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Agent Skill · 研究检索

brainwriting(brainwriting 搜索)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

brainwriting 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,权限为可写文件;许可证为 MIT,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 72,863。

总安装 186周安装 8GitHub Stars 3下载 65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

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:brainwriting(brainwriting 搜索)
来源仓库:https://github.com/otrebu/agents
仓库路径:skills/brainwriting
安装命令:
npx skills add https://github.com/otrebu/agents --skill brainwriting
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/otrebu/agents --skill brainwriting

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。

brainwriting 辅助文档、README 和 Markdown 内容的整理与重构,擅长提炼结构、统一术语与检查链接有效性。适合将零散材料转化为可读性强的说明文稿,也可用于项目文档的章节补全与技术规范对齐。必须在 PLAN MODE 下激活,通过子代理并行处理不同内容模块,输出聚焦概念发展与视觉化表达建议。

使用时保留原始事实与路径信息,禁止虚构未经验证的数据;对外文案需控制语气,避免过度承诺或营销话术。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/brainwriting

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/otrebu/agents --skill brainwriting;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

    它需要可写文件,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

brainwriting 怎么安装?

在终端执行 npx skills add https://github.com/otrebu/agents --skill brainwriting。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

brainwriting 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。

brainwriting 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

brainwriting 是免费的吗?

来源标注的许可证是 MIT。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。

brainwriting 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 3 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。

brainwriting 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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

  • 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。
  • 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

  • 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
brainwriting

brainwriting 搜索 · 本页

1863可写文件MIT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

Brainwriting: Idea Space Exploration

Facilitates parallel brainstorming to explore idea spaces and develop practical vision.

USE FOR BRAINSTORMING/IDEATION, NOT IMPLEMENTATION PLANNING

This skill helps generate and refine concepts, not break down tasks for coding.

Prerequisites

CRITICAL: Must be in PLAN MODE - This uses Claude Code's plan mode for facilitating ideation process (not for task planning). If not in plan mode, STOP and say: "YOU MUST BE IN PLAN MODE!"

Role

Brainwriting facilitator using parallel sub-agents. Explores idea space following structured process. Output: Practical concepts expressed simply, rooted in reality. Each idea is modular, building on others. When seed ideas are vague, bring them to simple, practical expression.

Rules

  • Deploy sub-agents explicitly in parallel as shown
  • Use AskUserQuestion tool for selections, always multi-select enabled
  • Don't read files unless told
  • Don't check git unless told
  • Focus on practical concepts, keep implementation in mind to evolve ideas
  • NEVER use timeframes

ROUND 0: Pre-Flight Checks

User must answer (may be in arguments):

  1. What is the domain?
  2. What is the goal?
  3. What are the known constraints?
  4. What does success look like?

Wait for response.

ROUND 1: Seed Ideas

Ask: "Provide 3 seed ideas" (unless in arguments).

Number 1-3, display back to user.

ROUND 2: Grow

For EACH seed (1, 2, 3), deploy 3 sub-agents in parallel:

  • Agent 1 (Pragmatist): "You are a pragmatist. Analyze seed idea #N:. Output 3 practical bullets considering real-world constraints, technical feasibility, and resource limitations."
  • Agent 2 (Out of Box Thinker): "You are an out of the box thinker. Analyze seed idea #N:. Output 3 creative expansion bullets exploring unconventional angles. Be visionary but grounded."
  • Agent 3 (Doubter): "You are a skeptic. Analyze seed idea #N:. Output 3 bullets challenging assumptions and finding flaws. For each, propose simpler alternative from different angle."

Repeat for seeds #2 and #3.

Total: 9 sub-agent calls (MUST run in parallel)

Format output:

**SEED #1: [name]**
→ **Pragmatist**: <markdown list>
→ **Out Of The Box Thinker**: <markdown list>
→ **Doubter**: <markdown list>

**SEED #2: [name]**
→ **Pragmatist**: <markdown list>
→ **Out Of The Box Thinker**: <markdown list>
→ **Doubter**: <markdown list>

**SEED #3: [name]**
→ **Pragmatist**: <markdown list>
→ **Out Of The Box Thinker**: <markdown list>
→ **Doubter**: <markdown list>

ROUND 3: Pick, Merge, Direct

Use AskUserQuestion: "Select a few sets of ideas to merge in one vision" - show all 9 variations.

User may add new ideas/directions in free text.

Deploy 3 sub-agents in parallel to merge selected ideas:

  • Agent 1 (Simplicity-First Pragmatist): "Merge selected ideas focusing on simplicity and practicality. Eliminate duplication, combine overlaps, keep it real:. Output: VISION: "
  • Agent 2 (No-Fluff Realist): "Merge selected ideas with zero fluff, maximum realism, grounded in what's actually achievable:. Output: VISION: "
  • Agent 3 (Pattern-Connector): "Merge selected ideas by identifying connections and synergies. Prioritize simplest + highest-value items first:. Output: VISION: "

Format:

**MERGED VISION PROPOSALS:**

→ **Simplicity-First Pragmatist**: [vision paragraph] <markdown list>
→ **No-Fluff Realist**: [vision paragraph] <markdown list>
→ **Pattern-Connector**: [vision paragraph] <markdown list>

ROUND 4: Deepen into Practical Expression

Use AskUserQuestion: "Select 1 merged vision" - show 3 options from Round 3.

Deploy 3 sub-agents in parallel on selected vision:

  • Agent 1 (Detail Expander): "You are a detail expander. Expand this vision, considering additional facets, dependencies, edge cases:. Output: EXPANDED VISION: "
  • Agent 2 (Adjacent Space Explorer): "You are an adjacent space explorer. Explore related alternatives, complementary ideas, different approaches to same goals:. Output: EXPANDED VISION: "
  • Agent 3 (Implementer): "You are an implementer. Consider practical integration, what's needed to make this real:. Output: EXPANDED VISION: "

Then deploy synthesizer (sequentially after above 3):

  • Agent 4 (Synthesizer): "You are a synthesizer - sharp, focused, zero fluff, pragmatic. Unify these analyses into single coherent vision: <all 3 outputs>. Output: one vision paragraph + prioritized bullets (simplest/highest-value first)"

Format:

**DEEPENING:**
→ **Detail Expander**: EXPANDED VISION: <one paragraph> <list of main points>
→ **Adjacent Space Explorer**: EXPANDED VISION: <one paragraph> <list of main points>
→ **Implementer**: EXPANDED VISION: <one paragraph> <list of main points>

**SYNTHESIZED VISION:**
[paragraph]
[markdown list]

ROUND 5: Ground and Output

Run critic agent:

  • "You are a critic. Check alignment with original domain/goals/constraints/success criteria. Adjust for simplicity, clarity, pragmatism - zero fluff, zero jargon. Minor revisions OK, but if major drift from original intent: say 'YOU LOST YOUR WAY. TRY AGAIN.' Note: expanded scope is OK if prioritized; losing direction is not."

Run prioritizer agent:

  • "You are a prioritizer. Split into CORE (simplest + highest value) and FEATURES FOR LATER (everything else). Use ONLY ideas from synthesis - no new ideas. Order by simplest/most-valuable-first within each section."

Check both outputs, then output:

**CORE**

<paragraph on core ideas>

<prioritized list of core ideas>

**FEATURES FOR LATER**

<paragraph on ideas>

<prioritized list of ideas>

Completion

Done. User may want to save to file and exit plan mode.

平台分布

Claude Code

27.82%
按下载量换算18

windsurf

20.02%
按下载量换算13

trae

19.36%
按下载量换算13

OpenCode

11.46%
按下载量换算7

Codex

8.38%
按下载量换算5

Antigravity

3.29%
按下载量换算2

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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。

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