Best use case
DataWorks 每日任务监控技能 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## 功能
Teams using DataWorks 每日任务监控技能 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dataworks-daily-monitor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How DataWorks 每日任务监控技能 Compares
| Feature / Agent | DataWorks 每日任务监控技能 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## 功能
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# DataWorks 每日任务监控技能 ## 功能 每日统计 DataWorks 任务运行情况,成功/失败汇总,失败任务告警 ## 触发词 - "检查 DataWorks 任务状态" - "昨天 DataWorks 任务运行情况" - "DataWorks 失败任务有哪些" - "dataworks 监控" - "任务运行日报" ## 执行流程 ### 1. 读取配置 从环境变量读取: - `ALIYUN_ACCESS_KEY_ID` - `ALIYUN_ACCESS_KEY_SECRET` - `DATAWORKS_PROJECT_ID` - `DATAWORKS_REGION_ID` (默认:cn-shanghai) ### 2. 计算时间范围 获取昨天的时间范围: - Start: 昨天 00:00:00 - End: 昨天 23:59:59 ### 3. 调用 DataWorks API ```python ListDagInstances( ProjectId=PROJECT_ID, StartTime=start_time, EndTime=end_time ) ``` ### 4. 统计任务状态 **状态分类:** - ✅ 成功 (SUCCESS, SUCCEEDED) - ❌ 失败 (FAILED, FAILURE) - ⏳ 运行中 (RUNNING, PENDING) - ❄️ 冻结/暂停 (FROZEN, FREEZED) - **不计入失败** - ⏭️ 未运行 (NOT_RUN, SKIP, SKIPPED) - **不计入失败** - 📊 其他 **统计逻辑:** - 实际运行数 = 成功 + 失败 + 运行中 - 冻结/暂停/未运行的任务单独统计,不算失败 ### 5. 生成报告 ``` 📊 DataWorks 任务日报 (2026-02-26) ✅ 成功:158 个 ❌ 失败:3 个 ⏳ 运行中:0 个 📋 总计:161 个 ❌ 失败任务: 1. ods_user_info_df - 数据源连接超时 2. dwd_order_detail_di - 字段类型不匹配 3. ads_daily_report_di - 内存不足 详情:https://dataworks.console.aliyun.com/... ``` ### 6. 发送报告 通过飞书发送给用户 ### 7. 失败告警 如果有失败任务,@用户告警 ## API 配置 **环境变量:** ```bash export ALIYUN_ACCESS_KEY_ID="your_access_key_id" export ALIYUN_ACCESS_KEY_SECRET="your_access_key_secret" export DATAWORKS_PROJECT_ID="your_project_id" export DATAWORKS_REGION_ID="cn-shanghai" ``` ## 核心 API | API | 功能 | |-----|------| | `ListDagInstances` | 获取指定日期的任务实例列表 | | `GetInstanceStatus` | 查询任务实例状态 | ## 报告格式 ``` 📊 DataWorks 任务日报 (YYYY-MM-DD) ✅ 成功:X 个 ❌ 失败:X 个 ⏳ 运行中:X 个 📋 总计:X 个 ❌ 失败任务: 1. 任务名 - 错误信息 2. ... 详情链接:[DataWorks 控制台] ``` ## 定时任务 **时间:** 每天上午 9:00 自动执行 **触发词:** `dataworks-daily-check` ## 注意事项 1. **权限要求** - 需要有 DataWorks API 访问权限 2. **配置安全** - AccessKey 不要泄露 3. **失败告警** - 有失败任务时立即告警 4. **报告保存** - 可选保存到文件
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