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Agent Skill · 研究检索

ce-brainstorm(CE 头脑风暴)

ce-brainstorm 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ce-brainstorm 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 31,551。

总安装 2,681周安装 114GitHub Stars 15,867下载 939核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ce-brainstorm(CE 头脑风暴)
来源仓库:https://github.com/everyinc/compound-engineering-plugin
仓库路径:skills/ce-brainstorm
安装命令:
npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-brainstorm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-brainstorm

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

ce-brainstorm 承接 ideation 产出,将创意转化为具体功能定义与验收标准。适用于从候选方案中选定一个并细化其行为边界与用户价值主张。输出具备可执行性的需求文档,确保后续 planning 无需重构产品逻辑。当前年份为 2026,使用时请注意时间戳一致性,避免引用过时政策或规范。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/ce-brainstorm

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/everyinc/compound-engineering-plugin --skill c…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ce-brainstorm 怎么安装?

在终端执行 npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-brainsto…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ce-brainstorm 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ce-brainstorm 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ce-brainstorm 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ce-brainstorm 用的人多吗?

公开数据是累计安装 2,681 次,近一周安装 114 次,下载 939 次,GitHub 15,867 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ce-brainstorm 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 15,867 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ce-brainstorm

CE 头脑风暴 · 本页

2,68115,867需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

These rules apply to every brainstorm, including the universal (non-software) flow routed to references/universal-brainstorming.md.

  1. Ask one question at a time - One question per turn, even when sub-questions feel related. Stacking several questions in a single message produces diluted answers; pick the single most useful one and ask it.
  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. Default to the platform's blocking question tool - Use AskUserQuestion in Claude Code (call ToolSearch with select:AskUserQuestion first if its schema isn't loaded), request_user_input in Codex, ask_user in Gemini, ask_user in Pi (requires the pi-ask-user extension). These tools include a free-text fallback (e.g., "Other" in Claude Code), so options scaffold the answer without confining it — well-chosen options surface dimensions the user may not have separated, and pick-plus-optional-note is lower activation energy than composing prose from scratch. This default holds for opening and elicitation questions too, not only narrowing. Fall back to numbered options in chat only when no blocking tool exists in the harness or the call errors (e.g., Codex edit modes) — not because a schema load is required. Never silently skip the question.
  5. Use prose only when the question is genuinely open - Drop the blocking tool only when (a) the answer is inherently narrative ("walk me through how you got here"), (b) the question is diagnostic or introspective and presented options would leak your priors and bias the answer (e.g., "what concerns you most?" where a 4-option menu signals which axes matter), or (c) you cannot write 3-4 genuinely distinct, plausibly-correct options that cover the space without padding or strawmen. The test: if you'd be straining to fill the option slots, the question is open — use prose. Rule 1 still applies: still one question per turn.

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.

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. Skip Phases 0.2–4 below — the Core Principles and Interaction Rules above still apply unchanged, including one-question-per-turn and the default to the platform's blocking question tool.

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 2.5 in announce-mode (synthesis emitted for visibility, no blocking confirmation), then to 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.

Deep sub-mode: feature vs product. For Deep scope, also classify whether the brainstorm must establish product shape or inherit it:

  • Deep — feature (default): existing product shape anchors decisions. Primary actors, core outcome, positioning, and primary flows are already established in the product or repo. The brainstorm extends or refines within that shape.
  • Deep — product: the brainstorm must establish product shape rather than inherit it. Primary actors, core outcome, positioning against adjacent products, or primary end-to-end flows are materially unresolved. Existing code lowers the odds of product-tier but does not by itself rule it out — a half-built tool with ambiguous shape is still product-tier.

Product-tier triggers additional Phase 1.2 questions and additional sections in the requirements document. Feature-tier uses the current Deep behavior unchanged.

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. Also read STRATEGY.md if it exists — the product's target problem, approach, persona, and active tracks are direct input to what this brainstorm should deliver and should shape scope, success criteria, and which approaches are aligned vs out-of-scope. 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 ce-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, scan the user's opening for rigor gaps. Match depth to scope.

This is agent-internal analysis, not a user-facing checklist. Read the opening, note which gaps actually exist, and raise only those as questions during Phase 1.3 — folded into the normal flow of dialogue, not fired as a pre-flight gauntlet. A fuzzy opening may earn three or four probes; a concrete, well-framed one may earn zero because no scope-appropriate gaps were found.

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 — scan for these gaps:

  • Evidence gap. The opening asserts want or need, but doesn't point to anything the would-be user has already done — time spent, money paid, workarounds built — that would make the want observable. When present, ask for the most concrete thing someone has already done about this.
  • Specificity gap. The opening describes the beneficiary at a level of abstraction where the agent couldn't design without silently inventing who they are and what changes for them. When present, ask the user to name a specific person or narrow segment, and what changes for that person when this ships.
  • Counterfactual gap. The opening doesn't make visible what users do today when this problem arises, nor what changes if nothing ships. When present, ask what the current workaround is, even if it's messy — and what it costs them.
  • Attachment gap. The opening treats a particular solution shape as the thing being built, rather than the value that shape is supposed to deliver, and hasn't been examined against smaller forms that might deliver the same value. When present, ask what the smallest version that still delivers real value would look like.

Plus these synthesis questions — not gap lenses, product-judgment the agent weighs in its own reasoning:

  • 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 lenses and synthesis questions plus:

  • Is this a local patch, or does it move the broader system toward where it wants to be?

Deep — product — Deep plus:

  • Durability gap. The opening's value proposition rests on a current state of the world that may shift in predictable ways within the horizon the user cares about. When present, ask how the idea fares under the most plausible near-term shifts — and push past rising-tide answers every competitor could make.
  • What adjacent product could we accidentally build instead, and why is that the wrong one?
  • What would have to be true in the world for this to fail?

These questions force an explicit product thesis and feed the Scope Boundaries subsections ("Deferred for later" and "Outside this product's identity") and Dependencies / Assumptions in the requirements document.

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)
  • Rigor probes fire before Phase 2 and are prose, not menus. Narrowing is legitimate, but Phase 1 cannot end with un-probed rigor gaps. Each scope-appropriate gap from Phase 1.2 fires as a separate direct prose probe — one probe satisfies one gap, not multiple. Standard brainstorms scan four gap lenses (evidence, specificity, counterfactual, attachment); Deep-product adds durability (five total), but only the gaps actually present in the opening must be probed. Surface those probes progressively across the conversation — interleaving with narrowing moves is fine, as long as every scope-appropriate gap that was found in Phase 1.2 has been probed in prose before Phase 2. Rigor probes map to Interaction Rule 5(b): a 4-option menu signals which kinds of evidence count and lets the user pick rather than produce. Prose forces them to produce real observation or surface their uncertainty. Examples (one per gap): *evidence — "What's the most concrete thing someone's already done about this — paid, built a workaround, quit a tool over it?"* / *specificity — "Can you name a team you've actually watched hit this, or are you reasoning?"* / *counterfactual — "What do teams do today when this breaks — who reconciles?"* / *attachment — "Before we move to shapes or approaches — what's the smallest version that would still prove the bet right, and what's excluded?"* — attachment is the final rigor probe before Phase 2 when the attachment gap is present. Fire it regardless of whether a specific shape has emerged through narrowing; its job is to pressure-test the user's implicit framing of the product before Phase 2 inherits it / *durability — "Under the most plausible near-term shifts, how does this bet hold?"* If the answer reveals genuine uncertainty, record it as an explicit assumption in the requirements document rather than skipping the probe.
  • 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.

At product tier, alternatives should differ on *what* is built (product shape, actor set, positioning), not *how* it is built. Implementation-variant alternatives belong at feature tier.

For each approach, provide:

  • Brief description (2-3 sentences)
  • Pros and cons
  • Key risks or unknowns
  • When it's best suited

Approach granularity: mechanism / product shape, not architecture. Approach descriptions name mechanism-level distinctions ("pause as a rule property" vs "pause as an event filter" vs "pause as a separate entity") and product-relevant trade-offs (plan-tier coupling, complexity surface, migration difficulty). They do NOT name implementation specifics — column names, table names, file paths, service classes, JSON shapes, exact method names. Those are ce-plan's job. Bringing architecture forward at brainstorm time forces the user to make architectural decisions on ce-brainstorm's intentionally-shallow research, and the synthesis at Phase 2.5 then has to filter out the leak.

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: Synthesis Summary

STOP. Before composing the synthesis, read references/synthesis-summary.md. The discipline rules, prose-summary requirement, three-bucket structure, anti-pattern guidance, soft-cut behavior, self-redirect support, prose-feedback rules, and bucket-content routing into doc body sections all live there. Composing a synthesis without these rules loaded reliably produces malformed output — missing prose summary, implementation-detail leakage, the proposal-pitch anti-pattern. This is not optional supplementary reading; it is the source of truth for how the phase behaves.

Surface a synthesis to the user before Phase 3 writes the requirements doc — the user's last opportunity to correct scope before the artifact lands.

Fires for all tiers including Lightweight. Skip Phase 2.5 entirely on the Phase 0.1b non-software (universal-brainstorming) route.

Headless mode (LFG / disable-model-invocation): the synthesis is composed but not confirmed. Inferred bets route to a ## Assumptions section in the doc (so downstream review can scrutinize them as un-validated), not into Key Decisions. See references/synthesis-summary.md Headless mode for the full routing.

Announce-mode (Phase 0.2 fast path): on the "requirements already clear" fast path, Phase 2.5 fires in announce-mode — emit the synthesis (Stated / Inferred / Out) for visibility, then end the turn. Do NOT call the Write tool in the same turn as the synthesis emission. On the user's next message: if it's an acknowledgment, follow-up, or any non-correcting input, proceed to Phase 3 doc-write; if it indicates a correction (push-back on an Inferred bullet, scope adjustment), revise the synthesis and emit again. Lighter than full Phase 2.5 (no AskUserQuestion menu, no formal confirm option) but still gives the user a real interruption window before the doc lands. ce-brainstorm sits early in the workflow; a wrong-doc has downstream consequence (feeds ce-plan, then implementation), so the turn boundary is justified even on the fast path.

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 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.

平台分布

Codex

34.36%
按下载量换算323

Claude

32.2%
按下载量换算302

Cursor

16.76%
按下载量换算157

Gemini CLI

8.75%
按下载量换算82

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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