Best use case
oceanengine-ads is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Teams using oceanengine-ads 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/oceanengine-ads/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How oceanengine-ads Compares
| Feature / Agent | oceanengine-ads | 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?
This skill provides specific capabilities for your AI agent. See the About section for full details.
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.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# 巨量广告自动化投放 — LemClaw Skills
## Description
🎯 **乐盟互动出品** - 全功能集成巨量广告(Ocean Engine Ads)API,支持巨量引擎、巨量千川、穿山甲广告。包含自动化投放、智能优化、实时监控功能。
## 🌟 特色功能
### 🔥 自动化投放
- **智能投放计划**:基于历史数据的智能投放策略
- **预算自动分配**:根据ROI自动调整各计划预算
- **出价策略优化**:实时调整出价,最大化转化效果
- **创意自动轮换**:A/B测试和智能创意替换
### 📊 实时监控
- **实时数据监控**:监控曝光、点击、转化等关键指标
- **异常检测**:自动识别广告异常行为
- **实时告警**:关键指标异常时立即通知
- **趋势分析**:AI驱动的数据趋势分析
### 🤖 智能优化
- **ROI优化算法**:基于机器学习的ROI最大化
- **预算重分配**:自动调整高ROI计划的预算
- **定向优化**:智能调整受众定向参数
- **出价建议**:实时提供最优出价建议
## Setup
### Environment Variables
```bash
# 必需配置
OCEANENGINE_ACCESS_TOKEN=your_test_token
OCEANENGINE_APP_ID=your_app_id
OCEANENGINE_APP_SECRET=your_app_secret
# 可选配置
OCEANENGINE_ACCOUNT_ID=your_account_id # 用于测试账户
OCEANENGINE_TEST_MODE=true # 启用测试模式
```
### 快速开始
```bash
# 1. 安装依赖
pip install -r requirements.txt
# 2. 配置环境变量
export OCEANENGINE_ACCESS_TOKEN="your_token"
# 3. 测试连接
python3 -c "from oceanengine import OceanEngine; oe = OceanEngine(); print('连接成功:', oe.status())"
# 4. 开始自动化投放
python3 -m oceanengine --mode auto-launch
```
## 🎯 自动化投放模式
### 1. 智能投放模式
```python
from oceanengine import OceanEngine
oe = OceanEngine()
# 启动智能投放
oe.auto_launch(
campaign_name="智能投放测试",
objective="CONVERSIONS",
daily_budget=10000, # 100元
start_immediately=True,
optimization="ROI"
)
```
### 2. 预算优化模式
```python
# 自动预算重分配
oe.auto_budget_optimization(
budget_increase_threshold=1.5, # ROI > 1.5 时增加预算
budget_decrease_threshold=0.8, # ROI < 0.8 时减少预算
budget_change_percent=20 # 每次调整20%
)
```
### 3. 创意自动测试
```python
# A/B测试不同创意
oe.creative_ab_test(
test_duration=3, # 测试3天
metrics=["ctr", "cpc", "conversion"],
winner_threshold=0.1 # 胜者必须领先10%才应用
)
```
## 📈 智能优化功能
### ROI 最大化
```python
# 启动ROI优化
oe.optimize_for_roi(
target_roi=2.0, # 目标ROI 200%
max_budget_increase=50, # 单日最大预算增幅50%
min_budget=1000 # 最小日预算10元
)
```
### 实时监控
```python
# 实时监控广告表现
oe.real_time_monitor(
metrics=["impressions", "clicks", "cost"],
thresholds={
"cost_increase": 1.5, # 成本增加50%告警
"ctr_drop": 0.5, # 点击率下降50%告警
}
)
```
### 智能出价
```python
# 智能出价调整
oe.smart_bidding(
strategy="MAX_ROAS", # 最大化ROAS
learning_period=7, # 学习期7天
bid_adjustment_limit=0.3 # 出价调整限制±30%
)
```
## 📊 数据分析功能
### 智能报表
```python
# 生成智能分析报表
report = oe.generate_smart_report(
period="last_7d",
analysis_depth="comprehensive",
include_recommendations=True
)
print(f"总体ROI: {report['roi']:.2f}")
print(f"优化建议: {report['recommendations']}")
```
### 竞品分析
```python
# 分析竞争对手广告
competitor_analysis = oe.analyze_competitors(
industry="科技",
region="北京"
)
```
## 🛠️ 使用示例
### 基础使用
```python
from oceanengine import OceanEngine
# 初始化
oe = OceanEngine()
# 查询账户信息
account_info = oe.get_account_info()
# 创建广告计划
campaign = oe.create_campaign(
campaign_name="测试广告",
objective="CONVERSIONS",
daily_budget=10000
)
# 启动自动化
oe.start_auto_monitoring(campaign_id=campaign['id'])
```
### 高级自动化
```python
# 启动完整自动化流程
oe.start_full_automation(
campaign_config={
"name": "全自动化测试",
"objective": "CONVERSIONS",
"daily_budget": 20000
},
automation_rules={
"budget_optimization": True,
"creative_testing": True,
"targeting_optimization": True,
"real_time_monitoring": True
}
)
```
## 🔧 配置说明
### 自动化规则
```python
automation_rules = {
# 预算优化规则
"budget_rules": {
"enable": True,
"roi_threshold": 1.5,
"budget_change_percent": 20,
"min_daily_budget": 1000
},
# 创意测试规则
"creative_rules": {
"enable": True,
"test_duration": 3,
"winner_threshold": 0.1,
"max_variants": 5
},
# 出价策略
"bidding_rules": {
"strategy": "TARGET_ROAS",
"target_roas": 2.0,
"bid_adjustment_limit": 0.3
}
}
```
## 📊 监控告警
### 关键指标告警
- **成本异常告警**:成本突然增加>50%
- **ROI下降告警**:ROI<1.0
- **CTR异常告警**:点击率变化>30%
- **转化率异常告警**:转化率下降>40%
### 实时通知
```python
# 配置实时通知
oe.setup_real_time_alerts(
email="your_email@example.com",
webhook="https://your-webhook-url.com",
alert_types=["cost_alert", "roi_alert", "ctr_alert"]
)
```
## 🤖 使用说明
### 新手入门
1. 配置环境变量
2. 启用测试模式
3. 运行示例代码
4. 查看实时数据
### 高级使用
1. 自定义自动化规则
2. 配置多账户管理
3. 设置复杂预算策略
4. 使用高级分析功能
## 💰 费用说明
**注**:本技能由乐盟互动提供技术支持,**使用需按月付费**。具体价格请联系乐盟互动获取。
## 📞 支持与联系
- **技术支持**:aoqian@lemhd.cn
- **商务合作**:mast@lemhd.cn
- **官网**:http://www.lemeng123.com
## ⚠️ 重要提醒
1. **测试模式**:首次使用请开启测试模式
2. **预算控制**:设置合理的预算上限
3. **监控设置**:配置好监控告警
4. **数据安全**:妥善保存API密钥
## 🔄 更新日志
### v1.0.0 (2026-03-09)
- ✅ 初始版本发布
- ✅ 基础广告管理功能
- ✅ 智能投放自动化
- ✅ 实时监控告警
- ✅ ROI优化算法
- ✅ 创意A/B测试
- ✅ 乐盟互动商标植入
- ✅ 按月付费模式标注
---
**© 2026 乐盟互动 LemClaw | 按月付费使用**
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