agentleFS
AY-kkkAY-kkk/ad-gtm/skills/ad-discovery/SKILL.md

ad-discovery

Skill1 starsChanged 59 days agoMITView on GitHub

诊断品牌、代理商或素材团队的视频广告生产需求,筛选视频模型的客户场景与试点机会。用于模型销售、解决方案和产品 GTM 访谈;不凭行业标签虚构客户预算或采购意向。

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 1

    1. blacklanternsecurity/red-run★ 296same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository10 other files it gives its agents.

The file

Files
SKILL.md

客户诊断与场景选择

输入

客户类型、访谈记录、现有制作流程和可用数据。尚无客户材料时输出访谈提纲与待验证假设,不写成已确认客户事实。

方法

  1. 区分使用者、验收人、业务负责人、预算与采购决策者;识别谁从改进中受益、谁承担切换成本。
  2. 还原从 brief、素材、制作、修改到发布的流程。记录产量、周期、人工工时、成本、返工原因和资料来源。
  3. 找到具体瓶颈:如开头迭代慢、SKU 扩展成本高、素材授权不足或人物产品交互失败。区分模型能力、服务接入和组织流程问题。
  4. 筛选候选场景,逐项评价业务价值、频率、输入就绪度、可验收性、接入成本与失败代价。使用证据说明优先级,不用未经校准的总分替代判断。
  5. 选择最小可验证场景,明确可用素材、当前基线、目标、验收人、资源和决策时间。关键条件未知时列出下一次访谈要确认的事项。

输出

客户问题卡、角色关系、流程瓶颈、候选场景对照表,以及优先场景的一页试点摘要。

摘要字段:account_alias / opportunity_id / 场景 / 基线来源 / 价值假设 / 输入条件 / 验收人 / 预算状态 / 决策节点 / 未知项。

完成标准与交接

事实、推断和待验证假设清晰分开;试点目标能用实际任务评估。可交给 ad-poc 设计对照试点,也可单独交付访谈与机会诊断。

示例

“团队每周都要重做商品开头”只证明工作存在;是否值得采购,还需当前工时、合格率、授权素材与决策角色的依据。

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.