OpenClaw

ads-qa-assistant

Answer ads operations questions quickly for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads workflows.

danyangliu-sandwichlab0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

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/ads-qa-assistant

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。

查看来源 ↗使用指南

技能说明

Ads Q&A Assistant

Purpose

Provide fast, reliable answers for common ads, growth, and performance questions.

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: rapid Q&A, playbook lookup, issue triage

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:

Intent Summary (goal, KPI, scope)
Findings (key observations and assumptions)
Action Plan (prioritized next steps)
Risks and Guardrails (what can break and what to monitor)
Handoff Payload (structured fields for downstream skills)

Workflow

Normalize request and confirm objective.
Validate available inputs and list missing critical data.
Analyze according to this skill focus: rapid Q&A, playbook lookup, issue triage.
Generate prioritized actions tied to KPI impact.
Add platform-specific notes and constraints.
Emit a compact handoff payload for execution.

Decision Rules

If KPI is missing, infer likely primary KPI from goal and mark assumption explicitly.
If data quality is low, return conservati...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/danyangliu-sandwichlab/ads-qa-assistant
Version: —
Commit: 051ee684c2ddef0bfd22c4fa195a8f661fbf9677
分类来源: rules
状态: active
可见性: public

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。

来源内容

SKILL.md

# Ads Q&A Assistant

## Purpose
Provide fast, reliable answers for common ads, growth, and performance questions.

## 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: rapid Q&A, playbook lookup, issue triage

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: rapid Q&A, playbook lookup, issue triage.
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 data quality is low, return conservati...

搜索