Skills Plugins MCP Prompt Model 博客 我的中心
開発 #cloud

wrangler

Run or troubleshoot Wrangler CLI commands and configure Worker projects for local development, deployment, and Cloudflare resource management.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=cloudflare-skills-skills-wrangler-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name wrangler description Run or troubleshoot Wrangler CLI commands and configure Worker projects for local development, deployment, and Cloudflare resource management. Wrangler CLI Use the project's Wrangler version and retrieve the relevant documentation before writing commands or configuration. CLI flags and configuration fields change; do not rely on memorized examples. Inspect the Project Find the package manager, installed Wrangler version, package scripts, framework, and Wrangler config. Run commands through the project's scripts or package manager so they use its local version. Install dependencies using the existing lockfile when needed; do not silently upgrade Wrangler to match current docs. If Wrangler is not a dependency, follow the installation guide to add it locally. Identify the config used by the build or deploy command, including framework-generated config. Edit its source rather than generated output. Establish the target account, Worker, environment, and resource before running commands that change them. For data operations, determine whether the target is local or remote. Retrieve What the Task Needs Use the Cloudflare MCP docs tool if available, or fetch the relevant linked page directly. Follow links to the specific command or product involved; avoid loading the entire reference. If a page moves, rediscover it through the Wrangler command index or Cloudflare docs search. Task Source Discover commands and flags, including resource management, deployments, rollback, and diagnostics Project-local wrangler --help and wrangler <command> --help ; command reference Edit config or add a binding Installed wrangler/config-schema.json (usually under node_modules ); configuration reference Deploy a framework application Framework guides ; follow the guide for the project's existing framework and adapter Migrate an application to Workers when requested Pages to Workers ; Vercel to Workers Configure staging or production Environments Set secrets locally, in CI, or on a deployed Worker Secrets Generate binding and runtime types TypeScript Run locally or choose a testing approach Local development ; testing Diagnose authentication or select an account General commands , including whoami ; authentication profiles Deploy an unauthenticated prototype Claim deployments for eligibility, expiry, and claim URL handling; use a permanent account for production or CI Use installed help and schema to check whether documented features exist in the project's version. If a required feature needs an upgrade, make that dependency explicit. If retrieval is unavailable, state the gap and use available local evidence rather than inventing syntax. Apply the Change Prefer wrangler.jsonc for new config. Set a new project's compatibility date to today; review runtime changes and test when advancing an existing project's date. Preserve existing project conventions and avoid incidental format migrations. Check environment inheritance before adding bindings or variables. Some fields must be specified separately for each environment; a working default config does not establish that staging is configured. With the Cloudflare Vite plugin, select the environment via CLOUDFLARE_ENV at dev or build time. Deploy the resulting build; setting an environment at deploy time does not retarget its flattened config. See Vite environments . Reconcile dashboard changes with the config before deploying: Wrangler can overwrite dashboard variables and routes. When binding existing resources, verify their identifiers; omitted identifiers can trigger automatic provisioning . Distinguish local simulation from remote bindings during development. A locally running Worker can still access real resources; check the selected bindings before testing writes. Keep secret values out of command arguments, source code, and logs. Use the documented interactive input or protected file/stdin mechanism for the command. Local secret files must be ignored by version control and are not automatically uploaded as deployed secrets. For missing local secrets, check file precedence and any secrets.required declaration in the secrets docs. Treat wrangler secret put and secret delete as deployments: they create a version and deploy it immediately. Use the documented wrangler versions secret workflow when the change must be staged. Before a rollback, check rollback limitations : connected resources and their data are not rolled back with Worker code. Validate After changing config or bindings in a TypeScript project, regenerate types with the project's wrangler types command rather than hand-editing generated declarations. Run the relevant existing typecheck or tests. For deployment changes, use the project's build workflow and wrangler deploy --dry-run where supported, with the intended config and environment. A successful dry run checks the build and packaging; it does not prove remote resources or runtime behavior work. Use task-specific local or remote checks as appropriate to the requested work. Report what changed, the target environment, checks performed, and any unresolved validation gaps. Link the documentation used when the result depends on current command or configuration behavior.
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。