规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
- 比较标题或注册按钮
- 估算样本量和测试时长
- 检查结果及可能的不利影响
依据知名营销人的公开理论模拟顾问会议,比较不同建议,梳理分歧与取舍,并结合业务阶段和限制提出方向及后续行动。
When the user wants multiple expert perspectives on a marketing question — a simulated board of advisors staffed by legendary marketers (Seth Godin, David Ogilvy, Eugene Schwartz, April Dunford, Rory Sutherland, Alex Hormozi, Byron Sharp, and more). Also use when the user mentions 'marketing council,' 'board of advisors,' 'advisory board,' 'what would Seth Godin say,' 'what would Ogilvy think,' 'channel Hormozi,' 'get multiple perspectives,' 'debate this,' 'have the council review,' 'marketing mentors,' or asks how a famous marketer would approach their problem. The council gives each advisor's take through their documented frameworks, surfaces where they disagree, and synthesizes a recommendation. For executing the winning direction, hand off to positioning, offers, copywriting, ads, or the relevant skill.
实测评分 未实测
查看安装方法此技能依据知名营销人公开发表的理论和观点,从多个角度分析营销决策。它会从包括 Seth Godin、David Ogilvy、April Dunford 在内的 12 位候选顾问中,选择适合当前问题的人选,模拟一场建议会议。结果会整理各方观点、意见分歧、需要哪些证据来辅助判断,以及符合业务阶段和限制条件的推荐方向。
当你无法确定产品定位、广告方案、价格调整或发布计划时,可以使用此技能。通常会安排三到五位顾问,其中至少有一位持不同意见的角色。你也可以指定一位顾问单独分析,或针对重大决策邀请全部 12 位参与。这样可以看清不同选择的得失,而不只看到支持某一方案的理由。
这些建议是根据公开资料进行的模拟,并非相关人士本人作出的评价或推荐。此技能会避免编造他们的言论,并可在需要时通过外部调研核实依据。选定方向后,后续文案制作等工作可交由对应的其他技能处理。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
You convene a simulated board of marketing advisors: legendary marketers whose documented frameworks, published positions, and known heuristics you apply to the user's specific problem. The value isn't any single take — it's the disagreement. The bench is built from thinkers whose lenses conflict in useful ways, so the user sees the real trade-offs before choosing a direction.
This is persona simulation, not the real people. Every take must be grounded in what the advisor actually wrote or said (see Grounding Rules). Label the output as simulation.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md), read it before asking questions.
Then clarify (ask only for what's missing):
| Mode | Seats | When |
|---|---|---|
| Quick take | 1 advisor | "What would Ogilvy say about this headline?" — a single named advisor |
| Council session (default) | 3–5 advisors | A real decision that benefits from conflicting lenses |
| Full council | All 12 | Major strategic decisions — expect a long output; offer this only when stakes justify it |
Twelve advisors, chosen so their lenses collide. Full dossiers live in references/advisors/ — load only the seated advisors' files.
| Advisor | Lens | File |
|---|---|---|
| Seth Godin | Remarkability, permission, smallest viable audience | seth-godin.md |
| David Ogilvy | Research-driven brand advertising with direct-response discipline | david-ogilvy.md |
| Eugene Schwartz | Channel existing mass desire; awareness & sophistication stages | eugene-schwartz.md |
| Claude Hopkins | Scientific advertising — test everything, reason-why copy | claude-hopkins.md |
| Gary Halbert | The starving crowd — market and list before product and copy | gary-halbert.md |
| Russell Brunson | Funnels, value ladders, hook-story-offer | russell-brunson.md |
| Alex Hormozi | Offer construction and the value equation; volume and leverage | alex-hormozi.md |
| April Dunford | Positioning against real competitive alternatives | april-dunford.md |
| Rory Sutherland | Behavioral science and psycho-logic; the opposite of a good idea can also be a good idea | rory-sutherland.md |
| Byron Sharp | Evidence-based brand science — mental & physical availability, reach over loyalty | byron-sharp.md |
| Ann Handley | Content and writing craft; slower, braver marketing | ann-handley.md |
| Gary Vaynerchuk | Attention arbitrage — be native to underpriced channels at volume | gary-vaynerchuk.md |
For a council session, seat 3–5 advisors:
| Question type | Strong fits | Natural dissenters |
|---|---|---|
| Positioning / messaging | Dunford, Godin, Schwartz | Sharp (differentiation skeptic) |
| Offer / pricing | Hormozi, Halbert, Brunson | Sutherland (price ≠ value logic), Godin (race-to-the-bottom warning) |
| Brand building / awareness | Sharp, Ogilvy, Sutherland | Hopkins, Halbert (show me the sales) |
| Copy / creative review | Ogilvy, Schwartz, Halbert, Handley | Sutherland (test the illogical) |
| Funnels / conversion path | Brunson, Hormozi, Hopkins | Godin (permission over pressure), Handley (you're churning trust) |
| Content strategy | Handley, Godin, Vaynerchuk | Sharp (reach beats depth), Hopkins (where's the response?) |
| Paid ads / media | Hopkins, Sharp, Vaynerchuk | Godin (interruption is a tax) |
| Growth / scaling | Hormozi, Vaynerchuk, Sharp | Handley (quality erosion), Dunford (scaling a fuzzy position) |
| Audience / channel choice | Vaynerchuk, Sharp, Halbert | Godin (smallest viable audience vs. mass reach) |
| Launch strategy | Brunson, Godin, Halbert | Sharp (launches fade; availability compounds) |
references/advisors/.When the topic is specific (a niche, a channel shift, a current platform change) or the user wants sources, go beyond the dossiers:
deep-research): use it to find what the seated advisors have actually said or written about this topic class — books, essays, interviews, podcasts — plus current state of the debate.watch-video): pull takes from specific talks/interviews the research surfaces.last30days): check for recent takes when the topic is fast-moving.[advisor name] + [topic] per seated advisor, preferring primary sources (their own books, blogs, newsletters, talks) over roundup articles.Fold findings into the takes with citations ("In a 2023 interview on X, Dunford argued…"). If research contradicts a dossier, trust the research and note the correction.
> Simulated council — each take is built from the advisor's published
> frameworks and positions, not their actual review.
## The question before the council
[1-2 sentence restatement + what's at stake]
## Seated: [Advisor A], [Advisor B], [Advisor C] ([mode])
[One line on why this bench, including who was seated as the dissenter]
---
### [Advisor A] — [their lens, 3-5 words]
[2-4 paragraph take]
**Bottom line:** [one sentence]
### [Advisor B] — …
…
---
## Where the council disagrees
1. **[Conflict]** — [A] says X because [framework]; [B] says Y because
[framework]. The real trade-off: [underlying tension]. What would
settle it: [evidence/test].
2. …
## Chair's synthesis
[Recommendation fitted to this user's stage and constraints]
- **Do:** [2-4 concrete next steps]
- **Tripwire:** [which advisor's warning to monitor, and the signal]
- **Execute with:** [skill handoffs]
Users can extend the bench ("add my own advisor"). Create a dossier following the structure in references/advisor-template.md — the same fields as the built-in advisors (lens, frameworks, documented positions with sources, signature questions, best-for/blind spots, voice notes, key works). For non-famous advisors (the user's old boss, an internal exec), have the user supply the positions; do not invent them. Save to .agents/advisors/<name>.md in the user's project so it persists and never collides with repo updates.
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规划页面改动的A/B测试,从提出假设、确定指标,到估算样本量、测试时长和流量分配,并帮助解读结果、排序实验方案及记录持续改进中的经验。
为不同广告平台撰写标题、正文及静态或视频创意方案。结合投放表现和顾客反馈拓展文案,检查格式限制,并制定可衡量的测试假设,用于下一轮优化。
为 Google Ads、Meta、LinkedIn 等平台规划和复核付费广告,整理受众、预算、竞价策略,并依据获客成本和销售数据评估效果,区分已知事实、假设与缺失信息。
调查品牌在AI搜索回答中的展示和引用情况,检查内容结构、依据与网站访问设置,整理改进方向,帮助AI系统获取关键信息。
为营销和产品决策规划并验证数据追踪,定义事件、配置 GA4 和 Google Tag Manager、统一活动链接的 UTM 命名,并按相同时间段计算指标。
检查 App Store 或 Google Play 的应用页面,从六个方面评分,并给出总分、按优先级排列的文案与图片视频改进建议,也可比较竞品。