npx skills add https://github.com/askarzh/epistemator --skill doors应用单向门 / 双向门决策框架(类型 1 / 类型 2 决策),该框架由杰夫·贝佐斯在其 2015 年和 2016 年的亚马逊股东信中阐述。这是一个为追求速度而设计的元分析分类工具。其主要目的是通过确定在行动之前实际需要多少思考来防止决策瘫痪。
这不是一个像本工具包中其他四个那样的深度分析框架。它是一个预分析分类器:在你决定"应该决定什么?"之前,它先回答"我应该如何决定?"。高度分析型思考者常犯的错误是将所有决策都视为单向门,在可逆问题上部署繁重的认知机制。该框架对决策进行分类,设定所需的信息阈值,最重要的是,试图通过结构性方法将单向门转化为双向门,以保持前进势头。
该框架是来自商业领导层的实践工具,而非学术理论。然而,其核心见解——不确定性下的不可逆性会创造期权价值——严格植根于实物期权理论(Dixit & Pindyck,《不确定性下的投资》,1994)。词汇是贝佐斯的;经济学原理是坚实的。
对门进行分类 — 确定决策是可逆的(双向门 / 类型 2)还是不可逆的(单向门 / 类型 1)。可逆性是一个谱系,而非二元对立。从三个维度进行评估:
如果决策明显是双向门,应用 70% 规则并采取行动。如果明显是单向门,则进入第 2 步。如果模棱两可,则将其视为单向门并进入第 3 步(转化)。
评估信息状态 — 你掌握了多少相关信息?贝佐斯指出:"大多数决策可能应该在掌握了你希望拥有的信息的 70% 左右时做出。如果你等到 90%,在大多数情况下,你可能太慢了。" 对于类型 2 决策,70% 就足够了——立即行动并随时调整。对于类型 1 决策,确定具体缺少哪些信息以及这些信息是否可以获得。如果缺失的信息不会改变决策,那么你已经掌握了足够的信息。
转化门 — 如果决策是单向门,尝试使用以下策略将其降级为双向门:
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如果这些策略都不适用,则接受该决策为真正的单向门,并部署重量级分析(或升级到更深入的框架)。
按此确切章节顺序生成分析:
## 决策陈述
[被审查的决策,清晰具体地陈述]
## 门分类
**类型:** [单向门 / 双向门 / 模棱两可]
- 逆转成本:[低 / 中 / 高 — 附简要理由]
- 逆转速度:[快 / 慢 — 撤销需要多长时间?]
- 影响范围:[窄 / 广 — 影响谁和什么?]
[一句话总结:为什么这是单向门或双向门]
## 信息状态
- 估计信息水平:[X% — 你掌握了多少相关信息?]
- 关键未知因素:[具体缺少哪些信息?]
- 缺失的信息会改变决策吗?[是 / 否 / 可能 — 解释]
[如果是双向门且信息 ≥70%:"足以采取行动。继续并随时调整。"]
## 转化引擎
[如果是双向门:"已经是双向门。无需转化 — 继续到裁决。"]
[如果是单向门,尝试降级:]
- **试点:** [如何进行小规模测试?如果不适用,说明原因。]
- **解耦:** [哪些子决策现在可以安全执行?]
- **画门测试:** [如何在不构建解决方案的情况下测试假设?]
- **分阶段:** [如何构建为带有退出点的连续承诺?]
[如果没有策略适用:"真正的单向门。部署重量级分析或升级到 [推荐框架]。"]
## 分类裁决
[一个清晰的段落:立即执行步骤、部署转化策略,或升级到更深入的分析。如果升级,推荐使用哪个框架(用于真相主张的经院哲学、用于复杂系统的笛卡尔还原论、用于价值判断的皮尔西格、用于多视角评估的六顶思考帽)。]
**置信度:[0.0–1.0]** — [评级的简要理由]
当用户请求交互式分析时:
一个关于"我们是否应该将数据库从 PostgreSQL 迁移到 MongoDB?"的门转化简要示例:
门分类: 看似单向门——迁移成本高昂,影响所有服务,切换回来需要第二次迁移。逆转成本:高。逆转速度:慢(数月)。影响范围:广(每个读写数据的服务)。
转化尝试:
- 试点: 将一个非关键服务在 MongoDB 上运行 3 个月。测量性能、开发人员体验和运维负担,与 PostgreSQL 基线进行比较。
- 解耦: 决定评估 MongoDB 是双向门,即使决定迁移是单向门。将评估与承诺分开。
- 分阶段: 按服务分阶段迁移,而非一次性大迁移。每个阶段都有继续/停止检查点。第一阶段后,团队拥有真实数据来决定是否继续。
裁决: 成功转化。评估是双向门——立即进行试点。完整迁移仍然是单向门,但可以分阶段创建退出点。在获得试点数据之前,不要承诺完全迁移。
非常适合:
不太适合:
每周安装数
1
仓库
GitHub 星标数
2
首次出现
1 天前
安全审计
安装于
zencoder1
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Apply the One-Way / Two-Way Door decision framework (Type 1 / Type 2 decisions), articulated by Jeff Bezos in his 2015 and 2016 Amazon shareholder letters. This is a meta-analytical triage tool designed for velocity. Its primary purpose is to prevent decision paralysis by determining how much thinking is actually required before acting.
This is not a deep analytical framework like the other four in this toolkit. It is a pre-analytical classifier: it answers "how should I decide?" before you decide "what should I decide?" Highly analytical thinkers often make the mistake of treating all decisions as One-Way doors, deploying heavy cognitive machinery on reversible problems. This framework categorizes the decision, sets the required information threshold, and most importantly, attempts to structurally transform One-Way doors into Two-Way doors to maintain momentum.
The framework is a practitioner tool from business leadership, not academic theory. However, its core insight — that irreversibility under uncertainty creates option value — is rigorously grounded in real options theory (Dixit & Pindyck, Investment under Uncertainty , 1994). The vocabulary is Bezos's; the economics are sound.
Classify the Door — Determine whether the decision is reversible (Two-Way Door / Type 2) or irreversible (One-Way Door / Type 1). Reversibility is a spectrum, not a binary. Evaluate along three dimensions:
If the decision is clearly a Two-Way door, apply the 70% rule and act. If it is clearly a One-Way door, proceed to step 2. If ambiguous, treat it as a One-Way door and proceed to step 3 (transformation).
Assess Information State — How much of the relevant information do you have? Bezos prescribes: "Most decisions should probably be made with somewhere around 70% of the information you wish you had. If you wait for 90%, in most cases, you're probably being slow." For Type 2 decisions, 70% is sufficient — act now and course-correct. For Type 1 decisions, identify what specific information is missing and whether it is obtainable. If the missing information would not change the decision, you already have enough.
Transform the Door — If the decision is a One-Way door, attempt to downgrade it to a Two-Way door using these tactics:
If none of these tactics apply, accept the decision as a genuine One-Way door and deploy heavyweight analysis (or escalate to a deeper framework).
Produce the analysis in this exact section order:
## Decision Statement
[The decision under examination, stated clearly and specifically]
## Door Classification
**Type:** [One-Way Door / Two-Way Door / Ambiguous]
- Reversal cost: [Low / Medium / High — with brief justification]
- Reversal speed: [Fast / Slow — how long to undo?]
- Blast radius: [Narrow / Wide — who and what is affected?]
[One sentence summary: why this is a One-Way or Two-Way door]
## Information State
- Estimated information level: [X% — how much of the relevant information do you have?]
- Key unknowns: [What specific information is missing?]
- Would the missing information change the decision? [Yes / No / Maybe — explain]
[If Two-Way door with ≥70% information: "Sufficient for action. Proceed and course-correct."]
## Transformation Engine
[If Two-Way door: "Already a Two-Way door. No transformation needed — proceed to verdict."]
[If One-Way door, attempt to downgrade:]
- **Pilot:** [How to test at micro-scale? If not applicable, state why.]
- **Decouple:** [Which sub-decisions can be executed safely now?]
- **Painted Door:** [How to test the assumption without building the solution?]
- **Stage:** [How to structure as sequential commitments with exit points?]
[If no tactic applies: "Genuine One-Way door. Deploy heavyweight analysis or escalate to [recommended framework]."]
## Triage Verdict
[One clear paragraph: Step through now, deploy a transformation tactic, or escalate to deeper analysis. If escalating, recommend which framework (Scholastic for truth claims, Cartesian for complex systems, Pirsig for value judgments, Six Hats for multi-perspective evaluation).]
**Confidence: [0.0–1.0]** — [Brief justification for the rating]
When the user requests interactive analysis:
A brief example illustrating door transformation on "Should we migrate our database from PostgreSQL to MongoDB?":
Door Classification: Appears to be a One-Way door — migration is expensive, affects all services, and switching back requires a second migration. Reversal cost: High. Reversal speed: Slow (months). Blast radius: Wide (every service that reads/writes data).
Transformation attempt:
- Pilot: Run one non-critical service on MongoDB for 3 months. Measure performance, developer experience, and operational burden against PostgreSQL baseline.
- Decouple: The decision to evaluate MongoDB is a Two-Way door even if the decision to migrate is One-Way. Separate the evaluation from the commitment.
- Stage: Phase the migration by service rather than big-bang. Each phase has a go/no-go checkpoint. After phase 1, the team has real data to decide whether to continue.
Verdict: Successfully transformed. The evaluation is a Two-Way door — proceed immediately with a pilot. The full migration remains a One-Way door but can be staged to create exit points. Do not commit to full migration until pilot data is available.
Strong fit:
Weak fit:
Weekly Installs
1
Repository
GitHub Stars
2
First Seen
1 day ago
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