Category: service

AI Staff Website Builder (零号员工建站)

Validation

mkdir -p output/alibabacloud-wxz-website-builder
for f in skills/ai/service/alibabacloud-wxz-website-builder/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/alibabacloud-wxz-website-builder/validate.txt

Pass criteria: command exits 0 and output/alibabacloud-wxz-website-builder/validate.txt is generated.

Output And Evidence

• Save list/summarize outputs under output/alibabacloud-wxz-website-builder/.
• Keep conversation IDs and event summaries in each evidence file.

Prerequisites

pip install alibabacloud_tea_openapi>=0.4.4 alibabacloud_tea_util>=0.3.14

• Credentials are resolved via the default credential chain (no explicit AK/SK needed).

Authentication

This skill relies on the Alibaba Cloud default credential chain. Do NOT set AK/SK explicitly. The SDK automatically resolves credentials in the following order:

1. Environment variables: ALIBABACLOUD_ACCESS_KEY_ID / ALIBABACLOUD_ACCESS_KEY_SECRET
2. Shared config file: ~/.alibabacloud/credentials
3. RAM role / ECS metadata service (when running on Alibaba Cloud instances)

Region: ALIBABACLOUD_REGION_ID defaults to cn-hangzhou.

How to obtain AccessKey (if user doesn't have one)

If the user has no AccessKey yet, guide them through these steps (see references/ak-setup-guide.md for full details):

1. Login: Open https://www.aliyun.com and log in (or register)
2. Create RAM user: Go to https://ram.console.aliyun.com/users → "Create User" → check "OpenAPI Access" → save the AK/SK immediately (Secret is only shown once!)
3. Grant permissions: Add a custom policy with the following Actions (least-privilege):
   • zero2staff:CreateAIStaffConversation
   • zero2staff:CreateAIStaffChat
   • zero2staff:ListAIStaffChatEvents
   • zero2staff:ListAIStaffChatMessages
4. Configure: Write to ~/.alibabacloud/credentials or set environment variables

CRITICAL: When guiding the user, remind them:

• Do NOT use root account AccessKey — always use RAM sub-user
• Save the AccessKey Secret immediately — it's only shown once during creation
• Never commit AccessKey to git

If the user encounters auth errors, refer to the troubleshooting table in references/ak-setup-guide.md.

Application Lifecycle

The complete flow has 3 phases. Follow them sequentially.

IMPORTANT — Agent-driven polling: The chat command fires the request and returns immediately. The agent then drives the polling loop via the poll command. Between each poll, the agent MUST show the user a progress message so they know what's happening (use progressDetail for rich messages).

Phase 1: Create Conversation
        ↓
Phase 2: Fire requirement chat → poll → HITL → Fire resume → poll → ... → PRD ready
        ↓
Phase 3: Fire code generation → Show link → poll loop with progress → Site ready

Phase 0: Auth Setup

Ensure Alibaba Cloud credentials are configured via the default credential chain (see Authentication section above).

Phase 1: Create Conversation

MUST create a conversation before any chat operation:

CONV=$(python scripts/aistaff_api.py create-conversation --text "做个popmart首页")
CONV_ID=$(echo $CONV | jq -r '.ConversationId')
CHAT_ID=$(echo $CONV | jq -r '.ChatId')
SITE_ID=$(echo $CONV | jq -r '.SiteId')

Returns flat JSON: {ConversationId, SiteId, ChatId, SectionId, BotId, Title}.

Phase 2: Requirement Collection + PRD

This phase collects requirements and generates a PRD. The platform may ask multiple HITL rounds (basic info → features → language, etc.). To keep things fast:

• Only the first HITL round should be shown to the user (basic project info).
• All subsequent HITL rounds must be auto-filled with the form's default/pre-selected values and resumed immediately — do NOT ask the user.

Step 1: Fire requirement collection

python scripts/aistaff_api.py chat \
  --text "做个popmart首页" \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID

Tell user: "正在分析您的需求，请稍候..."

Step 2: Poll until first HITL form arrives

Call poll every 5 seconds until phase is waiting_for_input:

python scripts/aistaff_api.py poll \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --last-event-id 0

Between each poll, show the user a progress message based on phase:

• processing → "需求分析进行中..."
• fetching_reference → "正在获取参考网站信息..."
• waiting_for_input → First HITL form arrived, proceed to Step 3.

Step 3: First HITL — collect answers from user

Extract questions from the metaData.arguments of the message.tool event where name: "AskUserQuestion". Present these questions to the user via the AskUserQuestion tool (typically: app name, business description, target users, reference site).

Step 4: Fire resume with --phase generate_prd

CRITICAL: On the first HITL resume, always pass --phase generate_prd --user-navigation generate_prd.

python scripts/aistaff_api.py chat \
  --text '{"应用名称": "POP MART 官网", "主营服务": "潮流玩具", "目标用户": "Z世代潮流青年", "参考网站": "无"}' \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --chat-id $CHAT_ID \
  --chat-status interrupt \
  --phase generate_prd \
  --user-navigation generate_prd \
  --hidden --without-refer

The --text JSON keys MUST match the header values from the form.

Tell user: "已收到您的需求，正在生成产品方案..."

Step 5: Poll loop — auto-fill subsequent HITL rounds until PRD is ready

Poll every 5 seconds. Based on phase / summary, take action:

• phase == "waiting_for_input" (another HITL question) → Auto-fill immediately using the answers field from the AskUserQuestion event, then fire resume again. Tell user: "正在完善需求细节..."
• phase == "generating_prd" → Tell user: "PRD 方案生成中，请稍候..."
• phase == "fetching_reference" → Tell user: "正在获取参考资料..."
• summary.chatStatus == "success" + summary.hasPrd == true → PRD ready, proceed to Phase 3.
• summary.chatStatus == "fail" → Ask user whether to retry.

# Poll example:
python scripts/aistaff_api.py poll \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --last-event-id $LAST_EVENT_ID

# Auto-fill example (use the "answers" field from the AskUserQuestion event):
python scripts/aistaff_api.py chat \
  --text '{"核心功能": ["商品展示", "品牌故事", "新闻资讯"]}' \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --chat-id $CHAT_ID \
  --chat-status interrupt \
  --phase generate_prd \
  --user-navigation generate_prd \
  --hidden --without-refer

Key rule: The platform's AskUserQuestion event always includes an answers field with sensible defaults. For rounds after the first, always use these defaults directly instead of prompting the user.

Phase 3: Code Generation

When PRD is ready:

Step 1: Fire code generation

python scripts/aistaff_api.py chat \
  --text "确认生成应用" \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --phase generate_code \
  --without-refer

Step 2: Show site link immediately

MUST show before and after code generation:

https://wanwang.aliyun.com/webdesign/home#/ai/manage/prd?conversationId=\x3CCONV_ID>

Tell user: "代码生成已启动，通常需要 2-5 分钟。您可以先通过上面的链接查看项目，我会持续跟踪进度..."

Step 3: Poll loop with progress updates

Poll every 10 seconds. Show the user progress between each poll:

python scripts/aistaff_api.py poll \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --last-event-id $LAST_EVENT_ID

Progress messages to show (use progressDetail for rich messages):

• phase == "processing" + progressDetail.latestFile exists → "代码生成中...正在写入: {latestFile.semantic}（已生成 {filesWrittenCount} 个文件）"
• phase == "processing" + no latestFile → "代码生成中...已处理 N 个事件"
• phase == "processing" + progressDetail.lastMessage exists → Also show the assistant's latest message as context
• phase == "success" → Site is ready! Show link again.
• phase == "fail" → Ask user whether to retry.

Step 4: Handle completion

• summary.chatStatus == "success" → Site is ready. Show site link again.
• summary.chatStatus == "fail" or summary.hasError == true → Ask user whether to retry. Do NOT auto-retry.

After Initial Generation

• Use chat with --conversation-id to modify the site.
• Each modification uses the same chat + poll pattern.
• Show the site link again after each modification.

Decision Table

Available Commands

create-conversation

python scripts/aistaff_api.py create-conversation --text "用户问题"

Returns flat JSON: {ConversationId, SiteId, ChatId, SectionId, BotId, Title}.

chat

Fire an async chat message and return immediately. Automatically drains old SSE events before firing. Use poll afterwards to track progress.

python scripts/aistaff_api.py chat --text "description" --conversation-id \x3CID> --biz-id \x3CID> [options]

Key parameters:

• --text TEXT: Message text or form answers JSON (required)
• --conversation-id ID / --biz-id ID: Required identifiers
• --chat-id ID + --chat-status interrupt: For HITL resume
• --phase {requirement_collect,generate_prd,generate_code}: Phase to enter
• --user-navigation TARGET: Navigation target (use generate_prd with --phase generate_prd)
• --hidden / --without-refer: Hide message / skip reference context
• --verbose: Show debug info

Returns JSON:

{
  "conversationId": "conv-xxx",
  "chatId": "chat-xxx",
  "status": "fired",
  "error": null
}

poll

Single-shot status check — fetches new events once + checks message status, then returns immediately. Designed for agent-driven polling loops where the agent controls the pace and shows progress to the user between calls.

python scripts/aistaff_api.py poll --conversation-id \x3CID> --biz-id \x3CID> [--last-event-id N]

Key parameters:

• --last-event-id N: Cursor from previous poll (default: 0). Pass the lastEventId from the previous poll result to get only new events.
• --max-output-events N: Limit events in output (default: 10, 0=unlimited)

Returns JSON:

{
  "conversationId": "conv-xxx",
  "lastEventId": 45,
  "newEvents": 3,
  "phase": "generating_prd",
  "summary": {
    "chatStatus": "processing",
    "hasError": false,
    "errorMsg": "",
    "hasPrd": false,
    "toolsCalled": ["FetchWebsiteInfo"]
  },
  "progressDetail": {
    "filesWrittenCount": 5,
    "activeTools": ["Write"],
    "latestFile": {
      "path": "/home/wuying/workspace/src/components/Hero.tsx",
      "semantic": "首页 Hero 轮播组件",
      "status": "wait"
    },
    "allFiles": [
      {"path": "/home/wuying/workspace/src/types/order.ts", "semantic": "订单类型定义"},
      {"path": "/home/wuying/workspace/src/components/Hero.tsx", "semantic": "首页 Hero 轮播组件"}
    ],
    "lastMessage": "好的，正在为您生成首页组件...",
    "toolProgress": [
      {"name": "Write", "status": "done", "semantic": "订单类型定义"},
      {"name": "Write", "status": "wait", "semantic": "首页 Hero 轮播组件"}
    ]
  },
  "events": ["(last 10 events)"]
}

progressDetail fields — use these to build informative progress messages:

• filesWrittenCount: Total number of files generated so far.
• activeTools: Tools currently in progress (status=wait). Empty when all tools have completed.
• latestFile: The most recent file being written — show semantic to the user (e.g. "正在生成: 首页 Hero 轮播组件").
• allFiles: Complete list of files written, each with path and semantic.
• lastMessage: Latest assistant text message (truncated to 200 chars).
• toolProgress: Per-tool status list with name, status (wait/done), and semantic.

Suggested progress messages based on progressDetail:

• If latestFile has status == "wait": "正在生成: {latestFile.semantic}..."
• If latestFile has status == "done" and activeTools is empty: "已完成 {filesWrittenCount} 个文件，等待下一步..."
• If filesWrittenCount > 0 and activeTools is not empty: "代码生成中...已生成 {filesWrittenCount} 个文件，正在写入: {latestFile.semantic}"
• If lastMessage is not empty: Show it as additional context.

phase values:

list-messages

Query the latest chat messages. Returns the last N messages (default: 10).

python scripts/aistaff_api.py list-messages --conversation-id \x3CID> [--tail 10]

Key usage: Use this to check ChatStatus of the last message when poll shows no progress.

SSE Event Constraints

• Each new chat round may wipe previous SSE events. The chat command automatically drains old events before firing.
• When using poll, pass the lastEventId from the previous poll result to avoid re-processing events.
• During code generation, the platform may auto-trigger multiple "magic fix" rounds. The poll command detects this via event summary.

Error Handling

Complete Workflow Example

cd skills/ai/service/alibabacloud-wxz-website-builder

# Phase 1: Create conversation
CONV=$(python scripts/aistaff_api.py create-conversation --text "做个popmart首页")
CONV_ID=$(echo $CONV | jq -r '.ConversationId')
CHAT_ID=$(echo $CONV | jq -r '.ChatId')
SITE_ID=$(echo $CONV | jq -r '.SiteId')

# Phase 2 Step 1: Fire requirement collection
python scripts/aistaff_api.py chat \
  --text "做个popmart首页" \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID
# → Tell user: "正在分析您的需求，请稍候..."

# Phase 2 Step 2: Poll until first HITL form arrives
# (agent calls this every ~5s, shows progress between calls)
python scripts/aistaff_api.py poll \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --last-event-id 0
# → Check phase: "waiting_for_input" means form is ready

# Phase 2 Step 3: Parse AskUserQuestion → collect from user (FIRST round only)

# Phase 2 Step 4: Fire resume with user answers
python scripts/aistaff_api.py chat \
  --text '{"应用名称": "POP MART 官网", "主营服务": "潮流玩具", "目标用户": "Z世代潮流青年", "参考网站": "无"}' \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --chat-id $CHAT_ID \
  --chat-status interrupt \
  --phase generate_prd \
  --user-navigation generate_prd \
  --hidden --without-refer
# → Tell user: "已收到您的需求，正在生成产品方案..."

# Phase 2 Step 5: Poll loop (agent-driven, ~5s interval)
# - phase="waiting_for_input" → auto-fill with defaults, fire resume
#   → Tell user: "正在完善需求细节..."
# - phase="generating_prd" → Tell user: "PRD 方案生成中..."
# - summary.chatStatus="success" + summary.hasPrd=true → PRD ready, proceed

# Phase 3 Step 1: Fire code generation
python scripts/aistaff_api.py chat \
  --text "确认生成应用" \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --phase generate_code \
  --without-refer

# Phase 3 Step 2: Show link immediately
echo "Link: https://wanwang.aliyun.com/webdesign/home#/ai/manage/prd?conversationId=$CONV_ID"
# → Tell user: "代码生成已启动，通常需要 2-5 分钟..."

# Phase 3 Step 3: Poll loop with progress (~10s interval)
python scripts/aistaff_api.py poll \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID \
  --last-event-id $LAST_EVENT_ID
# → Use progressDetail.latestFile.semantic for rich messages
# → phase="success" → show link again, done!

# Modify site (optional, same chat+poll pattern)
python scripts/aistaff_api.py chat \
  --text "首页title改下" \
  --conversation-id $CONV_ID \
  --biz-id $SITE_ID
# → poll loop...