writing-prds by refoundai/lenny-skills
npx skills add https://github.com/refoundai/lenny-skills --skill writing-prds帮助用户运用 11 位产品负责人的框架与洞见,撰写有效的产品需求文档。
当用户寻求关于产品需求文档的帮助时:
Maggie Crowley:“最重要的部分是开头——背景和上下文是什么?问题是什么,为什么重要,为什么现在重要?”在讨论解决方案之前,让团队聚焦于“为什么”和紧迫性。
Bill Carr:“每当我们构思新产品时,我们都会从撰写一份面向客户的新闻稿开始。这个想法最好能跃然纸上。”使用新闻稿,以事实为依据、数据丰富的语言来描述客户、问题和解决方案。
Aparna Chennapragada:“如果你不通过原型设计和构建来了解你想要构建什么,那你就做错了。提示词集就是新的产品需求文档。”对于 AI 功能,应将功能性原型和提示词集作为核心需求包含在内。
Hamel Husain & Shreya Shankar:“这是产品需求文档最纯粹的意义——这个评估标准明确告诉你它应该是什么样子,并且是自动、持续运行的。”将产品需求转化为 AI 产品的可执行评估方案。
Eric Simons:“我们倾向于保持它们相当轻量。我喜欢提供最少量的背景信息,以确保每个人都在同一页面上,并且关键成果在我们达成目标时会出现。”专注于关键成果,而不是开发者会忽略的详尽细节。
Vikrama Dhiman:“你的产品需求文档质量够好吗?你写的草案会发给客服团队、营销团队吗?你必须通过你制作的文档产生影响力。”高质量的产品需求文档体现了专业素养,并能大规模地创造清晰度。
Claire Vo:“我曾使用 ChatGPT 为这个技术性很强的产品构思了一份非常实用的产品需求文档规范。”使用 AI 来构建基础框架,如用户故事和范围外事项,然后专注于高层战略和叙述。
Guillermo Rauch:“产品管理团队现在实际上正在构建产品。我们已经在 v0 版本中规划好了,可以把它看作一个动态的产品需求文档。至于细节程度——我们都在说‘直接发布吧’。”交互式、动态的原型可以减少歧义并加快审批速度。
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关于 11 位嘉宾的全部 14 条洞见,请参阅 references/guest-insights.md
每周安装量
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首次出现
Jan 29, 2026
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Help the user write effective product requirements documents using frameworks and insights from 11 product leaders.
When the user asks for help with PRDs:
Maggie Crowley: "The most important section is the first part - what is the background and context? What is the problem, why does it matter, and why does it matter now?" Center the team on the 'why' and the urgency before discussing solutions.
Bill Carr: "Whenever we're devising a new product, we start by writing a press release describing it in a way that speaks to the customer. The idea better jump off the page." Use the PR to describe customer, problem, and solution in factual, data-rich language.
Aparna Chennapragada: "If you're not prototyping and building to see what you want to build, you're doing it wrong. Prompt sets are the new PRDs." For AI features, include functional prototypes and prompt sets as core requirements.
Hamel Husain & Shreya Shankar: "This is the purest sense of what a product requirements document should be - this eval judge that's telling you exactly what it should be, and it's automatic and running constantly." Translate product requirements into executable evaluations for AI products.
Eric Simons: "We tend to keep them pretty light. I like to have the minimal amount of context that ensures everyone's on the same page and that key outcomes will be present when we get there." Focus on key outcomes rather than exhaustive details that developers ignore.
Vikrama Dhiman: "Is your PRD quality good enough? Are you writing drafts that go to care teams, marketing teams? You must have impact through the artifacts you work on." High-quality PRDs demonstrate professional craft and create clarity at scale.
Claire Vo: "I had used ChatGPT to come up with a very serviceable PRD spec for this very technical product." Use AI to scaffold basics like user stories and out-of-scope items, then focus on high-level strategy and narrative.
Guillermo Rauch: "The product management team is now actually building the product. We've specced out in v0, think of it as a live PRD. The amount of detail - we're all saying 'just ship it.'" Interactive, animated prototypes reduce ambiguity and speed up approval.
Justify the timing of this investment against other opportunities. If you can't explain why this matters now versus later, the priority is questionable.
For all 14 insights from 11 guests, see references/guest-insights.md
Weekly Installs
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Repository
GitHub Stars
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First Seen
Jan 29, 2026
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Installed on
opencode963
codex921
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github-copilot833
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头脑风暴技能:AI协作设计流程,将创意转化为完整规范与实施计划
77,000 周安装