OpenClaw

budget-bidding-optimizer

Optimize budget pacing and bid strategy for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic auctions.

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/budget-bidding-optimizer

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 Bid Optimizer

Purpose

Core mission:

bid logic, pacing guardrails, allocation optimization

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

When To Trigger

Use this skill when the user asks for:

ad execution guidance tied to business outcomes
growth decisions involving revenue, roas, cpa, or budget efficiency
platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic
this specific capability: bid logic, pacing guardrails, allocation optimization

High-signal keywords:

ads, advertising, campaign, growth, revenue, profit
roas, cpa, roi, budget, bidding, traffic, conversion, funnel
meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

objective: growth target and KPI priority
budget_frame: test budget and scale budget
channel_scope: channels to include

Optional:

audience_segments
creative_inventory
seasonality_window
policy_constraints

Output Contract

Strategy Snapshot
Channel Role Definition
Budget and Bidding Plan
Test Matrix
Scale and Kill Rules

Workflow

Define objective hierarchy (primary and secondary KPI).
Assign channel roles by funnel stage.
Allocate budget by expected signal and risk.
Design test cells and learning windows.
Set scale, hold, and stop rules.

Decision Rules

If KPI conflict exists, prioritize revenue efficiency over volume.
If channel evidence is weak, allocate minimum test budget first.
If audience is broad, start with modular creatives and layered targeting.

Platform Notes

Primary scope:

Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic

Platform behavior guidance:

Keep recommendations channel-aware; do not collapse all channels into one generic plan.
For Meta and TikTok Ads, prioritize creative testing cadence.
For Google Ads and Am...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/danyangliu-sandwichlab/budget-bidding-optimizer
Version: —
Commit: 314853e8cd0fa7d4fbd56b5df55d7a284efbcaaf
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 Bid Optimizer

## Purpose
Core mission:
- bid logic, pacing guardrails, allocation optimization

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

## When To Trigger
Use this skill when the user asks for:
- ad execution guidance tied to business outcomes
- growth decisions involving revenue, roas, cpa, or budget efficiency
- platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic
- this specific capability: bid logic, pacing guardrails, allocation optimization

High-signal keywords:
- ads, advertising, campaign, growth, revenue, profit
- roas, cpa, roi, budget, bidding, traffic, conversion, funnel
- meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

## Input Contract
Required:
- objective: growth target and KPI priority
- budget_frame: test budget and scale budget
- channel_scope: channels to include

Optional:
- audience_segments
- creative_inventory
- seasonality_window
- policy_constraints

## Output Contract
1. Strategy Snapshot
2. Channel Role Definition
3. Budget and Bidding Plan
4. Test Matrix
5. Scale and Kill Rules

## Workflow
1. Define objective hierarchy (primary and secondary KPI).
2. Assign channel roles by funnel stage.
3. Allocate budget by expected signal and risk.
4. Design test cells and learning windows.
5. Set scale, hold, and stop rules.

## Decision Rules
- If KPI conflict exists, prioritize revenue efficiency over volume.
- If channel evidence is weak, allocate minimum test budget first.
- If audience is broad, start with modular creatives and layered targeting.

## Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic

Platform behavior guidance:
- Keep recommendations channel-aware; do not collapse all channels into one generic plan.
- For Meta and TikTok Ads, prioritize creative testing cadence.
- For Google Ads and Am...

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