Agent Skills › gooseworks-ai/goose-skills › plan-campaign-goal-chain

plan-campaign-goal-chain

GitHub

评估营销目标在给定预算下的可行性,通过填充经济模型、计算增量CAC并与历史对比,检查库存与产能限制。若目标不可达,则生成重新谈判方案,确保假设有据可查。

skills/marketing/plan-campaign-goal-chain/SKILL.md gooseworks-ai/goose-skills

触发场景

验证营销目标的预算可达性 计算基于历史数据的客户获取成本 检查目标是否超出库存或产能限制 生成目标调整建议

安装

npx skills add gooseworks-ai/goose-skills --skill plan-campaign-goal-chain -g -y
更多选项

非标准路径

npx skills add https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/plan-campaign-goal-chain -g -y

不安装直接使用

npx skills use gooseworks-ai/goose-skills@plan-campaign-goal-chain

指定 Agent (Claude Code)

npx skills add gooseworks-ai/goose-skills --skill plan-campaign-goal-chain -a claude-code -g -y

安装 repo 全部 skill

npx skills add gooseworks-ai/goose-skills --all -g -y

预览 repo 内 skill

npx skills add gooseworks-ai/goose-skills --list

SKILL.md

Frontmatter
{
    "name": "plan-campaign-goal-chain",
    "version": "0.1.2",
    "description": "Checks whether a stated goal is reachable on a given budget: fills an economics box with a source on every number, subtracts the baseline, works out the implied cost per customer against history or labelled base rates, and flags when the goal needs renegotiating. Use alone when you already have the goal (metric, number, date), budget, order value, margin and baseline; otherwise run plan-campaign."
}

Goal chain and economics (atom)

Load: ../plan-campaign/references/unit-economics.md, ../plan-campaign/references/company-types.md (the brand's type).

Inputs: the goal (metric, number, date) as the marketer stated it; budget; AOV / ARPA / first-job value; margin or contribution inputs; repeat behaviour if shown; baseline for the same period (marketer or past reports); conversion rates from the brand's history (learnings, past performance reads) or labelled base rates; stock or capacity.

Do — part 1 (step 2):

  1. Fill the economics box. Every line gets a source: own history · marketer · base rate (rule of thumb) · assumption. Unknown margin → a labelled assumption with "confirm margin" first in What we couldn't check (asked only when the plan turns on it).
  2. Baseline → incremental target (never credit the campaign for the baseline); implied CAC = budget ÷ incremental target vs history or labelled base rates; stock or capacity vs the goal. Pre-revenue: no allowable CAC — record the marketer's provisional cap. Do — part 2 (step 5, after the channels and split exist):
  3. Break the incremental target into per-leg targets with the chain that produces each (list × conversion; spend ÷ CPA; codes from creators), each with a "readable by" date.
  4. Run conservative / expected / optimistic using the low / middle / high end of each assumption.
  5. Check the forecast against stock (days of cover, inbound) or capacity (open slots).
  6. If the expected scenario misses: write the renegotiation case (gap in numbers; what more budget, more time, a smaller goal or a different goal metric each buys; one recommendation). Return it to the playbook to show the marketer before planning further.

Output: the plan's ### Goal chain, ### Economics, ### If the goal needs changing sections, and the assumptions list.

Never: invent the goal, a margin or a conversion rate and present it as the brand's; pick the renegotiation lever for the marketer.

版本历史

  • 1add09b 当前 2026-11-02 21:51

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元信息

文件数
0
版本
1add09b
Hash
d34fae42
收录时间
2026-11-02 21:51

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