← 返回 Skills 市场
Global Ads Helper
作者
danyangliu
· GitHub ↗
· v1.0.0
319
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install global-ads-helper
功能描述
Plan global paid growth across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic by comparing country cost, co...
使用说明 (SKILL.md)
Global Ads Helper
Purpose
Core mission:
- Analyze market-level traffic cost and competition intensity by country.
- Design cross-channel budget allocation and coordination strategy.
- Forecast expansion ROI across markets.
- Generate global rollout recommendation and risk controls.
When To Trigger
Use this skill when the user asks for:
- multi-country growth strategy
- global channel budget allocation
- market expansion ROI prediction
- international ads rollout plan
High-signal keywords:
- global ads, market, cost, competition
- allocation, budget, forecast, roi, roas
- scale, strategy, revenue, expansion
Input Contract
Required:
- target_markets
- expansion_objective
- total_budget
- baseline_market_performance
Optional:
- localization_resources
- compliance_constraints_by_country
- logistics_constraints
- currency_risk_assumptions
Output Contract
- Market Attractiveness Matrix
- Channel Allocation by Market
- Expansion ROI Forecast
- Rollout Sequence and Dependencies
- Market Risk Alert List
Workflow
- Rank markets by cost, competition, and conversion potential.
- Assign channel roles per market maturity.
- Simulate budget scenarios for each rollout stage.
- Forecast ROI and payback by region.
- Output phased expansion plan with risk triggers.
Decision Rules
- If market CAC is high and data depth is low, start with discovery budget only.
- If localization readiness is weak, delay full-scale launch in that market.
- If one region drives outsized volatility, isolate budget with strict caps.
- If currency risk is elevated, widen ROI confidence intervals.
Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic
Platform behavior guidance:
- Use market-specific channel order; avoid global one-size plans.
- Match creative localization depth to market entry stage.
Constraints And Guardrails
- Do not compare markets without consistent attribution definitions.
- Keep regional assumptions explicit and revisable.
- Flag legal/policy differences per country before launch.
Failure Handling And Escalation
- If country-level data is sparse, output exploratory plan with validation milestones.
- If compliance blockers exist, mark blocked markets and reroute budget.
- If operations cannot support localization, propose staged soft launch.
Code Examples
Market Scoring Table
market: DE
cpc_index: 1.2
competition_score: 0.74
conversion_score: 0.63
priority: medium
Expansion Allocation (JSON)
{
"phase_1": {"US": 0.45, "UK": 0.30, "AU": 0.25},
"phase_2": {"DE": 0.20, "FR": 0.20, "JP": 0.10}
}
Examples
Example 1: Initial global rollout
Input:
- Launch in 3 English-speaking markets
Output focus:
- market ranking
- channel-by-market plan
- phase-1 risk controls
Example 2: Add APAC market
Input:
- Existing US/EU campaigns stable
- Wants APAC expansion
Output focus:
- market attractiveness score
- budget impact simulation
- localization requirements
Example 3: Global budget shock
Input:
- Budget cut by 25% mid-quarter
Output focus:
- market reprioritization
- protection strategy
- revised ROI forecast
Quality Checklist
- Required sections are complete and non-empty
- Trigger keywords include at least 3 registry terms
- Input and output contracts are operationally testable
- Workflow and decision rules are capability-specific
- Platform references are explicit and concrete
- At least 3 practical examples are included
安全使用建议
This skill is internally consistent and low-risk as provided: it only offers planning logic and examples and doesn't request credentials or install code. Before using it in production, consider: (1) if you want the agent to execute live operations (push budgets, query ad accounts), you'll need to provide platform API credentials — validate any future version that adds API calls; (2) review generated recommendations for compliance with country-specific ad policies and privacy rules (the skill notes to flag policy differences but cannot enforce legal compliance); (3) monitor for any later updates that add network calls or install steps, since those would change the risk profile.
功能分析
Type: OpenClaw Skill
Name: global-ads-helper
Version: 1.0.0
The skill bundle defines an AI agent skill for planning global paid advertising strategies. The `SKILL.md` content, which serves as the prompt injection surface, contains only instructions relevant to its stated purpose of market analysis, budget allocation, and ROI forecasting. There are no instructions for unauthorized data access, external command execution, persistence, or any other malicious or suspicious activities. All content is aligned with a legitimate business function.
能力评估
Purpose & Capability
Name/description (global ads planning across major ad platforms) align with the SKILL.md: it provides scoring, allocation, ROI forecasting and rollout guidance. The skill does not request platform API keys or unrelated capabilities, which is coherent for a strategy-only helper.
Instruction Scope
SKILL.md contains purely high-level workflows, decision rules, input/output contracts and examples. It does not instruct the agent to read local files, access environment variables, call external endpoints, or exfiltrate data beyond producing planning outputs.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be written to disk or downloaded, which is low risk and consistent with the described behavior.
Credentials
The skill requires no environment variables, credentials, or config paths. For a planning/strategy skill this is proportionate; it does not request unrelated secrets or broad access.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request permanent system presence or attempt to modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install global-ads-helper - 安装完成后,直接呼叫该 Skill 的名称或使用
/global-ads-helper触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Global-ads-helper v1.0.0 – Initial release
- Enables planning of global paid growth across Meta, Google, TikTok, YouTube, Amazon, and DSP/programmatic.
- Analyzes market-level cost and competition intensity by country.
- Designs cross-channel budget allocation and expansion strategy with ROI forecasting.
- Provides output including market attractiveness matrix, channel allocation, ROI forecast, rollout steps, and risk alerts.
- Adapts plan per market with tailored workflows, decision rules, and compliance guardrails.
- Includes practical examples and a detailed input/output contract for reliability.
元数据
常见问题
Global Ads Helper 是什么?
Plan global paid growth across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic by comparing country cost, co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 319 次。
如何安装 Global Ads Helper?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install global-ads-helper」即可一键安装,无需额外配置。
Global Ads Helper 是免费的吗?
是的,Global Ads Helper 完全免费(开源免费),可自由下载、安装和使用。
Global Ads Helper 支持哪些平台?
Global Ads Helper 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Global Ads Helper?
由 danyangliu(@danyangliu-sandwichlab)开发并维护,当前版本 v1.0.0。
推荐 Skills