ce-brainstorm

name	ce:brainstorm
description	1: [P/P+][C][G][R] 探索需求，生成需求文档
argument-hint	[功能描述] [P=3视角快速验证] [P+=全量12-14视角发散] [C=Codex] [G=Gemini] [R=历史检索]

Brainstorm a Feature or Improvement

Note: The current year is 2026. Use this when dating requirements documents.

Brainstorming helps answer WHAT to build through collaborative dialogue. It precedes /ce:plan, which answers HOW to build it.

The durable output of this workflow is a requirements document. In other workflows this might be called a lightweight PRD or feature brief. In compound engineering, keep the workflow name brainstorm, but make the written artifact strong enough that planning does not need to invent product behavior, scope boundaries, or success criteria.

This skill does not implement code. It explores, clarifies, and documents decisions for later planning or execution.

IMPORTANT: All file references in generated documents must use repo-relative paths (e.g., src/models/user.rb), never absolute paths. Absolute paths break portability across machines, worktrees, and teammates.

Core Principles

1. Assess scope first - Match the amount of ceremony to the size and ambiguity of the work.
2. Be a thinking partner - Suggest alternatives, challenge assumptions, and explore what-ifs instead of only extracting requirements.
3. Resolve product decisions here - User-facing behavior, scope boundaries, and success criteria belong in this workflow. Detailed implementation belongs in planning.
4. Keep implementation out of the requirements doc by default - Do not include libraries, schemas, endpoints, file layouts, or code-level design unless the brainstorm itself is inherently about a technical or architectural change.
5. Right-size the artifact - Simple work gets a compact requirements document or brief alignment. Larger work gets a fuller document. Do not add ceremony that does not help planning.
6. Apply YAGNI to carrying cost, not coding effort - Prefer the simplest approach that delivers meaningful value. Avoid speculative complexity and hypothetical future-proofing, but low-cost polish or delight is worth including when its ongoing cost is small and easy to maintain.

Interaction Rules

1. Ask one question at a time - Do not batch several unrelated questions into one message.
2. Prefer single-select multiple choice - Use single-select when choosing one direction, one priority, or one next step.
3. Use multi-select rarely and intentionally - Use it only for compatible sets such as goals, constraints, non-goals, or success criteria that can all coexist. If prioritization matters, follow up by asking which selected item is primary.
4. Use the platform's question tool when available - When asking the user a question, prefer the platform's blocking question tool if one exists (AskUserQuestion in Claude Code, request_user_input in Codex, ask_user in Gemini). Otherwise, present numbered options in chat and wait for the user's reply before proceeding.

Output Guidance

• Keep outputs concise - Prefer short sections, brief bullets, and only enough detail to support the next decision.
• Use repo-relative paths - When referencing files, use paths relative to the repo root (e.g., src/models/user.rb), never absolute paths. Absolute paths make documents non-portable across machines and teammates.

Feature Description

<feature_description> #$ARGUMENTS </feature_description>

If the feature description above is empty, ask the user: "What would you like to explore? Please describe the feature, problem, or improvement you're thinking about."

Do not proceed until you have a feature description from the user.

Parameter Handling

Parse $ARGUMENTS for the following optional tokens before entering the Execution Flow. Strip each recognized token from the arguments before using the remainder as the feature description.

Token	Effect
[P]	PARTY_MODE_ENABLED = true; PARTY_MODE_LEVEL = core. 显式调用 party-mode，使用 3 个核心视角（用户代言人 + 技术专家 + 魔鬼代言人）碰撞讨论，结束后自动收敛。
[P+]	PARTY_MODE_ENABLED = true; PARTY_MODE_LEVEL = full. 显式调用 party-mode，使用 12-14 个视角全量发散讨论，结束后自动收敛。
[C]	CODEX_ENABLED = true. Phase 2 结束后自动调用 Codex CLI 咨询，结果整合到 brainstorm 文档。
[G]	GEMINI_ENABLED = true. Phase 2 结束后自动调用 Gemini CLI 咨询，结果整合到 brainstorm 文档。
[R]	Run learnings-researcher before Phase 1. Inject results as historical reference in Phase 2.

Execution contract: [P] and [P+] are hard workflow switches, not descriptive hints. When either token is present, strip it from the feature description, set the flags above, and invoke party-mode before normal Phase 1 dialogue. Describing Party Mode is insufficient; the workflow must explicitly execute it.

---

Execution Flow

Phase 0: Resume, Assess, and Route

0.1 Resume Existing Work When Appropriate

If the user references an existing brainstorm topic or document, or there is an obvious recent matching *-requirements.md file in docs/brainstorms/:

• Read the document
• Confirm with the user before resuming: "Found an existing requirements doc for [topic]. Should I continue from this, or start fresh?"
• If resuming, summarize the current state briefly, continue from its existing decisions and outstanding questions, and update the existing document instead of creating a duplicate

0.1b Classify Task Domain

Before proceeding to Phase 0.2, classify whether this is a software task. The key question is: does the task involve building, modifying, or architecting software? -- not whether the task mentions software topics.

Software (continue to Phase 0.2) -- the task references code, repositories, APIs, databases, or asks to build/modify/debug/deploy software.

Non-software brainstorming (route to universal brainstorming) -- BOTH conditions must be true:

• None of the software signals above are present
• The task describes something the user wants to explore, decide, or think through in a non-software domain

Neither (respond directly, skip all brainstorming phases) -- the input is a quick-help request, error message, factual question, or single-step task that doesn't need a brainstorm.

If non-software brainstorming is detected: Read references/universal-brainstorming.md and use those facilitation principles to brainstorm with the user naturally. Do not follow the software brainstorming phases below.

0.2 Assess Whether Brainstorming Is Needed

Clear requirements indicators:

• Specific acceptance criteria provided
• Referenced existing patterns to follow
• Described exact expected behavior
• Constrained, well-defined scope

If requirements are already clear: Keep the interaction brief. Confirm understanding and present concise next-step options rather than forcing a long brainstorm. Only write a short requirements document when a durable handoff to planning or later review would be valuable. Skip Phase 1.1 and 1.2 entirely — go straight to Phase 1.3 or Phase 3.

0.3 Assess Scope

Use the feature description plus a light repo scan to classify the work:

• Lightweight - small, well-bounded, low ambiguity
• Standard - normal feature or bounded refactor with some decisions to make
• Deep - cross-cutting, strategic, or highly ambiguous

If the scope is unclear, ask one targeted question to disambiguate and then proceed.

0.4 [R] 历史检索（仅当 [R] 标志存在时）

触发条件: $ARGUMENTS 包含 [R]。

跳过条件（不触发 learnings-researcher）：

• Phase 0.1b 判断为 non-software brainstorming → 跳过（历史方案为软件解决方案，检索无意义）
• Phase 0.2 判断为 clear requirements → 直接路由至 Phase 1.3 或 Phase 3 → 跳过

跳过时宣告：「⚠️ [R] 跳过：当前属于非软件探索/已有清晰需求场景，learnings-researcher 检索跳过」

从 feature description 提取关键词，运行 compound-engineering:research:learnings-researcher 检索 docs/solutions/ 历史方案：

Task compound-engineering:research:learnings-researcher(feature_description)

去重规则（当前 skill 内有效，跨 skill 不生效）： 同一 session 内相同关键词（lowercase + trim + token sort）不重复搜索，维护 [session_searched_topics] 集合。 子代理派发时各子代理 in-memory 状态独立，跨子代理去重不生效（同一搜索词可能被多个子代理重复触发）。 跨 skill 去重不生效（如本 session 已在 ce:work [R] 中检索过相同关键词，ce:brainstorm [R] 仍会重新检索）。

结果处置：

• 检索结果作为 Phase 2 方案对比的「历史参考」上下文
• 在 Phase 2 展示方案时，增加「📚 历史参考」子节，列出相关 solution 文档及其核心洞察
• 若无相关历史记录 → 在「历史参考」节注明：No relevant learnings found — 本次为全新探索

0.5 [P]/[P+] Party Mode Activation and Structured Convergence（仅当 [P] 或 [P+] 标志存在时）

触发时机：Phase 0.4 之后、Phase 1 之前。不使用 [P]/[P+] 时跳过，直接进入 Phase 1。

Step 0.5.1: 显式启动 Party Mode

If PARTY_MODE_ENABLED = true, invoke the party-mode skill before continuing. This is a hard execution requirement:

Execute: Skill("party-mode")

When invoking party-mode, pass the feature description and level guidance:

• [P] / PARTY_MODE_LEVEL = core: use 3 core perspectives — user advocate, technical expert, devil's advocate. Keep the cast compact, but preserve emoji + persona names and natural cross-challenge.
• [P+] / PARTY_MODE_LEVEL = full: use 12-14 perspectives for high-ambiguity or high-risk decisions. Invite a broader cast across architecture, security, performance, QA, product, UX, minimalism, reverse thinking, infrastructure, and risk.

Party Mode must produce dialog, not a parallel bullet list: at least one persona must explicitly agree, disagree, question, or build on a previous persona's point. Party Mode must also surface reuse opportunities and glue-code boundaries when the topic involves software.

Step 0.5.2: Party Mode Result Contract

Before returning control to ce-brainstorm, carry forward the Party Mode exit summary as working context:

• Consensus
• Disagreements
• Risks
• Reuse opportunities
• Build boundary（reuse / glue code / net-new）
• Candidate priorities（P1 / P2 / P3 / P4）

Step 0.5.3: Post-Party Structured Convergence

After Party Mode ends, run a short two-role convergence pass before Phase 1.

视角数量由标志决定：

• [P]：3 个核心视角（用户代言人 + 技术专家 + 魔鬼代言人）先完成 Party Mode，再进入探索者/挑战者收敛。
• [P+]：12-14 个视角先完成 Party Mode，再进入探索者/挑战者收敛。

执行方式：以 2 个对立视角顺序输出（同一 agent 切换视角），不创建独立 teammate：

• 探索者视角：从 Party Mode 讨论中提炼出最有希望的方向，聚焦「这个方向在技术上可行吗？」，给出具体验证路径
• 挑战者视角：质疑探索者的假设，寻找边界条件、反例和未被发现的风险，防止 Party Mode 多视角共鸣带来过早收敛

退出条件（满足任一即结束，继续 Phase 1）：

• 双方达成「方向共识」：可行性已确认 + 主要风险已识别
• 用户输入 [E]
• 未达共识（3 轮后）→ 用 AskUserQuestion 展示核心分歧，让用户裁决方向（「1 轮」= 探索者 + 挑战者各回应一次）

输出格式：

[探索者] <2-4 句：当前最有希望方向 + 验证路径>

[挑战者] <2-4 句：假设质疑 + 关键风险>

Phase 1: Understand the Idea

1.1 Existing Context Scan

Scan the repo before substantive brainstorming. Match depth to scope:

Lightweight — Search for the topic, check if something similar already exists, and move on.

Standard and Deep — Two passes:

Constraint Check — Check project instruction files (AGENTS.md, and CLAUDE.md only if retained as compatibility context) for workflow, product, or scope constraints that affect the brainstorm. If these add nothing, move on.

Topic Scan — Search for relevant terms. Read the most relevant existing artifact if one exists (brainstorm, plan, spec, skill, feature doc). Skim adjacent examples covering similar behavior.

If nothing obvious appears after a short scan, say so and continue. Two rules govern technical depth during the scan:

1. Verify before claiming — When the brainstorm touches checkable infrastructure (database tables, routes, config files, dependencies, model definitions), read the relevant source files to confirm what actually exists. Any claim that something is absent — a missing table, an endpoint that doesn't exist, a dependency not in the Gemfile, a config option with no current support — must be verified against the codebase first; if not verified, label it as an unverified assumption. This applies to every brainstorm regardless of topic.

2. Defer design decisions to planning — Implementation details like schemas, migration strategies, endpoint structure, or deployment topology belong in planning, not here — unless the brainstorm is itself about a technical or architectural decision, in which case those details are the subject of the brainstorm and should be explored.

Slack context (opt-in, Standard and Deep only) — never auto-dispatch. Route by condition:

• Tools available + user asked: Dispatch compound-engineering:research:slack-researcher with a brief summary of the brainstorm topic alongside Phase 1.1 work. Incorporate findings into constraint and context awareness.
• Tools available + user didn't ask: Note in output: "Slack tools detected. Ask me to search Slack for organizational context at any point, or include it in your next prompt."
• No tools + user asked: Note in output: "Slack context was requested but no Slack tools are available. Install and authenticate the Slack plugin to enable organizational context search."

1.2 Product Pressure Test

Before generating approaches, challenge the request to catch misframing. Match depth to scope:

Lightweight:

• Is this solving the real user problem?
• Are we duplicating something that already covers this?
• Is there a clearly better framing with near-zero extra cost?

Standard:

• Is this the right problem, or a proxy for a more important one?
• What user or business outcome actually matters here?
• What happens if we do nothing?
• Is there a nearby framing that creates more user value without more carrying cost? If so, what complexity does it add?
• Given the current project state, user goal, and constraints, what is the single highest-leverage move right now: the request as framed, a reframing, one adjacent addition, a simplification, or doing nothing?
• Favor moves that compound value, reduce future carrying cost, or make the product meaningfully more useful or compelling
• Use the result to sharpen the conversation, not to bulldoze the user's intent

Deep — Standard questions plus:

• What durable capability should this create in 6-12 months?
• Does this move the product toward that, or is it only a local patch?

1.3 Collaborative Dialogue

Follow the Interaction Rules above. Use the platform's blocking question tool when available.

Guidelines:

• Ask what the user is already thinking before offering your own ideas. This surfaces hidden context and prevents fixation on AI-generated framings.
• Start broad (problem, users, value) then narrow (constraints, exclusions, edge cases)
• Clarify the problem frame, validate assumptions, and ask about success criteria
• Make requirements concrete enough that planning will not need to invent behavior
• Surface dependencies or prerequisites only when they materially affect scope
• Resolve product decisions here; leave technical implementation choices for planning
• Bring ideas, alternatives, and challenges instead of only interviewing

Exit condition: Continue until the idea is clear OR the user explicitly wants to proceed.

Phase 2: Explore Approaches

If multiple plausible directions remain, propose 2-3 concrete approaches based on research and conversation. Otherwise state the recommended direction directly.

Use at least one non-obvious angle — inversion (what if we did the opposite?), constraint removal (what if X weren't a limitation?), or analogy from how another domain solves this. The first approaches that come to mind are usually variations on the same axis.

Present approaches first, then evaluate. Let the user see all options before hearing which one is recommended — leading with a recommendation before the user has seen alternatives anchors the conversation prematurely.

When useful, include one deliberately higher-upside alternative:

• Identify what adjacent addition or reframing would most increase usefulness, compounding value, or durability without disproportionate carrying cost. Present it as a challenger option alongside the baseline, not as the default. Omit it when the work is already obviously over-scoped or the baseline request is clearly the right move.

For each approach, provide:

• Brief description (2-3 sentences)
• Pros and cons
• Reuse opportunities: existing tools, libraries, CLIs, APIs, services, or established project patterns that can carry the work
• Glue boundary: what the project only needs to orchestrate, configure, adapt, or connect
• Net-new code: what truly must be custom, and why existing capabilities are insufficient
• Key risks or unknowns
• When it's best suited

After presenting all approaches, state your recommendation and explain why. Prefer simpler solutions when added complexity creates real carrying cost, but do not reject low-cost, high-value polish just because it is not strictly necessary.

If one approach is clearly best and alternatives are not meaningful, skip the menu and state the recommendation directly.

If relevant, call out whether the choice is:

• Reuse an existing pattern
• Extend an existing capability
• Build something net new

Phase 2.5: 外部 AI 咨询（[C][G] 参数触发）

检查 Parameter Handling 阶段解析的 CODEX_ENABLED 和 GEMINI_ENABLED 标志。

如果两者都为 false，跳过此步骤，直接进入 Phase 3。

---

当 CODEX_ENABLED = true 时：

Step 2.5.1: 检查 Codex CLI 可用性

command -v codex || echo "Codex CLI 未安装，请运行: npm install -g @openai/codex"

如果未安装，提示用户安装并跳过 Codex 咨询（主流程不中断）。

Step 2.5.2: 构建方案咨询 Prompt 并调用

构建结构化 prompt（从当前对话上下文中提取）：

## 项目背景
[技术栈、框架]

## 本轮头脑风暴的需求
[feature_description]

## Claude 提出的方案
[Phase 2 中提出的 2-3 个方案，包含各方案的描述、优缺点]

## 用户倾向的方向（如有）
[用户在 Phase 2 中选择的偏好]

## 请特别评估
1. 这些方案中是否有最优解？如果都不是，更好的方案是什么？
2. 有没有我们忽略的替代方案或开源库/框架？
3. 性价比方面：是否存在更简洁、更高效的实现路径？
4. 有没有潜在的坑或长期维护风险？

执行流程：

Step 1: 前台调用 Codex（不用 run_in_background）
  - 使用 Bash 工具，设置 timeout=300000（5 分钟）
  - 调用:
    CODEX_OUTPUT="${TEMP:-/tmp}/codex-brainstorm-$(date +%s).md"
    cat <<'PROMPT_EOF' | codex exec --output-last-message "$CODEX_OUTPUT" -
    <构建好的prompt>
    PROMPT_EOF
    echo "---CODEX_EXIT: $?---"
    cat "$CODEX_OUTPUT" 2>/dev/null

Step 2: 检查结果
  - 如果退出码非 0 或输出为空：
    → 记录失败，继续主流程（不中断）
    → 在 brainstorm 文档中注明 Codex 咨询失败
  - 如果成功：
    → 整合到后续 brainstorm 文档中

注意：使用前台调用而非后台，因为后台模式在 Windows 上的 heredoc + stdin 管道更易出问题。
不指定 -m 参数，使用 Codex 默认模型（见项目 CLAUDE.md Codex 模型策略）。

如果调用失败：

• 未安装 → 提示：npm install -g @openai/codex
• 网络/认证问题 → 运行 codex login 重新认证
• 运行 /ce:doctor 进行完整健康检查

---

当 GEMINI_ENABLED = true 时：

Step 2.5.4: 检查 Gemini CLI 可用性

command -v gemini || echo "Gemini CLI 未安装，请运行: npm install -g @google/gemini-cli"

如果未安装，提示用户安装并跳过 Gemini 咨询（主流程不中断）。

Step 2.5.5: 构建方案咨询 Prompt 并调用

使用与 Codex 相同的 prompt 结构，通过 Gemini CLI 调用：

Step 1: 后台启动 Gemini
  - 使用 Bash 工具，设置 run_in_background=true
  - 调用:
    cat <<'PROMPT_EOF' | gemini -m gemini-3-pro-preview -p '' -o json
    <构建好的prompt>
    PROMPT_EOF
  - 记录返回的 task_id

Step 2: 等待完成（最多 5 分钟）

Step 3: 读取结果，解析并整合

---

当 CODEX_ENABLED 和 GEMINI_ENABLED 都为 true 时：

在 Phase 3 的 brainstorm 文档中生成三方对比：

## 外部咨询综合

| 评估维度 | Claude | Codex | Gemini | 共识度 |
|----------|--------|-------|--------|--------|
| 推荐方案 | [X] | [Y] | [Z] | 一致/分歧 |
| 替代建议 | ... | ... | ... | ... |
| 风险提示 | ... | ... | ... | ... |

**综合建议**：
1. 多方一致的观点（可信度最高）
2. 双方一致的建议（次优先）
3. 单方独特见解（供参考）

---

超时处理

如果 Codex 或 Gemini 在 5 分钟内未完成：

## ⏱️ [Codex/Gemini] 咨询超时

咨询未在 5 分钟内完成。可手动运行：
- Codex：`/codex [你的问题]`
- Gemini：`/gemini [你的问题]`

brainstorm 主流程结果仍然有效。

---

Phase 3 文档追加（CODEX_ENABLED 或 GEMINI_ENABLED 为 true 时）

将 Phase 2.5 的外部咨询结果写入 brainstorm 文档的「外部 AI 咨询结果」小节（使用上方三方对比表格格式）。

---

Phase 3: Capture the Requirements

Write or update a requirements document only when the conversation produced durable decisions worth preserving. Read references/requirements-capture.md for the document template, formatting rules, visual aid guidance, and completeness checks.

For Lightweight brainstorms, keep the document compact. Skip document creation when the user only needs brief alignment and no durable decisions need to be preserved.

Phase 3.5: Document Review

When a requirements document was created or updated, run the document-review skill on it before presenting handoff options. Pass the document path as the argument.

If document-review returns findings that were auto-applied, note them briefly when presenting handoff options. If residual P0/P1 findings were surfaced, mention them so the user can decide whether to address them before proceeding.

When document-review returns "Review complete", proceed to Phase 4.

Phase 4: Handoff

Present next-step options and execute the user's selection. Read references/handoff.md for the option logic, dispatch instructions, and closing summary format.