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Agent Skill · 研究检索

cursor-codebase-indexing(Cursor codebase indexing 搜索)

cursor-codebase-indexing 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。

cursor-codebase-indexing 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 44,842。

总安装 888周安装 37GitHub Stars 2,119下载 296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:cursor-codebase-indexing(Cursor codebase indexing 搜索)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/cursor-codebase-indexing
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill cursor-codebase-indexing
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/jeremylongshore/claude-code-plugins-plus-skills --skill cursor-codebase-indexing

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。

cursor-codebase-indexing 用于设置和优化Cursor的代码索引系统,提升@Codebase语义搜索效果。适用于改善AI对项目上下文的理解能力,增强Chat和Composer的准确性。需运行索引命令并配置Turbopuffer向量存储,系统将建立代码块嵌入数据库。

安装前建议确认网络连通性和云存储访问权限。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/cursor-codebase-indexing

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/jeremylongshore/claude-code-plugins-plus-skill…;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

cursor-codebase-indexing 怎么安装?

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

cursor-codebase-indexing 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。

cursor-codebase-indexing 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。

cursor-codebase-indexing 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。

cursor-codebase-indexing 用的人多吗?

公开数据是累计安装 888 次,近一周安装 37 次,下载 296 次,GitHub 2,119 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。

cursor-codebase-indexing 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。
  • 来源仓库有 2,119 星,维护活跃度相对可查。

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
cursor-codebase-indexing

Cursor codebase indexing 搜索 · 本页

8882,119可写文件未明确通过

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

Cursor Codebase Indexing

Set up and optimize Cursor's codebase indexing system. Indexing creates embeddings of your code, enabling @Codebase semantic search and improving AI context awareness across Chat, Composer, and Agent mode.

How Indexing Works

Your Code Files
      │
      ▼
  Syntax Chunking ─── splits files into meaningful code blocks
      │
      ▼
  Embedding Generation ─── converts chunks to vector representations
      │
      ▼
  Vector Storage (Turbopuffer) ─── cloud-hosted nearest-neighbor search
      │
      ▼
  @Codebase Query ─── your question → embedding → similarity search → relevant chunks

Key Architecture Details

  • Merkle tree for change detection: only modified files are re-indexed (every 10 minutes)
  • No plaintext storage: code is not stored server-side; only embeddings and obfuscated metadata
  • Privacy Mode compatible: with Privacy Mode on, embeddings are computed without retaining source code
  • Indexing runs in the background; small projects complete in seconds, large projects (50K+ files) may take hours initially

Initial Setup

  1. Open your project in Cursor
  2. Indexing starts automatically on first open
  3. Check status: look at the bottom status bar for "Indexing..." indicator
  4. View indexed files: Cursor Settings > Features > Codebase Indexing > View included files

Verify Indexing Status

The status bar shows:

  • "Indexing..." with progress indicator -- initial indexing in progress
  • "Indexed" -- indexing complete, @Codebase queries are available
  • No indicator -- indexing may be disabled or not started

Configuration

.cursorignore

Exclude files from indexing and AI features. Place in project root. Uses .gitignore syntax:

# .cursorignore

# Build artifacts (large, not useful for AI context)
dist/
build/
out/
.next/
target/

# Dependencies
node_modules/
vendor/
venv/
.venv/

# Generated files
*.min.js
*.min.css
*.bundle.js
*.map
*.lock

# Large data files
*.csv
*.sql
*.sqlite
*.parquet
fixtures/
seed-data/

# Secrets (defense in depth -- also use .gitignore)
.env*
**/secrets/
**/credentials/

.cursorindexingignore

Exclude files from indexing only but keep them accessible to AI features when explicitly referenced:

# .cursorindexingignore

# Large test fixtures -- don't index, but allow @Files reference
tests/fixtures/
e2e/recordings/

# Documentation build output
docs/.vitepress/dist/

Difference: .cursorignore hides files from both indexing and AI features. .cursorindexingignore only excludes from the index; files can still be referenced via @Files.

Default Exclusions

Cursor automatically excludes everything in .gitignore. You only need .cursorignore for files tracked by git that you want to exclude from AI.

Using the Index

@Codebase Queries

Ask semantic questions about your entire codebase:

@Codebase where is user authentication handled?

@Codebase show me all API endpoints that accept file uploads

@Codebase how does the payment processing flow work?

@Codebase find all places where we connect to Redis

@Codebase performs a nearest-neighbor search using your question's embedding. It returns the most semantically similar code chunks, even if they do not contain the exact keywords you used.

@Codebase vs @Files vs Text Search

MethodWhen to UseContext Cost
@CodebaseDiscovery -- you don't know which filesHigh (many chunks)
@FilesYou know exactly which fileLow (one file)
@FoldersYou know the directoryMedium-High
Ctrl+Shift+FExact text/regex matchN/A (editor search)

Use @Codebase for discovery, then switch to @Files once you know where the code lives.

Optimization for Large Projects

Monorepo Strategy

For monorepos with many packages, open the specific package directory instead of the root:

# Instead of opening the entire monorepo:
cursor /path/to/monorepo           # Indexes everything -- slow

# Open the specific package:
cursor /path/to/monorepo/packages/api   # Indexes only this package -- fast

Or use .cursorignore at the root to exclude packages you are not actively working on:

# .cursorignore -- monorepo, focus on api and shared
packages/web/
packages/mobile/
packages/admin/
# packages/api/    ← not listed, so it IS indexed
# packages/shared/ ← not listed, so it IS indexed

Re-Indexing

If search results are stale or indexing appears stuck:

  1. Cmd+Shift+P > Cursor: Resync Index
  2. Wait for status bar to show indexing progress
  3. If that fails, delete the local cache:

- macOS: ~/Library/Application Support/Cursor/Cache/ - Linux: ~/.config/Cursor/Cache/ - Windows: %APPDATA%\Cursor\Cache\

  1. Restart Cursor and allow full re-index

File Watcher Limits (Linux)

On Linux, large projects may hit the file watcher limit:

# Check current limit
cat /proc/sys/fs/inotify/max_user_watches

# Increase (temporary)
sudo sysctl fs.inotify.max_user_watches=524288

# Increase (permanent)
echo "fs.inotify.max_user_watches=524288" | sudo tee -a /etc/sysctl.conf
sudo sysctl -p

Enterprise Considerations

  • Data residency: Embeddings are stored in Turbopuffer (cloud). Obfuscated filenames and no plaintext code, but metadata exists
  • Privacy Mode: With Privacy Mode on, embeddings are computed with zero data retention at the provider
  • Air-gapped environments: Indexing requires network access to Cursor's embedding API. Not available offline
  • Indexing scope: Only files in the currently open workspace are indexed. Closing a project removes its index from active queries

Troubleshooting

SymptomCauseFix
@Codebase returns no resultsIndex not builtWait for "Indexed" in status bar
Search misses known filesFile in.gitignore or.cursorignoreCheck ignore files
Indexing stuck at N%Large project or network issueResync index via Command Palette
Stale results after refactorIndex not yet updatedWait 10 min or manual resync
High CPU during indexingInitial embedding computationNormal for first run; subsides

Resources

平台分布

Codex

37.36%
按下载量换算111

Claude

28.79%
按下载量换算85

Cursor

20.21%
按下载量换算60

Gemini CLI

9.59%
按下载量换算28

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。目前只有一个公开来源,建议同时核对源仓库。

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