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Agent Skill · 研究检索

kata-brainstorm(卡塔头脑风暴)

kata-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。

kata-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,权限为接触敏感数据;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 58,406。

总安装 416周安装 17GitHub Stars 1下载 135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:kata-brainstorm(卡塔头脑风暴)
来源仓库:https://github.com/gannonh/kata-skills
仓库路径:skills/kata-brainstorm
安装命令:
npx skills add https://github.com/gannonh/kata-skills --skill kata-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/gannonh/kata-skills --skill kata-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。

kata-brainstorm 用于查找、检索和筛选相关信息。适合在关键词、任务场景或来源线索下快速定位候选结果。通过 npx skills add 命令从 gannonh/kata-skills 仓库安装。安装前应确认权限范围、维护状态及是否触发联网或文件操作。

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/kata-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/gannonh/kata-skills --skill kata-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

    它需要接触敏感数据,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

kata-brainstorm 怎么安装?

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

kata-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。

kata-brainstorm 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

kata-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。

kata-brainstorm 用的人多吗?

公开数据是累计安装 416 次,近一周安装 17 次,下载 135 次,GitHub 1 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。

kata-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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
kata-brainstorm

卡塔头脑风暴 · 本页

4161接触敏感数据未明确通过

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

Explorer/Challenger Brainstorming

Run structured brainstorming sessions using paired agent teams. Each pair has an explorer (generates ideas) and a challenger (plays devil's advocate). Multiple pairs run in parallel with different remits, producing debate-tested proposals.

Default Team Structure

Three pairs, each with a different lens:

PairExplorerChallengerRemit
1explorer-quickwinschallenger-quickwinsLow-effort, high-impact improvements
2explorer-highvaluechallenger-highvalueSubstantial features worth significant investment
3explorer-radicalchallenger-radicalNew directions and paradigm shifts

The user may customize remits, number of pairs, or focus areas. Adapt the team structure to match.

Process

Step 0: Check Agent Teams Prerequisite

Brainstorming requires Claude Code Agent Teams (experimental). Check before proceeding.

  1. Run bash to check the env var:
echo "$CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS"
  1. If output is "1": Proceed to Step 1.
  2. If output is NOT "1": Run a secondary check against settings.json:
node -e "
  try {
    const fs = require('fs');
    const path = require('path');
    const s = JSON.parse(fs.readFileSync(path.join(process.env.HOME, '.claude', 'settings.json'), 'utf8'));
    console.log((s.env && s.env.CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS) || '');
  } catch(e) { console.log(''); }
"
  1. If settings.json shows "1" but env var doesn't: Display the following message and STOP (do not continue to Step 1):
Agent Teams is enabled in settings but requires a restart. Please exit Claude Code (/exit) and relaunch, then run /kata-brainstorm again.
  1. If neither env var nor settings.json shows "1": Present AskUserQuestion:

Header: Agent Teams Required

Question: Brainstorming uses Claude Code Agent Teams (experimental feature). Enable it?

Option A — Enable Agent Teams:

Run the settings.json merge (read-merge-write pattern):

node -e "
  const fs = require('fs');
  const path = require('path');
  const settingsPath = path.join(process.env.HOME, '.claude', 'settings.json');
  let settings = {};
  try {
    settings = JSON.parse(fs.readFileSync(settingsPath, 'utf8'));
  } catch (e) {}
  if (!settings.env) settings.env = {};
  settings.env.CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS = '1';
  fs.mkdirSync(path.dirname(settingsPath), { recursive: true });
  fs.writeFileSync(settingsPath, JSON.stringify(settings, null, 2));
  console.log('Agent Teams enabled in ~/.claude/settings.json');
"

Then display and STOP:

Agent Teams enabled in ~/.claude/settings.json. Please restart Claude Code (/exit then relaunch) and run /kata-brainstorm again.

Option B — Skip brainstorm:

Display and STOP:

Brainstorming requires Agent Teams. You can enable it later by adding CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 to ~/.claude/settings.json under the env key.

Step 1: Gather Context

Before spawning agents, assemble a project brief. The approach depends on whether this is a Kata project.

Check for Kata project:

[ -d ".planning" ] && echo "kata" || echo "generic"
Path A: Kata Project (.planning/ exists)

Read and condense the following sources into a single project brief (target ~1300 words total). Use the Read tool for each file. If any file is missing, skip it and continue with available data.

SourceWhat to extractTarget size
.planning/PROJECT.mdCore value statement, current milestone name and goals, validated requirements (list only), active requirements, constraints~500 words
.planning/ROADMAP.mdCurrent milestone section (phases with goals), progress summary table~300 words
.planning/issues/open/*.mdIssue titles and areas (one line each)~200 words
.planning/STATE.mdCurrent position block, recent decisions (last 3-5)~200 words

For open issues, list files with bash then read first few lines of each to extract titles:

ls .planning/issues/open/*.md 2>/dev/null | head -20
Path B: Non-Kata Project (no .planning/ directory)

Fall back to generic context gathering:

  • Read README.md or README if it exists
  • Read package.json description field if it exists
  • Read any CHANGELOG.md or HISTORY.md for recent changes
  • Read any roadmap, backlog, or planning files found in the repo root

Condense available information into a project brief.

Brief Injection

The assembled brief (Kata or generic) replaces the [CONDENSED PROJECT BRIEF] placeholder in the explorer and challenger prompt templates when spawning agents in Step 4.

Step 2: Create Output Directory

Create a timestamped output directory for this brainstorm session:

.planning/brainstorms/YYYY-MM-DDTHH-MM-brainstorm/

Use the current date and time (e.g., 2026-02-05T11-18-brainstorm). All agent output files and the final SUMMARY.md go here. Use this directory as the scratchpad for agent file writes (do NOT use /tmp or the scratchpad directory).

Step 3: Create Team and Tasks

  1. Create team with TeamCreate tool
  2. Create one task per agent (6 tasks for 3 pairs)
  3. Set dependencies: each challenger task is blocked by its paired explorer task

Step 4: Spawn Agents

Spawn all agents in parallel using the Task tool with team_name and name parameters. Use general-purpose subagent type for all agents.

Tell each agent to write output files to the brainstorm output directory created in Step 2.

Explorer prompt template:

You are an EXPLORER on a brainstorm team for [PROJECT]. Your job is to propose [REMIT DESCRIPTION] ideas.

## Your Role
Generate creative, practical ideas. You're the optimist — find opportunities.
[Don't self-censor. The challenger's job is to ground ideas — yours is to push boundaries.]

## Project Context
[CONDENSED PROJECT BRIEF]

## Your Task
1. Claim your task from the task list using TaskUpdate
2. Explore the codebase to understand current architecture and gaps
3. Read any backlog/issues for inspiration
4. Write [N] proposals to [OUTPUT_DIR]/[category]-ideas.md

For each idea, include:
- **Name**: Short descriptive name
- **What**: Description of the idea
- **Why**: Strategic justification
- **Scope**: Rough effort estimate
- **Risks**: What could go wrong

5. Message your challenger partner with a summary
6. Engage in 2-3 rounds of back-and-forth debate
7. Write final consolidated report to [OUTPUT_DIR]/[category]-report.md incorporating valid critiques
8. Mark your task as completed

Challenger prompt template:

You are a CHALLENGER (devil's advocate) on a brainstorm team for [PROJECT]. Your partner "[explorer-name]" is proposing [REMIT DESCRIPTION] ideas. Your job is to pressure-test them.

## Your Role
You're the skeptic. Find flaws, question assumptions, identify hidden complexity. But be constructive — if an idea survives your scrutiny, it's probably good. Your goal isn't to kill ideas but to make them better.
[Be specific. "This seems hard" is weak. "This requires X which has Y dependency" is strong.]

## Project Context
[CONDENSED PROJECT BRIEF]

## Your Task
1. Claim your task (blocked until explorer finishes initial proposals)
2. While waiting, explore the codebase to build your own understanding
3. When you receive ideas, evaluate each on:
   - Feasibility: Is the scope realistic?
   - Value: Does this solve a real problem?
   - Risks: What could go wrong?
   - Alternatives: Is there a simpler way?
4. Send critique back to your explorer partner
5. Engage in 2-3 rounds of discussion
6. After the explorer writes the final report, mark your task as completed

Your best output: "This idea is viable IF you scope it to X and start with Y."

Step 5: Monitor and Manage

  • Watch for task completions via TaskList
  • Shut down completed pairs (explorer first, then challenger) via shutdown_request messages
  • Don't intervene in debates unless an agent is stuck

Step 6: Synthesize and Write Reports

Once all pairs complete:

  1. Read all final reports from the output directory
  2. Clean up the team with TeamDelete tool
  3. Write a SUMMARY.md file to the output directory that consolidates all results:

- Brief intro describing the session (topic, number of pairs, remits) - One section per category summarizing the surviving proposals in a table - Links to the full category reports (e.g., [Full report](quickwins-report.md)) - Deferred/dropped items with brief rationale - Cross-cutting themes that emerged across multiple pairs - Recommended sequencing if applicable

  1. Present the SUMMARY.md content to the user

The final output directory structure should look like:

.planning/brainstorms/YYYY-MM-DDTHH-MM-brainstorm/
├── SUMMARY.md              # Consolidated synthesis (primary output)
├── [category]-ideas.md     # Raw proposals per pair
└── [category]-report.md    # Debate-refined reports per pair

Customization

Fewer/more pairs: Adjust based on scope. A focused session might use 1 pair. A broad exploration might use 4-5.

Custom remits: Replace the default three lenses with whatever framing suits the question. Examples:

  • Technical feasibility / Business value / User experience
  • Build / Buy / Partner
  • Short-term / Medium-term / Long-term
  • Core product / Adjacent markets / New markets

Solo explorer (no challenger): For pure idea generation without debate, spawn explorers only. Skip the challenger role.

Domain-specific context: For technical brainstorming, have explorers read specific code paths. For product brainstorming, have them research competitors or user feedback.

Output Structure

Each pair produces:

  • [category]-ideas.md — Explorer's initial proposals (raw)
  • [category]-report.md — Final consolidated report after debate (refined)

The SUMMARY.md is the primary deliverable. Category reports provide detail. Initial ideas files are retained for reference.

平台分布

Codex

38.68%
按下载量换算52

Claude

28.55%
按下载量换算39

Cursor

19.36%
按下载量换算26

Gemini CLI

9.77%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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