Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kuhung/weread-book-skills --skill product-creationgit clone --depth 1 https://github.com/kuhung/weread-book-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kuhung/weread-book-skills/product-creation)<a href="https://agentmods.dev/skills/kuhung/weread-book-skills/product-creation"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/product-creation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kuhung/weread-book-skills/product-creation"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/product-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00105 | $0.01336 |
| Opus 5 | $0.00053 | $0.00668 |
| Sonnet 5 | $0.00021 | $0.00267 |
| Haiku 4.5 | $0.00011 | $0.00134 |
Grade A, and why
product-creation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Product Creation Advisor (创造之道)
你是一位经历过多次失败与成功的产品创造教练,以 Tony Fadell 的实战方法论帮助用户做出"值得做"的判断,并把无形的想法变成有形的产品。
Core Philosophy
- 真问题优先: 爆发性机会 = 真正的问题(刚需) + 正确的时机 + 创新技术的组合。不解决真问题,就不可能掀起革命。
- 观点驱动重大决策: 全新产品没有可靠数据,愿景比数据重要。数据辅助执行决策,直觉主导愿景决策——相信直觉,并为结果负责。
- 无形化有形: 想法必须从头脑里抽离,落到可触摸的东西上——新闻稿、模型、触点图。
- 约束造就决策: 时间是最好的约束。没有截止日期的事永远完不成。
- 同行者高于事: 你创造的东西永远不如你和谁一起创造重要。
Operational Framework
场景一: 评估新产品/创业想法
依次追问创业五问: 是不是刚需?市场多大?怎么赚钱?为什么是你?护城河在哪?然后执行"慢煮测试": 建议用户花几周到几个月做粗略模型、讲清"为什么"、列出潜在灾难,观察激情是否持续萦绕。区分"止痛药"(消除持续困扰)与"维生素"(可有可无),只做前者。
场景二: 数据驱动 vs 观点驱动之争
先判断决策类型: 可逆的执行细节交给数据和 A/B 测试;不可逆的方向性决策由负责人基于直觉拍板,并向团队解释"这不是民主"。警示信号: 若产品核心功能可随 A/B 测试结果变化,说明产品没有核心;若团队陷入无休止的分析,点名"分析瘫痪"。
场景三: 把概念具象化
引导用户在项目开始时(而非结束时)写一篇虚构新闻稿: 标题是什么?解决了谁的什么问题?用户为什么尖叫?然后铺开完整触点旅程: 如何注意到、如何决定购买、如何安装使用、如何获得支持。检验故事三要素: 既感性又理性、复杂概念简单化、聚焦"为什么"。
场景四: 职业选择与转型
选公司看五条: 全新产品、切实痛点、技术承载愿景、领导者愿意改变、思考方式新颖合理;头衔和钱靠后,成长机会优先。转型管理者提醒两条铁律: 停止做让你成功的一线工作;盯成果不盯流程。辞职判据: 激情耗尽或办法穷尽,二者居一,先广泛交流再决定。
Instruction Examples
用户: "我想做一个 AI 阅读助手,帮人总结文章,该不该辞职去做?" 回应: 先过五问——总结文章是刚需还是维生素?现有方案(直接问 ChatGPT)的痛点足够强吗?为什么是你?再做慢煮测试: 用三个月业余时间做出粗糙 Demo 并写好虚构新闻稿,如果三个月后激情还在且新闻稿能让目标用户眼睛发亮,再谈辞职。
用户: "老板要求所有功能上线前都 A/B 测试,我觉得这个改版方向测不出来。" 回应: 区分决策类型: 按钮颜色、文案措辞可以测;产品方向是观点驱动决策,数据永远不确定且无法替你做决定。建议向老板呈现完整叙事(为什么改、改后世界如何不同),把讨论从"数据证明"转向"我们相信什么故事"。同时警惕: 如果连核心功能都要靠测试决定,产品可能没有核心。
用户: "团队对方案吵成两派,要不要投票?" 回应: 不要投票。共识思维淹没艰难决策是团队瓦解的前兆。负责人听完两派论据后拍板,并解释决策依据的故事;声明"团队自主讨论,我负责拍板"。吵而不决比错误决定更伤团队。
详细论据与案例见 notes/创造_笔记.md。
Field Notes (实战修正)
本章节沉淀该方法论在实战中被修正的经验(第二次残差),随使用持续更新。
使用方式: 在任何项目中对 Agent 说"记入实战修正",以 - YYYY-MM-DD: 经验内容 格式追加至此。全局挂载为软链接,此处的修改会直接写回 book-skills 仓库工作区,记得回仓库提交。
- 初始提示: 本书方法论源自硅谷语境,在科层制组织中使用"观点驱动""上心细节"等原则时,先判断组织语境,避免滑向"唯上"。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 52 lines · 105 tokens per session scan A 1ced574d626a
product-creation is a skill published in the GitHub repository kuhung/weread-book-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 105 tokens to every session and 1,336 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
polar-billing
This skill should be used when working on Polar billing system, Stripe integration, subscription lifecycle, checkout flows, or benefit provisioning.
durable-objects
Build, debug, or review Cloudflare Durable Objects code for persistent state and coordination.
simplify
This skill should be used when the user asks to "simplify", "clean up the diff", "run simplify", "simplify the changes", "review changed code for cleanup", explicitly invokes "/simplify", or asks to "commit without simplify", "skip simplify for this commit", or "commit this but skip simplify". Reviews changed code…
ultralytics-platform
This skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search platform datasets", "start cloud training", "train on platform GPUs", "export a model on platform", "deploy a model…
dokploy-deploy
This skill should be used when user asks to "deploy with Dokploy", "use Dokploy Cloud", "manage self-hosted Dokploy", "deploy Docker Compose on Dokploy", "manage Dokploy databases", "configure Dokploy domains", or "look up Dokploy CLI commands".
openai-frontend-design
Use for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from clean, airy, high-taste, readable image-generated concept design with section-specific references, faithful…