planning-under-uncertainty by refoundai/lenny-skills
npx skills add https://github.com/refoundai/lenny-skills --skill planning-under-uncertainty在情况不明朗时,帮助用户进行产品规划,运用来自 44 位产品负责人的适应性规划框架。
当用户寻求关于不确定性下规划的帮助时:
Amjad Masad:"保持敏捷,不被路线图束缚,能够立即说'哦,我们要马上切换优先级',这将变得极其重要。" 在像 AI 这样快速变化的环境中,要保持灵活性,以便在新能力出现时能够调整方向,而不是固守僵化的长期计划。
Upasna Gautam:"任何时候我们做规划,都会为日常发生的所有混乱预留缓冲。" 在混乱的环境中,规划必须包含明确的时间缓冲和应急计划,缓冲时间从几天到几个月不等,具体取决于范围。
Shaun Clowes:"数据更像是指南针,而不是 GPS。如果你把数据看作是给你答案的方式,那你总是错的。" 使用数据来验证或否定直觉,而不是等待数据明确告诉你该做什么。
Ramesh Johari:"实验在历史上从来不是关于赢家和输家……实验总是以假设为驱动。它关乎的是,你学到了什么?" 健康的实验文化重视从"失败"的风险赌注中学习,胜过安全的、渐进式的"胜利"。
Nikita Bier:"开发一个可复现的测试流程,这实际上比任何东西都更能影响你成功的概率。" 在不确定的市场中取得成功,取决于测试流程的质量和速度,而非最初的想法。
Alex Hardimen:"需要一种令人难以置信的谦逊,才能真正理解并首先诊断平台上实际发生了什么。" 度过危机需要"战时"的谦逊,以便在尝试解决方案之前准确诊断问题。
Eric Ries:"给自己一个固定的时间段来采取一些决定性行动,看看感觉是否更好。" 在计划中建立检查点,根据你学到的东西重新评估,而不仅仅是日历日期。
Claire Hughes Johnson:"第一类,第二类决策。它影响大吗?它是不可逆的吗?不是吗?" 在单向门决策上花更多时间,在以后可以调整的可逆决策上快速行动。
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
要查看来自 44 位嘉宾的全部 52 条见解,请参阅 references/guest-insights.md
每周安装次数
706
代码仓库
GitHub 星标数
546
首次出现
Jan 29, 2026
安全审计
安装于
opencode580
codex554
gemini-cli552
claude-code515
cursor513
github-copilot501
Help the user navigate product planning when the future is unclear using adaptive planning frameworks from 44 product leaders.
When the user asks for help with planning under uncertainty:
Amjad Masad: "Being agile, not being stuck with roadmaps, being able to just say, oh, we're just going to switch priorities right away, is going to be super important." In rapidly changing environments like AI, maintain flexibility to pivot when new capabilities emerge rather than committing to rigid long-term plans.
Upasna Gautam: "Any time we're planning we build in buffers for all of that chaos that's happening on a daily basis." In chaotic environments, planning must include explicit time buffers and contingency plans ranging from days to months depending on scope.
Shaun Clowes: "Data is more like a compass than a GPS. If you look at data as a way of giving you the answer, you're always wrong." Use data to validate or invalidate intuition rather than waiting for it to tell you exactly what to do.
Ramesh Johari: "Experimentation was never historically in science about winners and losers... Experimentation is always very hypothesis driven. It's about, what are you learning?" A healthy experimentation culture values learning from "failed" risky bets more than safe, incremental "wins."
Nikita Bier: "Develop a reproducible testing process, and that will actually influence the probability of your success more than anything." Success in uncertain markets is driven by the quality and speed of the testing process rather than the initial idea.
Alex Hardimen: "There's this incredible humility that was needed to really understand and first diagnose what was actually happening on the platform." Managing through a crisis requires "wartime" humility to accurately diagnose problems before attempting solutions.
Eric Ries: "Give yourself a fixed period of time to take some decisive action and see if it feels better." Build checkpoints into plans where you'll reassess based on what you've learned, not just calendar dates.
Claire Hughes Johnson: "Type one, type two decisions. Is it high impact? Is it irreversible? Is it not?" Spend more time on one-way doors and move quickly on reversible decisions that can be adjusted later.
For all 52 insights from 44 guests, see references/guest-insights.md
Weekly Installs
706
Repository
GitHub Stars
546
First Seen
Jan 29, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
opencode580
codex554
gemini-cli552
claude-code515
cursor513
github-copilot501
AI 代码实施计划编写技能 | 自动化开发任务分解与 TDD 流程规划工具
40,200 周安装