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Agent Skill · 研究检索

wrangler(wrangler 命令行)

wrangler 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。

wrangler 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 470。

总安装 271,728周安装 11,056GitHub Stars 1,407下载 87,912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:wrangler(wrangler 命令行)
来源仓库:https://github.com/cloudflare/skills
仓库路径:skills/wrangler
安装命令:
npx skills add https://github.com/cloudflare/skills --skill wrangler
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/cloudflare/skills --skill wrangler

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。

用于部署和管理 Cloudflare Workers、KV、R2、D1、Vectorize、Hyperdrive、AI、容器、队列、工作流和管道的 CLI。

涵盖 10 多种资源类型,具有用于跨 Worker、存储、数据库和计算服务进行创建、配置和生命周期管理的专用命令 通过 wrangler dev 支持本地开发 使用本地存储模拟或远程绑定真实资源;包括通过 wrangler 类型生成 TypeScript 类型 通过 wrangler.jsonc 配置 支持特定于环境的覆盖、秘密管理、cron 触发器和持久对象绑定 提供部署工作流程,包括试运行验证、版本控制、回滚和机密管理;用于实时日志流的 tail 命令

来源仓库内路径:skills/wrangler

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/cloudflare/skills --skill wrangler;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

wrangler 怎么安装?

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

wrangler 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。

wrangler 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。

wrangler 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。

wrangler 用的人多吗?

公开数据是累计安装 271,728 次,近一周安装 11,056 次,下载 87,912 次,GitHub 1,407 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。

wrangler 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

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

wrangler 命令行 · 本页

271,7281,407接触敏感数据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

Wrangler CLI

Your knowledge of Wrangler CLI flags, config fields, and subcommands may be outdated. Prefer retrieval over pre-training for any Wrangler task.

Retrieval Sources

Fetch the latest information before writing or reviewing Wrangler commands and config. Do not rely on baked-in knowledge for CLI flags, config fields, or binding shapes.

SourceHow to retrieveUse for
Wrangler docshttps://developers.cloudflare.com/workers/wrangler/CLI commands, flags, config reference
Wrangler config schemanode_modules/wrangler/config-schema.jsonConfig fields, binding shapes, allowed values
Cloudflare docsSearch tool or https://developers.cloudflare.com/workers/API reference, compatibility dates/flags

FIRST: Check if Wrangler is installed, and if not, install it

Check if Wrangler is installed by running:

wrangler --version  # Requires v4.x+

If Wrangler is not installed, you should install it by running:

npm install -D wrangler@latest

Wherever possible, you should use Wrangler instead of manually constructing API requests.

Key Guidelines

  • Use wrangler.jsonc: Prefer JSON config over TOML. Newer features are JSON-only.
  • Set compatibility_date: Use a recent date (within 30 days). Check https://developers.cloudflare.com/workers/configuration/compatibility-dates/
  • Generate types after config changes: Run wrangler types to update TypeScript bindings.
  • Local dev defaults to local storage: Bindings use local simulation unless remote: true.
  • Profile Worker startup: Run wrangler check startup to measure startup time and detect scripts that exceed the startup time limit.
  • Use environments for staging/prod: Define env.staging and env.production in config.

Quick Start: New Worker

# Initialize new project
npx wrangler init my-worker

# Or with a framework
npx create-cloudflare@latest my-app

Quick Reference: Core Commands

TaskCommand
Start local dev serverwrangler dev
Deploy to Cloudflarewrangler deploy
Deploy dry runwrangler deploy --dry-run
Generate TypeScript typeswrangler types
Profile Worker startup timewrangler check startup
View live logswrangler tail
Delete Workerwrangler delete
Auth statuswrangler whoami

Configuration (wrangler.jsonc)

Minimal Config

{
  "$schema": "./node_modules/wrangler/config-schema.json",
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2026-01-01"
}

Full Config with Bindings

{
  "$schema": "./node_modules/wrangler/config-schema.json",
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2026-01-01",
  "compatibility_flags": ["nodejs_compat"],

  // Environment variables
  "vars": {
    "ENVIRONMENT": "production"
  },

  // KV Namespace
  "kv_namespaces": [
    { "binding": "KV", "id": "<KV_NAMESPACE_ID>" }
  ],

  // R2 Bucket
  "r2_buckets": [
    { "binding": "BUCKET", "bucket_name": "my-bucket" }
  ],

  // D1 Database
  "d1_databases": [
    { "binding": "DB", "database_name": "my-db", "database_id": "<DB_ID>" }
  ],

  // Workers AI (always remote)
  "ai": { "binding": "AI" },

  // Vectorize
  "vectorize": [
    { "binding": "VECTOR_INDEX", "index_name": "my-index" }
  ],

  // Hyperdrive
  "hyperdrive": [
    { "binding": "HYPERDRIVE", "id": "<HYPERDRIVE_ID>" }
  ],

  // Durable Objects
  "durable_objects": {
    "bindings": [
      { "name": "COUNTER", "class_name": "Counter" }
    ]
  },

  // Cron triggers
  "triggers": {
    "crons": ["0 * * * *"]
  },

  // Environments
  "env": {
    "staging": {
      "name": "my-worker-staging",
      "vars": { "ENVIRONMENT": "staging" }
    }
  }
}

Generate Types from Config

# Generate worker-configuration.d.ts
wrangler types

# Custom output path
wrangler types ./src/env.d.ts

# Check types are up to date (CI)
wrangler types --check

Local Development

Start Dev Server

# Local mode (default) - uses local storage simulation
wrangler dev

# With specific environment
wrangler dev --env staging

# Force local-only (disable remote bindings)
wrangler dev --local

# Remote mode - runs on Cloudflare edge (legacy)
wrangler dev --remote

# Custom port
wrangler dev --port 8787

# Live reload for HTML changes
wrangler dev --live-reload

# Test scheduled/cron handlers
wrangler dev --test-scheduled
# Then visit: http://localhost:8787/__scheduled

Remote Bindings for Local Dev

Use remote: true in binding config to connect to real resources while running locally:

{
  "r2_buckets": [
    { "binding": "BUCKET", "bucket_name": "my-bucket", "remote": true }
  ],
  "ai": { "binding": "AI", "remote": true },
  "vectorize": [
    { "binding": "INDEX", "index_name": "my-index", "remote": true }
  ]
}

Recommended remote bindings: AI (required), Vectorize, Browser Rendering, mTLS, Images.

Local Secrets

Create .dev.vars for local development secrets:

API_KEY=local-dev-key
DATABASE_URL=postgres://localhost:5432/dev

Deployment

Deploy Worker

# Deploy to production
wrangler deploy

# Deploy specific environment
wrangler deploy --env staging

# Dry run (validate without deploying)
wrangler deploy --dry-run

# Keep dashboard-set variables
wrangler deploy --keep-vars

# Minify code
wrangler deploy --minify

Manage Secrets

Security: Never pass secret values as command arguments or pipe them via echo. Use the interactive prompt (preferred), pipe from a file, or use secret bulk. Never output, log, or hardcode secret values in commands.
# Set secret — interactive prompt (preferred, wrangler will ask for the value securely)
wrangler secret put API_KEY

# Set secret from a file (useful for PEM keys, CI environments)
wrangler secret put PRIVATE_KEY < path/to/private-key.pem

# List secrets
wrangler secret list

# Delete secret
wrangler secret delete API_KEY

# Bulk secrets from JSON file (do not commit this file to version control)
wrangler secret bulk secrets.json

Versions and Rollback

# List recent versions
wrangler versions list

# View specific version
wrangler versions view <VERSION_ID>

# Rollback to previous version
wrangler rollback

# Rollback to specific version
wrangler rollback <VERSION_ID>

KV (Key-Value Store)

Manage Namespaces

# Create namespace
wrangler kv namespace create MY_KV

# List namespaces
wrangler kv namespace list

# Delete namespace
wrangler kv namespace delete --namespace-id <ID>

Manage Keys

# Put value
wrangler kv key put --namespace-id <ID> "key" "value"

# Put with expiration (seconds)
wrangler kv key put --namespace-id <ID> "key" "value" --expiration-ttl 3600

# Get value
wrangler kv key get --namespace-id <ID> "key"

# List keys
wrangler kv key list --namespace-id <ID>

# Delete key
wrangler kv key delete --namespace-id <ID> "key"

# Bulk put from JSON
wrangler kv bulk put --namespace-id <ID> data.json

Config Binding

{
  "kv_namespaces": [
    { "binding": "CACHE", "id": "<NAMESPACE_ID>" }
  ]
}

R2 (Object Storage)

Manage Buckets

# Create bucket
wrangler r2 bucket create my-bucket

# Create with location hint
wrangler r2 bucket create my-bucket --location wnam

# List buckets
wrangler r2 bucket list

# Get bucket info
wrangler r2 bucket info my-bucket

# Delete bucket
wrangler r2 bucket delete my-bucket

Manage Objects

# Upload object
wrangler r2 object put my-bucket/path/file.txt --file ./local-file.txt

# Download object
wrangler r2 object get my-bucket/path/file.txt

# Delete object
wrangler r2 object delete my-bucket/path/file.txt

Config Binding

{
  "r2_buckets": [
    { "binding": "ASSETS", "bucket_name": "my-bucket" }
  ]
}

D1 (SQL Database)

Manage Databases

# Create database
wrangler d1 create my-database

# Create with location
wrangler d1 create my-database --location wnam

# List databases
wrangler d1 list

# Get database info
wrangler d1 info my-database

# Delete database
wrangler d1 delete my-database

Execute SQL

# Execute SQL command (remote)
wrangler d1 execute my-database --remote --command "SELECT * FROM users"

# Execute SQL file (remote)
wrangler d1 execute my-database --remote --file ./schema.sql

# Execute locally
wrangler d1 execute my-database --local --command "SELECT * FROM users"

Migrations

# Create migration
wrangler d1 migrations create my-database create_users_table

# List pending migrations
wrangler d1 migrations list my-database --local

# Apply migrations locally
wrangler d1 migrations apply my-database --local

# Apply migrations to remote
wrangler d1 migrations apply my-database --remote

Export/Backup

# Export schema and data
wrangler d1 export my-database --remote --output backup.sql

# Export schema only
wrangler d1 export my-database --remote --output schema.sql --no-data

Config Binding

{
  "d1_databases": [
    {
      "binding": "DB",
      "database_name": "my-database",
      "database_id": "<DATABASE_ID>",
      "migrations_dir": "./migrations"
    }
  ]
}

Vectorize (Vector Database)

Manage Indexes

# Create index with dimensions
wrangler vectorize create my-index --dimensions 768 --metric cosine

# Create with preset (auto-configures dimensions/metric)
wrangler vectorize create my-index --preset @cf/baai/bge-base-en-v1.5

# List indexes
wrangler vectorize list

# Get index info
wrangler vectorize get my-index

# Delete index
wrangler vectorize delete my-index

Manage Vectors

# Insert vectors from NDJSON file
wrangler vectorize insert my-index --file vectors.ndjson

# Query vectors
wrangler vectorize query my-index --vector "[0.1, 0.2, ...]" --top-k 10

Config Binding

{
  "vectorize": [
    { "binding": "SEARCH_INDEX", "index_name": "my-index" }
  ]
}

Hyperdrive (Database Accelerator)

Manage Configs

# Create config
wrangler hyperdrive create my-hyperdrive \
  --origin-host db.example.com \
  --origin-port 5432 \
  --database my-database \
  --origin-user db-user \
  --origin-password "$DB_PASSWORD"

# Or using a connection string from an environment variable
wrangler hyperdrive create my-hyperdrive \
  --connection-string "$HYPERDRIVE_CONNECTION_STRING"

# List configs
wrangler hyperdrive list

# Get config details
wrangler hyperdrive get <HYPERDRIVE_ID>

# Update config
wrangler hyperdrive update <HYPERDRIVE_ID> \
  --origin-password "$DB_PASSWORD"

# Delete config
wrangler hyperdrive delete <HYPERDRIVE_ID>

Config Binding

{
  "compatibility_flags": ["nodejs_compat"],
  "hyperdrive": [
    { "binding": "HYPERDRIVE", "id": "<HYPERDRIVE_ID>" }
  ]
}

Workers AI

List Models

# List available models
wrangler ai models

# List finetunes
wrangler ai finetune list

Config Binding

{
  "ai": { "binding": "AI" }
}

Note: Workers AI always runs remotely and incurs usage charges even in local dev.


Queues

Manage Queues

# Create queue
wrangler queues create my-queue

# List queues
wrangler queues list

# Delete queue
wrangler queues delete my-queue

# Add consumer to queue
wrangler queues consumer add my-queue my-worker

# Remove consumer
wrangler queues consumer remove my-queue my-worker

Config Binding

{
  "queues": {
    "producers": [
      { "binding": "MY_QUEUE", "queue": "my-queue" }
    ],
    "consumers": [
      {
        "queue": "my-queue",
        "max_batch_size": 10,
        "max_batch_timeout": 30
      }
    ]
  }
}

Containers

Build and Push Images

# Build container image
wrangler containers build -t my-app:latest .

# Build and push in one command
wrangler containers build -t my-app:latest . --push

# Push existing image to Cloudflare registry
wrangler containers push my-app:latest

Manage Containers

# List containers
wrangler containers list

# Get container info
wrangler containers info <CONTAINER_ID>

# Delete container
wrangler containers delete <CONTAINER_ID>

Manage Images

# List images in registry
wrangler containers images list

# Delete image
wrangler containers images delete my-app:latest

Manage External Registries

Security: Never hardcode registry credentials in commands. Use environment variables.
# List configured registries
wrangler containers registries list

# Configure external registry (e.g., ECR)
wrangler containers registries configure <DOMAIN> \
  --aws-access-key-id "$AWS_ACCESS_KEY_ID"

# Configure DockerHub
wrangler containers registries configure <DOMAIN> \
  --dockerhub-username "$DOCKERHUB_USERNAME"

# Delete registry configuration
wrangler containers registries delete <DOMAIN>

Workflows

Manage Workflows

# List workflows
wrangler workflows list

# Describe workflow
wrangler workflows describe my-workflow

# Trigger workflow instance
wrangler workflows trigger my-workflow

# Trigger with parameters
wrangler workflows trigger my-workflow --params '{"key": "value"}'

# Delete workflow
wrangler workflows delete my-workflow

Manage Workflow Instances

# List instances
wrangler workflows instances list my-workflow

# Describe instance
wrangler workflows instances describe my-workflow <INSTANCE_ID>

# Terminate instance
wrangler workflows instances terminate my-workflow <INSTANCE_ID>

Config Binding

{
  "workflows": [
    {
      "binding": "MY_WORKFLOW",
      "name": "my-workflow",
      "class_name": "MyWorkflow"
    }
  ]
}

Pipelines

Manage Pipelines

# Create pipeline
wrangler pipelines create my-pipeline --r2 my-bucket

# List pipelines
wrangler pipelines list

# Show pipeline details
wrangler pipelines show my-pipeline

# Update pipeline
wrangler pipelines update my-pipeline --batch-max-mb 100

# Delete pipeline
wrangler pipelines delete my-pipeline

Config Binding

{
  "pipelines": [
    { "binding": "MY_PIPELINE", "pipeline": "my-pipeline" }
  ]
}

Secrets Store

Manage Stores

# Create store
wrangler secrets-store store create my-store

# List stores
wrangler secrets-store store list

# Delete store
wrangler secrets-store store delete <STORE_ID>

Manage Secrets in Store

# Add secret to store
wrangler secrets-store secret put <STORE_ID> my-secret

# List secrets in store
wrangler secrets-store secret list <STORE_ID>

# Get secret
wrangler secrets-store secret get <STORE_ID> my-secret

# Delete secret from store
wrangler secrets-store secret delete <STORE_ID> my-secret

Config Binding

{
  "secrets_store_secrets": [
    {
      "binding": "MY_SECRET",
      "store_id": "<STORE_ID>",
      "secret_name": "my-secret"
    }
  ]
}

Pages (Frontend Deployment)

# Create Pages project
wrangler pages project create my-site

# Deploy directory to Pages
wrangler pages deploy ./dist

# Deploy with specific branch
wrangler pages deploy ./dist --branch main

# List deployments
wrangler pages deployment list --project-name my-site

Observability

Tail Logs

# Stream live logs
wrangler tail

# Tail specific Worker
wrangler tail my-worker

# Filter by status
wrangler tail --status error

# Filter by search term
wrangler tail --search "error"

# JSON output
wrangler tail --format json

Config Logging

{
  "observability": {
    "enabled": true,
    "head_sampling_rate": 1
  }
}

Testing

Local Testing with Vitest

npm install -D @cloudflare/vitest-pool-workers vitest

vitest.config.ts:

import { defineWorkersConfig } from "@cloudflare/vitest-pool-workers/config";

export default defineWorkersConfig({
  test: {
    poolOptions: {
      workers: {
        wrangler: { configPath: "./wrangler.jsonc" },
      },
    },
  },
});

Test Scheduled Events

# Enable in dev
wrangler dev --test-scheduled

# Trigger via HTTP
curl http://localhost:8787/__scheduled

Troubleshooting

Common Issues

IssueSolution
command not found: wranglerInstall: npm install -D wrangler
Auth errorsRun wrangler login
Startup time limit exceededRun wrangler check startup to profile startup and generate CPU profiles
Type errors after config changeRun wrangler types
Local storage not persistingCheck .wrangler/state directory
Binding undefined in WorkerVerify binding name matches config exactly

Debug Commands

# Check auth status
wrangler whoami

# Profile Worker startup time
wrangler check startup

# View config schema
wrangler docs configuration

Best Practices

  1. Version control wrangler.jsonc: Treat as source of truth for Worker config.
  2. Use automatic provisioning: Omit resource IDs for auto-creation on deploy.
  3. Run wrangler types in CI: Add to build step to catch binding mismatches.
  4. Use environments: Separate staging/production with env.staging, env.production.
  5. Set compatibility_date: Update quarterly to get new runtime features.
  6. Use .dev.vars for local secrets: Never commit secrets to config.
  7. Test locally first: wrangler dev with local bindings before deploying.
  8. Use --dry-run before major deploys: Validate changes without deployment.
  9. Never embed secrets in commands: Use interactive prompts (wrangler secret put), file-based input (wrangler secret bulk), or secure CI environment variables. Never echo, log, or pass secret values as CLI arguments.

平台分布

Claude Code

27.87%
按下载量换算24,501

OpenCode

23.96%
按下载量换算21,064

Cursor

18.53%
按下载量换算16,290

Antigravity

12.47%
按下载量换算10,963

Gemini CLI

8.09%
按下载量换算7,112

Codex

3.69%
按下载量换算3,244

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。

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