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Agent Skill · 研究检索

spec-brainstorm(规范头脑风暴)

spec-brainstorm 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

spec-brainstorm 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,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 29,103。

总安装 3,109周安装 127GitHub Stars 公开资料未说明下载 1,006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
MIT-0
版本
1.0.0

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:spec-brainstorm(规范头脑风暴)
来源仓库:https://github.com/anderskev/spec-brainstorm
安装命令:
openclaw skills install spec-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install spec-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。

将创意想法转化为结构化项目规范文档。spec-brainstorm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适用于新项目规划或重大功能设计前的需求梳理阶段。通过协作对话引导产出完整规格说明,减少后续返工。安装后可直接在OpenClaw中调用,无需额外配置。注意输出结果需人工复核以确保业务一致性。

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 OpenClaw;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 openclaw skills install spec-brainstorm;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

    它需要执行命令,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

spec-brainstorm 怎么安装?

在终端执行 openclaw skills install spec-brainstorm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

spec-brainstorm 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

spec-brainstorm 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install spec-brainstorm 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

spec-brainstorm 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

spec-brainstorm 用的人多吗?

公开数据是累计安装 3,109 次,近一周安装 127 次,下载 1,006 次。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。

spec-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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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
spec-brainstorm

规范头脑风暴 · 本页

3,109—执行命令MIT-0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

name
spec-brainstorm
description
Turn ideas into comprehensive project specs through collaborative dialogue. Use BEFORE any planning or implementation — for new projects, features, or significant changes. Produces a system-agnostic spec document that can feed into any agentic workflow.

Brainstorm: Ideas Into Specs

Turn a fuzzy idea into a comprehensive, implementation-free project spec through collaborative dialogue.

The output is a standalone spec document — structured enough for any agentic system to consume, clear enough for a human to act on. It captures WHAT and WHY, never HOW.

<hard_gate> Do NOT write any code, create implementation plans, scaffold projects, or take any implementation action. This skill produces a SPEC DOCUMENT only. Every project goes through this process regardless of perceived simplicity — "simple" projects are where unexamined assumptions waste the most work. </hard_gate>

Workflow

Complete these steps in order:

  1. Explore context — read project files, docs, git history, existing specs
  2. Assess scope — is this one spec or does it need decomposition?
  3. Ask clarifying questions — one at a time, follow the thread
  4. Propose 2-3 directions — high-level product approaches with tradeoffs
  5. Draft spec — write the structured spec document
  6. Self-review — check for completeness, contradictions, implementation leakage (see references/spec-reviewer.md)
  7. User review — present for approval, iterate if needed
  8. Write to disk — save to docs/specs/YYYY-MM-DD-<topic>.md
Explore context → Assess scope ──→ Too large? → Decompose into sub-projects
                                                  → Brainstorm first sub-project
                                 → Right size? → Clarifying questions
                                                  → Propose directions
                                                  → Draft spec
                                                  → Self-review (fix inline)
                                                  → User review ──→ Changes? → Revise
                                                                  → Approved? → Write to disk

The terminal state is a written spec. This skill does not transition to implementation, planning, or any other skill. The user decides what to do with the spec.

Questioning

You are a thinking partner, not an interviewer. The user has a fuzzy idea — your job is to help them sharpen it.

How to question:

  • Start open. Let them dump their mental model. Don't interrupt with structure.
  • Follow energy. Whatever they emphasized, dig into that. What excited them? What problem sparked this?
  • Challenge vagueness. Never accept fuzzy answers. "Good" means what? "Users" means who? "Simple" means how?
  • Make the abstract concrete. "Walk me through using this." "What does that actually look like?"
  • Clarify ambiguity. "When you say Z, do you mean A or B?"
  • Know when to stop. When you understand what, why, who, and what done looks like — offer to proceed.

Question mechanics:

  • One question per message. If a topic needs more, break it into multiple messages.
  • Prefer multiple choice when possible — easier to react to concrete options than open-ended prompts.
  • When the user selects "other" or wants to explain freely, switch to plain text. Don't force them back into structured choices.
  • 2-4 options is ideal. Never use generic categories ("Technical", "Business", "Other").

What to ask about:

Ask aboutExamples
Motivation"What prompted this?" "What are you doing today that this replaces?"
Concreteness"Walk me through using this" "Give me an example"
Clarification"When you say X, do you mean A or B?"
Success"How will you know this is working?" "What does done look like?"
Boundaries"What is this explicitly NOT?"

What NOT to ask about:

  • Technical implementation details (that's for planning)
  • Architecture patterns (that's for planning)
  • User's technical skill level (irrelevant — the system builds)
  • Success metrics (inferred from the work)
  • Canned questions regardless of context ("What's your core value?", "Who are your stakeholders?")

Background checklist (check mentally, not out loud):

  • [ ] What they're building (concrete enough to explain to a stranger)
  • [ ] Why it needs to exist (the problem or desire driving it)
  • [ ] Who it's for (even if just themselves)
  • [ ] What "done" looks like (observable outcomes)

When all four are clear, offer to proceed. If the user wants to keep exploring, keep going.

Scope Assessment

Before diving into questions, assess whether the idea is one project or several.

Signs it needs decomposition:

  • Multiple independent subsystems ("build a platform with chat, file storage, billing, and analytics")
  • No clear ordering dependency between parts
  • Would take multiple months of work

When decomposition is needed:

  1. Help the user identify the independent pieces and their relationships
  2. Establish what order they should be built
  3. Brainstorm the first sub-project through the normal flow
  4. Each sub-project gets its own spec

For right-sized projects, proceed directly to clarifying questions.

Exploring Directions

After understanding the idea, propose 2-3 high-level directions. These are product directions, not technical architectures.

Good directions:

  • "A CLI tool that operates on single files vs. a daemon that watches directories"
  • "A focused MVP with just the core loop vs. a broader first version with supporting features"
  • "Optimized for speed of use (power users) vs. optimized for discoverability (new users)"

Bad directions (implementation leaking in):

  • "React with a REST API vs. HTMX with server-side rendering"
  • "PostgreSQL vs. SQLite for storage"
  • "Monorepo vs. polyrepo"

Lead with your recommendation and explain why. Present tradeoffs conversationally.

Scope Discipline

Brainstorming naturally generates ideas beyond the current scope. Handle this gracefully:

When the user expands scope mid-brainstorm:

"That's a great idea but it's its own project/phase. I'll capture it in Future Considerations so it's not lost. For now, let's focus on [current scope]."

The heuristic: Does this clarify what we're building, or does it add a new capability that could stand on its own?

Capture deferred ideas in the spec's "Future Considerations" section. Don't lose them, don't act on them.

Implementation Leakage

The spec must never prescribe implementation. This is the hardest discipline.

Allowed (WHAT)Not allowed (HOW)
"Users can filter results by date and category""Add a /api/filter endpoint that accepts query params"
"Must support 10k concurrent users""Use Redis for session caching"
"Data must persist across sessions""Store in PostgreSQL with a users table"
"Must work offline""Use a service worker with IndexedDB"
"Search must feel instant""Use Elasticsearch with debounced queries"

Exception — constraints: When the user has genuine constraints ("must use PostgreSQL because that's what our infra runs"), those go in the Constraints section with rationale. A constraint is a boundary condition, not a design choice made during brainstorming.

Spec Format

Use the template in references/spec-template.md. The spec has these sections:

  1. Core Value — ONE sentence, the most important thing
  2. Problem Statement — what problem, who has it, why now
  3. Requirements — must have, should have, out of scope (with reasons)
  4. Constraints — hard limits with rationale
  5. Key Decisions — decisions made during brainstorming with alternatives considered
  6. Reference Points — "I want it like X" moments, external docs, inspiration
  7. Open Questions — unresolved items needing future research
  8. Future Considerations — ideas that emerged but belong in later phases

Requirements must be concrete and testable:

Good requirementBad requirement
"User can undo the last 10 actions""Good undo support"
"Page loads in under 2 seconds on 3G""Fast performance"
"Works with screen readers""Accessible"
"Export to CSV and JSON""Multiple export formats"

Self-Review

After drafting the spec, review it for:

  1. Placeholders — any TBD, TODO, vague requirements? Fix them.
  2. Contradictions — do any sections conflict? Resolve them.
  3. Implementation leakage — does any requirement prescribe HOW? Rewrite as WHAT.
  4. Untestable requirements — could someone verify this was met? Make it concrete.
  5. Missing rationale — do constraints and out-of-scope items explain WHY? Add reasons.
  6. Scope — is this focused enough for a single planning cycle?

Fix issues inline. Then present to the user for review.

See references/spec-reviewer.md for the detailed review checklist.

Writing the Spec

  • Save to docs/specs/YYYY-MM-DD-<topic>.md (user preferences override this path)
  • Commit to git with message: docs: add <topic> project spec
  • After writing, tell the user:

> "Spec written to <path>. Review it and let me know if you want changes."

  • Wait for approval before considering the brainstorm complete.

Key Principles

  • One question at a time — don't overwhelm
  • Follow the thread — don't walk a checklist
  • YAGNI ruthlessly — remove anything that isn't clearly needed
  • Concrete decisions only — "card-based layout" not "modern and clean"
  • No implementation — WHAT and WHY, never HOW
  • Capture everything — ideas outside scope go to Future Considerations, never lost
  • Incremental validation — confirm understanding before moving on
  • The spec stands alone — anyone should be able to read it and understand the project

平台分布

OpenClaw

91.53%
按下载量换算921

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install spec-brainstorm 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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