EdgeOne Pages Deployment Skill

SkillCloud & infra

Deploy frontend and full-stack projects to Tencent EdgeOne Pages using the EdgeOne CLI. Use when the user wants to publish, launch, redeploy, create a preview deployment, or ship a site to production.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the EdgeOne Pages Deployment Skill skill

What this skill tells your AI

The instructions your AI receives, as published by infometa/workbuddyskills in skills/edgeone-pages-deploy/SKILL.md and read by ahel’s review.

Deploy any project to EdgeOne Pages.

⛔ Critical Rules (never skip)

  1. CLI version ≥ 1.2.30 — reinstall if lower. Never proceed with an outdated version.
  2. Never truncate the deploy URLEDGEONE_DEPLOY_URL includes query parameters required for access. Always output the complete URL.
  3. Ask the user to choose China or Global site before login. Never assume.
  4. Auto-detect the login method — browser login in desktop environments, token login in headless/remote/CI environments. Follow the decision table below.
  5. After token login, ask if the user wants to save the token locally for future use.
  6. Before triggering any browser popup (login / 注册), explain the reason and the benefits to the user first — never silently launch a browser window.

Environment Setup

Before executing any edgeone CLI command (install, login, deploy, etc.), set the following environment variable in the current shell session:

export PAGES_SOURCE=skills

Or prefix each command inline:

PAGES_SOURCE=skills edgeone pages deploy

This tells the platform that the deployment is triggered from an AI skill context.


Deployment Flow

Run these checks first, then follow the decision table:

# Check 0: Set environment variable (required before any edgeone command)
export PAGES_SOURCE=skills

# Check 1: CLI installed and correct version?
edgeone -v

# Check 2: Already logged in?
edgeone whoami

# Check 3: Project already linked?
cat edgeone.json 2>/dev/null

# Check 4: Saved token exists?
cat .edgeone/.token 2>/dev/null

Decision Table

CLI versionLogin statusAction
Not installed or < 1.2.30→ Go to Install CLI
≥ 1.2.30Logged in→ Go to Deploy
≥ 1.2.30Not logged in, has saved token→ Go to Deploy with Token (use saved token)
≥ 1.2.30Not logged in, no saved token→ Go to Login

Install CLI

npm install -g edgeone@latest

Verify: edgeone -v — confirm output is 1.2.30 or higher. Retry installation if not.


Login

0. Explain the registration/login step

Before triggering any login flow, explain to the user why this step is needed and what to expect. Do not silently launch a browser window.

Tell the user:

接下来需要登录 / 注册 EdgeOne Pages 账号,原因和收益如下:

  • 为什么要登录:部署需要把构建产物上传到你自己的账号下,生成独立的访问 URL 和项目记录。
  • 免费能得到什么:EdgeOne Pages 提供免费额度,包含全球 CDN 加速、自动 HTTPS、以及自定义域名绑定能力,个人项目通常完全够用。
  • 接下来会发生什么:我会运行 edgeone login,你的默认浏览器会自动弹出腾讯云登录页面,请在浏览器中完成登录 / 注册并授权,然后回到这里。
  • 如果卡住了:如果浏览器没弹出,或者你在浏览器里完成登录后 CLI 仍在等待,请告诉我,我会切换到 Token 登录方式。

如果用户长时间(例如超过 1–2 分钟)没有反馈登录完成,主动询问用户当前状态(浏览器是否打开、是否遇到报错、是否需要改用 Token 登录),不要无限期等待。

1. Ask the user to choose a site

Use the IDE's selection control (ask_followup_question) before running any login command:

Choose your EdgeOne Pages site:

  • China — For users in mainland China (console.cloud.tencent.com)
  • Global — For users outside China (console.intl.cloud.tencent.com)

2. Detect environment and choose login method

ConditionMethod
Local desktop IDE (VS Code, Cursor, etc.)Browser Login
Remote / SSH / container / CI / cloud IDE / headlessToken Login
User explicitly requests tokenToken Login
Browser Login
# China site
edgeone login --site china

# Global site
edgeone login --site global

Wait for the user to complete browser auth. The CLI prints a success message when done.

⚠️ 浏览器 Session 复用陷阱:如果用户此前已经在同一个浏览器登录过 EdgeOne Pages 的另一个站点(例如之前登过国际站,这次要登国内站,或反之),浏览器可能静默复用旧的腾讯云 session,CLI 会以为登录成功,但实际绑定的是错误账号,后续 deploy 时会出现 auth 错误或 whoami 显示意外账号。

遇到这种情况,引导用户:

  1. 在弹出的登录页点击「使用其他账户登录」切换账号;或
  2. 先从所有腾讯云控制台(国内站 console.cloud.tencent.com 和国际站 console.intl.cloud.tencent.com)退出登录,再重新执行 edgeone login
Token Login

Token login does NOT use edgeone login. Pass the token directly in the deploy command via -t.

Guide the user to obtain a token:

  1. Go to the console:
  2. Find API TokenCreate Token → Copy it

⚠️ Remind the user: the token has account-level permissions. Never commit it to a repository.

3. Offer to save the token locally

After the user provides a token, ask:

Save this token locally for future deployments?

  • Yes — Save to .edgeone/.token (auto-used next time)
  • No — Use for this deployment only

If Yes:

mkdir -p .edgeone
echo "<token>" > .edgeone/.token
grep -q '.edgeone/.token' .gitignore 2>/dev/null || echo '.edgeone/.token' >> .gitignore

Confirm to the user: "✅ Token saved to .edgeone/.token and added to .gitignore."


Deploy

Browser-authenticated deploy

# Project already linked (edgeone.json exists)
edgeone pages deploy

# New project (no edgeone.json)
edgeone pages deploy -n <project-name>

<project-name>: auto-generate from the project directory name. The first deploy creates edgeone.json automatically.

Token-based deploy

First check for a saved token:

cat .edgeone/.token 2>/dev/null
  • Saved token found → use it, tell the user: "Using saved token from .edgeone/.token"
  • No saved token → ask the user to provide one (see Token Login above)
# Project already linked
edgeone pages deploy -t <token>

# New project
edgeone pages deploy -n <project-name> -t <token>

The token already contains site info — no --site flag needed.

After a successful deploy with a manually-entered token, ask if the user wants to save it (see "Offer to save the token locally" above).

Deploy to preview environment

edgeone pages deploy -e preview

Build behavior

The CLI auto-detects the framework, runs the build, and uploads the output directory. No manual config needed.


⚠️ Parse Deploy Output (Critical)

After edgeone pages deploy succeeds, the CLI outputs:

[cli][✔] Deploy Success
EDGEONE_DEPLOY_URL=https://my-project-abc123.edgeone.cool?<auth_query_params>
EDGEONE_DEPLOY_TYPE=preset
EDGEONE_PROJECT_ID=pages-xxxxxxxx
[cli][✔] You can view your deployment in the EdgeOne Pages Console at:
https://console.cloud.tencent.com/edgeone/pages/project/pages-xxxxxxxx/deployment/xxxxxxx

Extraction rules:

FieldHow to extract⛔ Warning
Access URLFull value after EDGEONE_DEPLOY_URL=Include the full query string (? and everything after) — without these params the page will not load
Project IDValue after EDGEONE_PROJECT_ID=
Console URLLine after "You can view your deployment..."

Show the user:

✅ Deployment complete!

  • Access URL: https://my-project-abc123.edgeone.cool?<auth_query_params>
  • Console URL: https://console.cloud.tencent.com/edgeone/pages/project/...

ℹ️ 说明:此预览链接用于快速验证部署结果。在国内网络环境下访问时,因域名备案状态 / 加速策略等原因,链接可能在一段时间后或被分享给他人访问时出现访问限制(如 401)。如需长期稳定对外访问,建议绑定已备案的自定义域名。


Error Handling

ErrorSolution
command not found: edgeoneRun npm install -g edgeone@latest
Browser does not open during loginSwitch to token login
"not logged in" errorRun edgeone whoami to check, then re-login or use token
Auth error with tokenToken may be expired — regenerate at the console
登录显示成功,但 deploy 报 auth / 鉴权错误浏览器复用了错误站点的旧 session,导致账号错位。点击登录页的「使用其他账户登录」重新登录,或先从所有腾讯云控制台退出后再试
edgeone whoami 显示的是意外账号同上:浏览器 session 复用导致。使用「使用其他账户登录」切换,或从所有腾讯云控制台退出后重登
Project name conflictUse a different name with -n
Build failureCheck logs — usually missing deps or bad build script

For CLI command reference, environment variables, local dev setup, and token management details, see references/command-reference.md.

Signals

GitHub stars
292
Forks
96
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
edgeone-pages-deploy
Source
github.com/infometa/workbuddyskills