Token导航 LogoToken导航

Agent Skill · 研究检索

second-brain(第二大脑)

second-brain 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。

second-brain 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,155。

总安装 27,456周安装 1,126GitHub Stars 236下载 8,888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:second-brain(第二大脑)
来源仓库:https://github.com/nicholasspisak/second-brain
仓库路径:skills/second-brain
安装命令:
npx skills add https://github.com/nicholasspisak/second-brain --skill second-brain
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/nicholasspisak/second-brain --skill second-brain

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。

第二大脑技能帮助用户组织和检索个人知识体系。适用于知识管理、学习笔记和思维整理场景。支持概念关联、知识图谱和智能检索功能。second-brain 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用时需注意知识更新的及时性和准确性维护。建议建立规范的记录和分类体系提高可用性。

来源仓库内路径:skills/second-brain

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/nicholasspisak/second-brain --skill second-bra…;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

    它需要操作浏览器,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

second-brain 怎么安装?

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

second-brain 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。

second-brain 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

second-brain 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。

second-brain 用的人多吗?

公开数据是累计安装 27,456 次,近一周安装 1,126 次,下载 8,888 次,GitHub 236 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。

second-brain 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
second-brain

第二大脑 · 本页

27,456236操作浏览器未明确有提醒

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

Second Brain — Onboarding Wizard

Set up a new Obsidian knowledge base using the LLM Wiki pattern. The LLM acts as librarian — reading raw sources, compiling them into a structured interlinked wiki, and maintaining it over time.

Wizard Flow

Guide the user through these 5 steps. Ask ONE question at a time. Each step has a sensible default — the user can accept it or provide their own value.

Step 1: Vault Name

Ask:

"What would you like to name your knowledge base? This will be the folder name." Default: second-brain

Accept any user-provided name. This becomes the folder name and the title in the agent config.

Step 2: Vault Location

Ask:

"Where should I create it? Give me a path, or I'll use the default." Default: ~/Documents/

Accept any absolute or relative path. Resolve ~ to the user's home directory. The final vault path is {location}/{vault-name}/.

Step 3: Domain / Topic

Ask:

"What's this knowledge base about? This helps me set up relevant tags and describe the vault's purpose." Examples: "AI research", "competitive intelligence on fintech startups", "personal health and fitness"

Accept free text. Use this to:

  • Write a one-line domain description for the agent config
  • Generate 5-8 suggested domain-specific tags

Step 4: Agent Config

Auto-detect which agent is running this skill. State it clearly:

"I'm running in [Agent Name], so I'll generate a [config file] for this vault."

Then ask:

"Do you use any other AI agents you'd like config files for? Options: Claude Code, Codex, Cursor, Gemini CLI — or skip."

Skip the agent that was auto-detected. Generate configs for all selected agents.

Agent detection logic:

  • If the CLAUDE.md convention is being used or the Skill tool is Claude Code's → Claude Code
  • If the environment indicates Codex → Codex
  • If .cursor/ exists in the working directory → Cursor
  • If GEMINI.md convention is being used → Gemini CLI
  • If unsure, ask the user which agent they're using

Step 5: Optional CLI Tools

Ask:

"These tools extend what the LLM can do with your vault. All optional but recommended:" 1. summarize — summarize links, files, and media from the CLI 2. qmd — local search engine for your wiki (helpful as it grows) 3. agent-browser — browser automation for web research "Install all, pick specific ones (e.g. '1 and 3'), or skip?"

Post-Wizard: Scaffold the Vault

After collecting all answers, execute these steps in order:

1. Create directory structure

Run the onboarding script, passing the full vault path:

bash <skill-directory>/scripts/onboarding.sh <vault-path>

This creates all directories and the initial wiki/index.md and wiki/log.md files.

2. Generate agent config file(s)

For each selected agent, read the corresponding template from <skill-directory>/references/agent-configs/:

AgentTemplateOutput FileOutput Location
Claude Codeclaude-code.mdCLAUDE.mdVault root
Codexcodex.mdAGENTS.mdVault root
Cursorcursor.mdsecond-brain.mdc<vault>/.cursor/rules/
Gemini CLIgemini.mdGEMINI.mdVault root

For each template, replace the placeholders:

  • {{VAULT_NAME}} → the vault name from Step 1
  • {{DOMAIN_DESCRIPTION}} → a one-line description derived from Step 3
  • {{DOMAIN_TAGS}} → generate 5-8 domain-relevant tags as a bullet list based on the domain from Step 3
  • {{WIKI_SCHEMA}} → read <skill-directory>/references/wiki-schema.md and insert everything from ## Architecture onward

Write the generated config to the vault.

3. Update wiki/log.md

Append the setup entry:

## [YYYY-MM-DD] setup | Vault initialized
Created vault "{{VAULT_NAME}}" for {{DOMAIN_DESCRIPTION}}.
Agent configs: {{list of generated config files}}.

4. Install CLI tools (if selected)

For each tool the user selected in Step 5, run the install command:

  • summarize: npm i -g @steipete/summarize
  • qmd: npm i -g @tobilu/qmd
  • agent-browser: npm i -g agent-browser && agent-browser install

After each install, verify with <tool> --version. Report success or failure for each.

5. Print summary

Show the user:

  1. What was created — directory tree and config files
  2. Required next step — install the Obsidian Web Clipper browser extension: Install the Obsidian Web Clipper to easily save web articles into your vault: https://chromewebstore.google.com/detail/obsidian-web-clipper/cnjifjpddelmedmihgijeibhnjfabmlf
  3. How to start — open the vault folder in Obsidian, clip an article to raw/, then run /second-brain-ingest

Reference Files

These files are bundled with this skill and available at <skill-directory>/references/:

  • wiki-schema.md — canonical wiki rules (single source of truth for all agent configs)
  • tooling.md — CLI tool details, install commands, and verification steps
  • agent-configs/claude-code.md — CLAUDE.md template
  • agent-configs/codex.md — AGENTS.md template
  • agent-configs/cursor.md — Cursor rules template
  • agent-configs/gemini.md — GEMINI.md template

Next Steps

After setup is complete, the user's workflow is:

  1. Clip articles to raw/ using the Obsidian Web Clipper
  2. Ingest sources with /second-brain-ingest — processes raw files into wiki pages
  3. Ask questions with /second-brain-query — searches and synthesizes from the wiki
  4. Health-check with /second-brain-lint — run after every 10 ingests or monthly

平台分布

Codex

34.84%
按下载量换算3,097

Claude

30.93%
按下载量换算2,749

Cursor

18.88%
按下载量换算1,678

Gemini CLI

8.06%
按下载量换算716

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills