Imported from infometa/workbuddyskills (experts/edgeone-makers-experts/skills/makers-deploy/SKILL.md). Install upstream with npx skills add infometa/workbuddyskills --skill makers-deploy. Copyright stays with the author.

EdgeOne Makers Deployment Skill

Deploy any project to EdgeOne Makers.

⛔ Critical Rules (never skip)

1. CLI version ≥ 1.6.0 — reinstall if lower. Versions below 1.6.0 lack the non-interactive fixes (whoami fail-fast, --json output) and will hang in Agent/CI environments. Never proceed with an outdated version.

2. Never truncate the deploy URL — this applies to EVERY mention — EDGEONE_DEPLOY_URL includes query parameters (?eo_token=...&eo_time=...) required for access. Without them the page returns 401. Always output the complete URL with full query string. This rule applies to: the primary display, summary tables, footnotes, comparisons, code blocks, present_files calls — every single occurrence of the URL in your reply. Truncation is any removal of the ? and everything after it.

   ❌ WRONG (truncated — will 401):

   https://my-app-w9t0lxe8.edgeone.cool
   

   ✅ CORRECT (full URL):

   https://my-app-w9t0lxe8.edgeone.cool?eo_token=abc123&eo_time=1234567890
   

   Self-check after writing your reply: scan for every instance of the .edgeone.cool domain. Does each one include ?eo_token=? If any doesn't, fix it NOW — the user will get a 401. 3a. Prefer --json when running non-interactively — in Agent/CI/headless contexts, always pass --json to deploy so the result is a single machine-readable line; no need to scrape colored/\r-animated stdout. See Parse Deploy Output. 3b. Use edgeone whoami to check login status — on CLI ≥ 1.6.0, whoami fails fast (exit 1) when not logged in instead of hanging. If it exits 0, the user is already logged in and -t is not needed. Do NOT check cat .edgeone/.token — CLI stores credentials in ~/.edgeone/<hash> files, not a fixed .token path.

3. ⚠️ The deploy result block is a fixed format — open your reply with it and add nothing extra. Your reply MUST begin with the line 🎉 部署成功，页面已上线至 EdgeOne Makers, followed by the complete access URL, followed by the console URL — and nothing else about the deployment. Do NOT append caveats, expiry claims, access-policy claims, or console menu paths. See Present the Deploy Result for the exact template and the list of banned fabrications.

   🎉 部署成功，页面已上线至 EdgeOne Makers
   
   🌐 https://my-project-abc123.edgeone.cool?<auth_query_params>
   
   控制台：<consoleUrl returned by the CLI, verbatim>
   

4. Ask the user to choose China or Global site before browser login. Never assume. (Token login via edgeone login --token auto-detects site, no need to ask.)

5. Auto-detect the login method — browser login in desktop environments, token login in headless/remote/CI environments. Follow the decision table below.

6. After token login, ask if the user wants to save the token locally for future use.

7. Before triggering any browser popup (login / registration), 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 makers 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? (must be >= 1.6.0)
edgeone -v

# Check 2: Already logged in? (CLI >= 1.6.0 whoami fails fast, won't hang)
edgeone whoami
# If exit 0 → logged in, no -t needed
# If exit 1 → not logged in, need token or browser login

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

Decision Table

Install CLI

Default — install from the npmmirror registry (much faster in mainland China; identical package):

npm install -g edgeone@latest --registry=https://registry.npmmirror.com

Verify: edgeone -v — confirm output is 1.6.0 or higher.

If the mirror install fails, or the version is still below 1.6.0, retry once against the official registry (npmmirror is a lazy-sync mirror and can lag behind a fresh publish):

npm install -g edgeone@latest --registry=https://registry.npmjs.org

(Versions < 1.6.0 hang on whoami/login in non-interactive environments and lack --json.)

For the full install error reference (ETIMEDOUT, EACCES, PATH issues), see the makers-cli skill's Install section.

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:

You need to log in or register an EdgeOne Makers account. Here's what to expect:

• Why login is required: Deployment uploads your build output to your own account, generating a unique access URL and project record.
• What you get for free: EdgeOne Makers offers a free tier with global CDN acceleration, automatic HTTPS, and custom domain binding — typically more than enough for personal projects.
• What happens next: I'll run edgeone login, and your default browser will open the Tencent Cloud login page. Please complete the login/registration and authorize access, then come back here.
• If you get stuck: If the browser doesn't open, or the CLI keeps waiting after you've logged in, let me know — I'll switch to Token login instead.

If the user does not respond for an extended period (e.g., more than 1–2 minutes), proactively ask about their status (whether the browser opened, any errors, or if they want to switch to Token login). Do not wait indefinitely.

1. Ask the user to choose a site, then ALWAYS pass --site

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

Choose your EdgeOne Makers site:

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

⚠️ CRITICAL: After the user chooses, you MUST invoke login with an explicit --site <china|global> flag (e.g. edgeone login --site china). NEVER run a bare edgeone login (without --site) when driven by an Agent / skill. On CLI ≥ 1.6.0, a bare login in a non-interactive context fails fast asking for --site (it no longer pops an interactive site-picker that would hang). The site choice is meant to happen here in the conversation, not inside the CLI.

2. Detect environment and choose login method

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.

⚠️ Browser Session Reuse Trap: If the user previously logged into a different site (e.g., logged into Global site before, now trying China site, or vice versa), the browser may silently reuse the old Tencent Cloud session. The CLI will appear to succeed, but actually binds to the wrong account — subsequent deploy will fail with auth errors or whoami shows an unexpected account.

If this happens, guide the user to:

1. Click "Sign in with a different account" on the login page; or
2. Log out from all Tencent Cloud consoles (both console.cloud.tencent.com and console.intl.cloud.tencent.com) first, then re-run edgeone login.

Token Login

Two methods available:

Method A: edgeone login --token (persistent, recommended)

edgeone login --token <token>

Auto-detects china/global from the token — no --site flag needed. Persists login state for subsequent commands.

Method B: Pass -t directly in deploy (per-invocation)

Token is used for that single deploy only; no persistent login state is saved.

edgeone makers deploy -t <token>

⚠️ Important: edgeone whoami does NOT support a -t flag. Do NOT attempt to verify a token with whoami -t <token>. When the user provides a token, skip login checks entirely and go straight to deploy.

Guide the user to obtain a token:

1. Go to the console:
   • China: https://console.cloud.tencent.com/edgeone/pages?tab=settings
   • Global: https://console.intl.cloud.tencent.com/edgeone/pages?tab=settings
2. Find API Token → Create 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 (Makers projects)

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

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

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

Token-based deploy (Makers projects)

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 makers deploy -t <token>

# New project
edgeone makers 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 makers deploy -e preview

Non-interactive / Agent / CI deploy (recommended: --json)

When running inside an Agent, CI, or any non-TTY context, add --json so the final result is emitted as a single machine-readable line — no scraping of colored stdout:

edgeone makers deploy -n <project-name> --json
edgeone makers deploy -n <project-name> -t <token> --json

Makers Agent Projects deploy

For projects with agents/ directory (AI Agent projects), use edgeone makers deploy which auto-runs build:

edgeone makers deploy -n <name> -t <token> --json
edgeone makers deploy -n <name> -t <token> --json -e preview

Note: edgeone makers deploy automatically runs build before deploying — no separate edgeone makers build step needed.

Build behavior

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

⚠️ Parse Deploy Output (Critical)

Preferred: --json (CLI ≥ 1.6.0)

When deploy is run with --json, the last line of stdout is a single JSON object — parse that directly, no regex / ANSI cleanup needed:

{"status":"success","url":"https://my-project-abc123.edgeone.cool?<auth_query_params>","type":"preset","projectId":"makers-xxxxxxxx","deploymentId":"dp-xxxx","consoleUrl":"https://console.cloud.tencent.com/edgeone/pages/project/makers-xxxxxxxx/deployment/xxxxxxx"}

On failure the last line is {"status":"error","error":"<message>"} and the process exits non-zero.

Use url (full, with query string), projectId, and consoleUrl directly.

Fallback: text output (no --json)

After edgeone makers 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=makers-xxxxxxxx
[cli][✔] You can view your deployment in the EdgeOne Makers Console at:
https://console.cloud.tencent.com/edgeone/pages/project/pages-xxxxxxxx/deployment/xxxxxxx

Extraction rules:

⛔ Present the Deploy Result (exact format — no improvisation)

Your reply MUST open with this line, verbatim:

🎉 部署成功，页面已上线至 EdgeOne Makers

Then the full access URL, then the console URL. Nothing else.

Template:

🎉 部署成功，页面已上线至 EdgeOne Makers

🌐 https://my-project-abc123.edgeone.cool?eo_token=abc123&eo_time=1234567890

控制台：<the consoleUrl value returned by the CLI, verbatim>

⛔ No extra description — this is the rule most often broken

Do NOT add any description, caveat, or guidance about the URL, the project, or the console. Output only the three lines above. Specifically, NEVER write any of these — every one of them has been fabricated by a model at some point and is either wrong or unverifiable:

If the CLI's JSON output contains an instruction field, follow it exactly. If it contains expiredTime, you may state that specific expiry — otherwise say nothing about expiry.

Rule of thumb: if a fact is not literally present in the CLI's output, it does not go into your reply.

URL Integrity Rules (read before composing your reply)

Scope: these presentation rules govern the deploy-result block. A later summary of the work (architecture, code walkthrough, follow-up suggestions) is fine — but any URL quoted there must still be complete, and the fabrication bans above still apply.

Error Handling

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