ads-budget

仓库创建 2026年7月6日最近提交 21 天前SkillHot 收录 21 天前

⬈ GitHub 仓库 ⬈ SKILL.md 原文件 ⬇ Raw 原始文件

▸ 精选理由

基于明确规则（70/20/10、3x Kill 等）给出可执行投放决策，适合投放团队日常优化。

▸ 风险提示

需接入广告平台支出数据，存在数据泄露与权限风险。

这个 Skill 做什么

评估跨平台预算分配与出价策略并提出扩缩与停投建议。

帮你审查各广告平台的预算分配与出价策略，评估花钱分布、能否放大或该砍掉哪些 campaign，并给出扩缩或停投建议。适合准备调整媒体预算、达成 ROAS 目标或诊断投放效率时使用。特别用一套实战化规则把决策量化，方便快速落地操作。

▸ 展开 SKILL.md 英文原文

Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, bidding strategy, ad spend, ROAS target, media budget, or scaling.

垂直行业预算分配竞价策略投放优化通用

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帮我安装这个 skill：https://raw.githubusercontent.com/incuca/incuca-ads/main/skills/ads-budget/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/incuca/incuca-ads/main/skills/ads-budget/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

<!-- Updated: 2026-04-13 | v1.5 -->

# Budget Allocation & Bidding Strategy

## Process

1. Collect budget and performance data across all active platforms
2. Read `ads/references/budget-allocation.md` for allocation framework
3. Read `ads/references/bidding-strategies.md` for strategy decision trees
4. Read `ads/references/benchmarks.md` for CPC/CPA benchmarks
5. Read `ads/references/scoring-system.md` for health score algorithm
6. **Validate**: confirm spend data covers ≥14 days before evaluating kill/scale decisions
7. Evaluate budget allocation, bidding strategy, and scaling readiness
8. **Validate**: verify kill list candidates have sufficient data (≥20 clicks or ≥$100 spend) before rec

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