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brainwritingbrainwriting 搜索

Agent Skill

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。

总安装

186

周安装

8

GitHub Stars

3

下载量

65
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。

来源信息

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