Afrexai Mcp Engineering
MCP Engineering — Complete Model Context Protocol System
Review ads and campaign setup for policy compliance on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install danyangliu-sandwichlab/ad-compliance-reviewer打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Detect compliance risks and provide concrete compliant rewrites before publishing.
Use this skill when the user asks to:
Typical trigger keywords:
Required:
Optional:
Return an execution-ready result with:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Ads Compliance Review ## Purpose Detect compliance risks and provide concrete compliant rewrites before publishing. ## When To Trigger Use this skill when the user asks to: - run ads or execute advertising campaigns with clear operational next steps - grow revenue or profit, improve roas, reduce cpa, or optimize budget and bidding - analyze market, traffic, conversion funnel, and campaign performance signals - apply this specific capability: policy screening, violation detection, compliant rewrite Typical trigger keywords: - ads, advertising, campaign, growth, strategy - revenue, profit, roi, roas, cpa - budget, bidding, traffic, conversion, funnel - meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp ## Input Contract Required: - business_goal: primary objective (sales, leads, traffic, awareness, retention) - scope: campaign range, market, timeline, and platform scope - context: URL, account context, historical performance, or request text Optional: - kpi_targets: target cpa, roas, revenue, roi, ltv, cvr - constraints: budget, policy, brand rules, timeline, resource limits - platform_preference: preferred channels and priority - baseline_metrics: existing benchmark metrics ## Output Contract Return an execution-ready result with: 1. Intent Summary (goal, KPI, scope) 2. Findings (key observations and assumptions) 3. Action Plan (prioritized next steps) 4. Risks and Guardrails (what can break and what to monitor) 5. Handoff Payload (structured fields for downstream skills) ## Workflow 1. Normalize request and confirm objective. 2. Validate available inputs and list missing critical data. 3. Analyze according to this skill focus: policy screening, violation detection, compliant rewrite. 4. Generate prioritized actions tied to KPI impact. 5. Add platform-specific notes and constraints. 6. Emit a compact handoff payload for execution. ## Decision Rules - If KPI is missing, infer likely primary KPI from goal and mark assumption explicitly. - If d...
MCP Engineering — Complete Model Context Protocol System
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