-request-name.md

Use this structure:

# Spec: Request Name

## 背景

## 需求总结

## 目标

## 非目标

## 非功能需求

## 方案比较

## 推荐方案

## 设计

## Decision Log

## 风险

## 验收标准

## 需要用户 Review

If a spec decision becomes lasting project truth, also propose syncing it into the appropriate main doc such as docs/PRD.md, docs/ARCH.md, docs/DECISIONS.md, or docs/NODEFLOW.md.

Spec Self-Review

Before asking for user review, check:

• Placeholder scan: no TBD, TODO, empty required sections, or vague placeholders.
• Internal consistency: goals, non-goals, design, risks, and acceptance criteria do not contradict each other.
• Scope check: the spec is small enough for one nodeflow-plan; otherwise split it.
• Ambiguity check: requirements with multiple interpretations are resolved or explicitly listed for review.
• Path check: spec is under docs/specs/, not docs/superpowers/specs/.
• Git boundary check: no commit unless explicitly requested.

Fix issues inline before user review.

Handoff To Plan

After user review approval, provide:

## Brainstorming Handoff

- Spec:
- Requirement Anchor:
  - goal:
  - must_have: [R1, R2, ...]
  - must_not: [N1, N2, ...]
  - acceptance_criteria: [A1, A2, ...]
- Approved approach:
- Key decisions:
- Known risks:
- Required verification:
- Next node: `nodeflow-plan`

如果已有 state file，在 handoff 前将 requirement_anchor 写入 state file。

Stop Conditions

Stop and ask if:

• the real goal cannot be stated clearly.
• acceptance criteria cannot be defined.
• the user has not confirmed the Understanding Summary.
• the user has not approved the written spec.
• the request is too broad for one spec and must be decomposed.
• the user asks to skip this gate for High-risk, creative, architecture, or behavior-changing work.