hummbl-framework

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

HUMMBL Base120 Mental Models Framework Skill

HUMMBL Base120思维模型框架Skill

Version: 1.0-beta (Definitive Reference)
Source: Google Drive (Created 10/16/2025)
Status: PRODUCTION – DO NOT MODIFY WITHOUT APPROVAL

**版本：**1.0-beta（权威参考版）
**来源：**Google Drive（创建于2025/10/16）
**状态：**生产环境版 – 未经批准请勿修改

Overview

概述

Comprehensive reference for the HUMMBL Base120 framework, featuring 120 validated mental models across 6 transformation categories with precise codes, official names, and one-line definitions.
Use this skill for: mental model reference, model selection, transformation analysis, MCP server development, agent training, and problem-solving.

HUMMBL Base120框架的综合参考文档，涵盖6类转换分类下的120个已验证思维模型，包含精准编码、官方名称及单行定义。
本Skill可用于：思维模型参考、模型选择、转换分析、MCP server开发、Agent训练及问题解决。

Base120 Architecture

Base120架构

6 Transformations × 20 Models Each = 120 Total Models
Coding: [TRANSFORMATION][NUMBER] (e.g., P1, IN15, CO7)
Validation Date: October 16, 2025
Quality Score: 9.2/10 average
Priority Levels: P1–P7 (empirically derived usage frequency)

6类转换 × 每类20个模型 = 总计120个模型
编码规则：[转换类型][编号]（例如：P1、IN15、CO7）
**验证日期：**2025年10月16日
**质量评分：**平均9.2/10
**优先级等级：**P1–P7（基于实际使用频率得出）

The 6 Transformations and Models

6类转换及对应模型

P — Perspective / Identity (P1–P20)

P — 视角/身份（P1–P20）

Transform: Frame and name what is. Anchor or shift point of view.

Code	Name	One-Line Definition
P1	First Principles Framing	Reduce complex problems to foundational truths that cannot be further simplified
P2	Stakeholder Mapping	Identify all parties with interest, influence, or impact in a system or decision
P3	Identity Stack	Recognize that individuals operate from multiple nested identities simultaneously
P4	Lens Shifting	Deliberately adopt different interpretive frameworks to reveal hidden aspects
P5	Empathy Mapping	Systematically capture what stakeholders see, think, feel, and do in their context
P6	Point-of-View Anchoring	Establish and maintain a consistent reference frame before analysis begins
P7	Perspective Switching	Rotate through multiple viewpoints to identify invariants and blind spots
P8	Narrative Framing	Structure information as causal stories with conflict, choice, and consequence
P9	Cultural Lens Shifting	Adjust communication and interpretation for different cultural contexts and norms
P10	Context Windowing	Define explicit boundaries in time, space, and scope for analysis or action
P11	Role Perspective-Taking	Temporarily inhabit specific roles to understand constraints and priorities
P12	Temporal Framing	Organize understanding across past causes, present states, and future implications
P13	Spatial Framing	Scale perspective from local details to global patterns and back
P14	Reference Class Framing	Select comparable situations to inform judgment and avoid uniqueness bias
P15	Assumption Surfacing	Explicitly identify and document beliefs underlying plans or models
P16	Identity-Context Reciprocity	Recognize how identities shape interpretations and contexts reinforce identities
P17	Frame Control & Reframing	Consciously select or reshape interpretive frames to enable new solutions
P18	Boundary Object Selection	Choose representations that bridge multiple perspectives while remaining meaningful
P19	Sensemaking Canvases	Deploy structured templates to systematically capture and organize observations
P20	Worldview Articulation	Make explicit the fundamental beliefs and values that drive interpretation and action

**转换目标：**界定并命名事物本质，锚定或转换视角。

编码	名称	单行定义
P1	第一性原理框架	将复杂问题拆解为无法进一步简化的基础事实
P2	利益相关者映射	识别系统或决策中所有存在利益、影响力或影响的相关方
P3	身份堆叠模型	认识到个体同时受多个嵌套身份的影响
P4	视角切换	刻意采用不同的解释框架以揭示隐藏的问题层面
P5	共情映射	系统性捕捉利益相关者在其场景中的所见、所思、所感及所为
P6	视角锚定	在分析开始前建立并维持一致的参考框架
P7	多视角轮换	切换多个视角以识别不变因素和认知盲区
P8	叙事框架	将信息构建为包含冲突、选择与结果的因果故事
P9	文化视角转换	针对不同文化背景和规范调整沟通与解读方式
P10	上下文界定	为分析或行动明确时间、空间及范围边界
P11	角色代入视角	暂时代入特定角色以理解其约束条件和优先级
P12	时间框架	从过去成因、当前状态及未来影响维度组织认知
P13	空间框架	在局部细节与全局模式之间切换视角尺度
P14	参考类别框架	选择可对比场景以辅助判断，避免独特性偏差
P15	假设显性化	明确识别并记录计划或模型背后的潜在信念
P16	身份-上下文交互	认识到身份如何塑造解读方式，以及上下文如何强化身份认知
P17	框架控制与重构	有意识地选择或重塑解释框架以催生新解决方案
P18	边界对象选择	选择能连接多视角且保持意义一致性的表达形式
P19	意义构建画布	运用结构化模板系统性捕捉并组织观察结果
P20	世界观明确化	明确阐述驱动解读与行动的核心信念与价值观

IN — Inversion (IN1–IN20)

IN — 反向思考（IN1–IN20）

Transform: Reverse assumptions. Examine opposites, edges, negations.

Code	Name	One-Line Definition
IN1	Subtractive Thinking	Improve systems by removing elements rather than adding complexity
IN2	Premortem Analysis	Assume failure has occurred and work backward to identify causes
IN3	Problem Reversal	Solve the inverse of the stated problem to reveal insights
IN4	Contra-Logic	Argue the opposite position to stress-test assumptions and expose weak reasoning
IN5	Negative Space Framing	Study what is absent rather than what is present
IN6	Inverse/Proof by Contradiction	Assume a claim is false, derive logical impossibility, thus proving the claim true
IN7	Boundary Testing	Explore extreme conditions to find system limits and breaking points
IN8	Contrapositive Reasoning	Use logical equivalence that "if A then B" equals "if not B then not A"
IN9	Backward Induction	Begin with desired end state and work backward to determine necessary steps
IN10	Red Teaming	Organize adversarial review to find vulnerabilities through simulated attack
IN11	Devil's Advocate Protocol	Assign explicit role to argue against group consensus or preferred option
IN12	Failure First Design	Begin planning by identifying all possible failure modes and designing to prevent them
IN13	Opportunity Cost Focus	Evaluate options by what must be forgone rather than what is gained
IN14	Second-Order Effects (Inverted)	Trace negative downstream consequences rather than immediate benefits
IN15	Constraint Reversal	Temporarily remove assumed constraints to explore alternative solution space
IN16	Inverse Optimization	Maximize worst outcomes to understand system vulnerabilities
IN17	Counterfactual Negation	Imagine outcomes if key decision had been reversed
IN18	Kill-Criteria & Stop Rules	Define conditions that trigger project termination before launch
IN19	Harm Minimization (Via Negativa)	Improve by removing harmful elements rather than adding beneficial ones
IN20	Antigoals & Anti-Patterns Catalog	Document failure modes to avoid rather than success patterns to emulate

**转换目标：**反转假设，审视对立面、边缘情况及否定项。

编码	名称	单行定义
IN1	减法思维	通过移除元素而非增加复杂度来优化系统
IN2	事前验尸分析	假设已发生失败，反向推导原因
IN3	问题反转	解决原问题的反向问题以获得洞见
IN4	反逻辑论证	论证对立立场以压力测试假设，暴露薄弱推理
IN5	负空间框架	研究缺失的事物而非已存在的事物
IN6	反证法	假设主张为假，推导逻辑矛盾从而证明主张为真
IN7	边界测试	探索极端条件以发现系统极限与临界点
IN8	逆否命题推理	运用“若A则B等价于若非B则非A”的逻辑等价性
IN9	反向归纳	从期望的最终状态出发，反向推导必要步骤
IN10	红队评估	组织对抗性审查，通过模拟攻击发现漏洞
IN11	魔鬼代言人机制	指定专人负责反驳群体共识或偏好选项
IN12	故障优先设计	从识别所有可能故障模式开始规划，设计预防方案
IN13	机会成本聚焦	通过评估必须放弃的选项而非获得的收益来权衡选择
IN14	二阶效应（反向）	追踪负面下游后果而非直接收益
IN15	约束反转	暂时移除假设约束以探索替代解决方案空间
IN16	反向优化	最大化最坏结果以理解系统漏洞
IN17	反事实否定	设想关键决策反转后的结果
IN18	终止标准与停止规则	定义项目启动前触发终止的条件
IN19	危害最小化（Via Negativa）	通过移除有害元素而非添加有益元素来优化
IN20	反目标与反模式目录	记录需避免的故障模式而非需效仿的成功模式

CO — Composition (CO1–CO20)

CO — 组合构建（CO1–CO20）

Transform: Combine parts into coherent wholes.

Code	Name	One-Line Definition
CO1	Synergy Principle	Design combinations where integrated value exceeds sum of parts
CO2	Chunking	Group related elements into meaningful units to reduce cognitive load
CO3	Functional Composition	Chain pure operations where output of one becomes input of next
CO4	Interdisciplinary Synthesis	Merge insights from distinct fields to generate novel solutions
CO5	Emergence	Recognize higher-order behavior arising from component interactions
CO6	Gestalt Integration	Perceive and leverage whole patterns rather than isolated components
CO7	Network Effects	Exploit increasing value as user base or connections grow
CO8	Layered Abstraction	Separate concerns into hierarchical levels with clear interfaces between them
CO9	Interface Contracts	Define explicit agreements about data structures and behavior between components
CO10	Pipeline Orchestration	Coordinate sequential stages with explicit handoffs and error handling
CO11	Pattern Composition (Tiling)	Combine repeating elements to construct complex structures efficiently
CO12	Modular Interoperability	Ensure independent components work together through standardized connections
CO13	Cross-Domain Analogy	Transfer solution patterns from one domain to solve problems in another
CO14	Platformization	Extract common capabilities into reusable infrastructure serving multiple use cases
CO15	Combinatorial Design	Systematically explore option combinations to find optimal configurations
CO16	System Integration Testing	Verify assembled components work correctly together, not just in isolation
CO17	Orchestration vs Choreography	Choose between centralized coordination or distributed peer-to-peer interaction
CO18	Knowledge Graphing	Represent information as interconnected entities and relationships
CO19	Multi-Modal Integration	Synthesize information from different sensory or data modalities
CO20	Holistic Integration	Unify disparate elements into coherent, seamless whole where boundaries dissolve

**转换目标：**将部分组合为连贯整体。

编码	名称	单行定义
CO1	协同效应原则	设计整合后价值超过各部分总和的组合方案
CO2	分块处理	将相关元素分组为有意义的单元以降低认知负荷
CO3	函数式组合	链式调用纯操作，将一个操作的输出作为下一个的输入
CO4	跨学科综合	融合不同领域的洞见以生成创新解决方案
CO5	涌现效应	识别由组件交互产生的高阶行为
CO6	格式塔整合	感知并利用整体模式而非孤立组件
CO7	网络效应	利用用户群体或连接增长带来的价值提升
CO8	分层抽象	将关注点分离为层级结构，层间有清晰接口
CO9	接口契约	定义组件间数据结构与行为的明确约定
CO10	流水线编排	协调有序阶段，明确交接与错误处理机制
CO11	模式组合（平铺）	组合重复元素以高效构建复杂结构
CO12	模块互操作性	确保独立组件通过标准化连接协同工作
CO13	跨领域类比	将一个领域的解决方案模式迁移到另一个领域解决问题
CO14	平台化	提取通用能力为可复用基础设施，服务多个用例
CO15	组合式设计	系统性探索选项组合以找到最优配置
CO16	系统集成测试	验证组装后的组件协同工作是否正常，而非仅验证孤立组件
CO17	编排与 choreography	在集中式协调与分布式点对点交互间选择合适模式
CO18	知识图谱构建	将信息表示为相互关联的实体与关系
CO19	多模态整合	综合不同感官或数据模态的信息
CO20	整体整合	将不同元素统一为连贯无缝的整体，消除边界

DE — Decomposition (DE1–DE20)

DE — 分解拆解（DE1–DE20）

Transform: Break complex systems into constituent parts.

Code	Name	One-Line Definition
DE1	Root Cause Analysis (5 Whys)	Iteratively ask why problems occur until fundamental cause emerges
DE2	Factorization	Separate multiplicative components to understand relative contribution of each factor
DE3	Modularization	Partition system into self-contained units with minimal interdependencies
DE4	Layered Breakdown	Decompose from system to subsystem to component progressively
DE5	Dimensional Reduction	Focus on most informative variables while discarding noise or redundancy
DE6	Taxonomy/Classification	Organize entities into hierarchical categories based on shared properties
DE7	Pareto Decomposition (80/20)	Identify vital few drivers producing most impact versus trivial many
DE8	Work Breakdown Structure	Hierarchically divide project into deliverable-oriented components with clear ownership
DE9	Signal Separation	Distinguish meaningful patterns from random variation or confounding factors
DE10	Abstraction Laddering	Move up and down conceptual hierarchy to find appropriate solution level
DE11	Scope Delimitation	Define precise boundaries of what is included versus excluded from consideration
DE12	Constraint Isolation	Identify specific limiting factor preventing performance improvement
DE13	Failure Mode Analysis (FMEA)	Enumerate potential failure points with severity, likelihood, and detectability ratings
DE14	Variable Control & Isolation	Hold factors constant to measure single variable's causal impact
DE15	Decision Tree Expansion	Map choices and their consequences as branching paths
DE16	Hypothesis Disaggregation	Break compound claim into testable sub-hypotheses
DE17	Orthogonalization	Ensure factors vary independently without correlation or interdependence
DE18	Scenario Decomposition	Partition future possibilities into discrete, mutually exclusive scenarios
DE19	Critical Path Unwinding	Trace longest sequence of dependent tasks determining minimum project duration
DE20	Partition-and-Conquer	Divide problem into independent subproblems solvable separately then combined

**转换目标：**将复杂系统拆分为组成部分。

编码	名称	单行定义
DE1	根本原因分析（5Why法）	反复追问问题成因直至找到根本原因
DE2	因子分解	分离乘法组件以理解各因子的相对贡献
DE3	模块化	将系统划分为独立单元，最小化相互依赖
DE4	分层拆解	从系统到子系统再到组件逐步分解
DE5	降维处理	聚焦最具信息量的变量，丢弃噪声或冗余信息
DE6	分类法/归类	根据共同属性将实体组织为层级类别
DE7	帕累托分解（80/20法则）	识别产生大部分影响的关键少数驱动因素，区别于次要多数
DE8	工作分解结构	将项目分层划分为面向交付的组件，明确所有权
DE9	信号分离	区分有意义的模式与随机波动或干扰因素
DE10	抽象层级切换	在概念层级间上下移动以找到合适的解决方案层面
DE11	范围界定	明确界定分析或行动的包含与排除边界
DE12	约束隔离	识别阻碍性能提升的特定限制因素
DE13	故障模式分析（FMEA）	列举潜在故障点，评估其严重性、可能性与可检测性
DE14	变量控制与隔离	保持其他因素不变，测量单个变量的因果影响
DE15	决策树展开	将选择及其后果映射为分支路径
DE16	假设拆分	将复合主张拆分为可测试的子假设
DE17	正交化	确保因素独立变化，无相关性或相互依赖
DE18	场景分解	将未来可能性划分为离散且互斥的场景
DE19	关键路径梳理	追踪决定最短项目周期的最长依赖任务序列
DE20	分而治之	将问题划分为独立子问题，分别解决后再合并结果

RE — Recursion (RE1–RE20)

RE — 递归迭代（RE1–RE20）

Transform: Apply operations iteratively, with outputs becoming inputs.

Code	Name	One-Line Definition
RE1	Recursive Improvement (Kaizen)	Continuously refine process through small, frequent enhancements
RE2	Feedback Loops	Create mechanisms where system outputs influence future inputs
RE3	Meta-Learning (Learn-to-Learn)	Improve the process of learning itself, not just domain knowledge
RE4	Nested Narratives	Structure information as stories within stories for depth and memorability
RE5	Fractal Reasoning	Recognize self-similar patterns repeating across different scales
RE6	Recursive Framing	Apply mental models to the process of selecting mental models
RE7	Self-Referential Logic	Create systems that monitor, measure, or modify themselves
RE8	Bootstrapping	Build capability using currently available resources, then use that to build more
RE9	Iterative Prototyping	Cycle rapidly through build-test-learn loops with increasing fidelity
RE10	Compounding Cycles	Design systems where gains reinforce future gains exponentially
RE11	Calibration Loops	Repeatedly check predictions against outcomes to improve forecasting accuracy
RE12	Bayesian Updating in Practice	Continuously revise beliefs as new evidence arrives, weighting by reliability
RE13	Gradient Descent Heuristic	Iteratively adjust toward improvement, even without perfect knowledge of optimal direction
RE14	Spiral Learning	Revisit concepts at increasing depth, building on previous understanding
RE15	Convergence-Divergence Cycling	Alternate between expanding possibilities and narrowing to decisions
RE16	Retrospective→Prospective Loop	Use systematic reflection on past to inform future planning
RE17	Versioning & Diff	Track changes over time and compare versions to understand evolution
RE18	Anti-Catastrophic Forgetting	Preserve critical knowledge while adapting to new information
RE19	Auto-Refactor	Systematically improve system structure without changing external behavior
RE20	Recursive Governance (Guardrails that Learn)	Establish rules that adapt based on their own effectiveness

**转换目标：**迭代应用操作，将输出作为输入。

编码	名称	单行定义
RE1	递归改进（Kaizen）	通过频繁的小改进持续优化流程
RE2	反馈循环	创建系统输出影响未来输入的机制
RE3	元学习（学会学习）	优化学习过程本身，而非仅提升领域知识
RE4	嵌套叙事	将信息组织为故事中的故事，提升深度与记忆点
RE5	分形推理	识别在不同尺度上重复的自相似模式
RE6	递归框架	将思维模型应用于思维模型的选择过程
RE7	自指逻辑	创建可监控、测量或修改自身的系统
RE8	自举法	利用现有资源构建能力，再用该能力构建更多资源
RE9	迭代原型设计	通过快速的构建-测试-学习循环提升保真度
RE10	复利循环	设计收益可强化未来收益的指数增长系统
RE11	校准循环	反复将预测与结果对比以提升预测准确性
RE12	贝叶斯更新实践	随着新证据出现持续修正信念，按可靠性加权
RE13	梯度下降启发法	即使不了解最优方向，也向改进方向迭代调整
RE14	螺旋式学习	以逐步加深的方式重温概念，基于已有理解构建新知识
RE15	收敛-发散循环	在拓展可能性与缩小决策范围间交替进行
RE16	回顾→前瞻循环	利用对过去的系统性反思指导未来规划
RE17	版本控制与差异对比	追踪随时间的变化，对比版本以理解演化过程
RE18	抗灾难性遗忘	在适应新信息的同时保留关键知识
RE19	自动重构	系统性优化系统结构而不改变外部行为
RE20	递归治理（可学习的护栏）	建立基于自身有效性自适应调整的规则

SY — Meta-Systems (SY1–SY20)

SY — 元系统（SY1–SY20）

Transform: Understand systems of systems, coordination, and emergent dynamics.

Code	Name	One-Line Definition
SY1	Leverage Points	Identify intervention points where small changes produce disproportionate effects
SY2	System Boundaries	Define what is inside versus outside system scope for analysis or design
SY3	Stocks & Flows	Distinguish accumulations from rates of change affecting them
SY4	Requisite Variety	Match control system's complexity to system being controlled
SY5	Systems Archetypes	Recognize recurring dynamic patterns across different domains
SY6	Feedback Structure Mapping	Diagram causal loops showing how variables influence each other
SY7	Path Dependence	Acknowledge how early decisions constrain future options through accumulated consequences
SY8	Homeostasis/Dynamic Equilibrium	Understand self-regulating mechanisms maintaining stable states despite disturbances
SY9	Phase Transitions & Tipping Points	Identify thresholds where gradual changes produce sudden qualitative shifts
SY10	Causal Loop Diagrams	Visualize circular cause-effect relationships with reinforcing and balancing dynamics
SY11	Governance Patterns	Design decision rights, accountability structures, and coordination mechanisms
SY12	Protocol/Interface Standards	Specify rules for interaction enabling coordination without central control
SY13	Incentive Architecture	Design reward and penalty structures aligning individual actions with system goals
SY14	Risk & Resilience Engineering	Build systems that fail gracefully and recover automatically
SY15	Multi-Scale Alignment	Ensure strategy, operations, and execution cohere across organizational levels
SY16	Ecosystem Strategy	Position organization within network of partners, competitors, and stakeholders
SY17	Policy Feedbacks	Anticipate how rules shape behavior, which creates conditions affecting future rules
SY18	Measurement & Telemetry	Instrument systems to capture state, changes, and anomalies for informed response
SY19	Meta-Model Selection	Choose appropriate framework or tool for specific problem characteristics
SY20	Systems-of-Systems Coordination	Manage interactions between independent systems with emergent behaviors

**转换目标：**理解系统的系统、协调机制与涌现动态。

编码	名称	单行定义
SY1	杠杆点	识别小变化可产生不成比例大影响的干预点
SY2	系统边界	定义分析或设计中系统的内部与外部范围
SY3	存量与流量	区分累积量与影响累积量的变化率
SY4	必要多样性	使控制系统的复杂度与被控制系统匹配
SY5	系统原型	识别跨领域重复出现的动态模式
SY6	反馈结构映射	绘制因果循环图，展示变量间的相互影响
SY7	路径依赖	承认早期决策如何通过累积后果限制未来选项
SY8	稳态/动态平衡	理解在干扰下维持稳定状态的自我调节机制
SY9	相变与临界点	识别渐进变化产生突然质变的阈值
SY10	因果循环图	可视化包含增强与平衡动态的循环因果关系
SY11	治理模式	设计决策权限、问责结构与协调机制
SY12	协议/接口标准	指定交互规则，实现无需集中控制的协调
SY13	激励架构	设计奖励与惩罚结构，使个体行为与系统目标对齐
SY14	风险与韧性工程	构建可优雅故障并自动恢复的系统
SY15	多尺度对齐	确保战略、运营与执行在组织各层级保持一致
SY16	生态系统战略	定位组织在合作伙伴、竞争对手与利益相关者网络中的角色
SY17	政策反馈	预测规则如何塑造行为，以及行为如何影响未来规则的制定条件
SY18	度量与遥测	为系统植入监控，捕获状态、变化与异常以支持明智决策
SY19	元模型选择	根据特定问题特征选择合适的框架或工具
SY20	系统的系统协调	管理具有涌现行为的独立系统间的交互

Model Selection Guidance

模型选择指南

Reference by code (e.g., "P1", "IN15").
NEVER substitute generic models ("OODA Loop", "Hanlon's Razor", etc.).
Always validate against this document.

Quick Selection Table Example

Problem Type	Transformation	Example Codes
Unclear problem definition	Perspective	P1, P2, P4
Conventional thinking stuck	Inversion	IN1, IN2, IN3
Assembling solutions	Composition	CO1, CO2, CO4
Complex system analysis	Decomposition	DE1, DE2, DE7
Feedback/issues	Recursion	RE1, RE2, RE3
Strategic challenge	Meta-Systems	SY1, SY2, SY4

通过编码引用（例如："P1"、"IN15"）。
禁止替换为通用模型（如"OODA循环"、"汉隆剃刀"等）。
始终对照本文档验证。

快速选择表示例

问题类型	转换类型	示例编码
问题定义模糊	视角转换	P1, P2, P4
陷入常规思维定式	反向思考	IN1, IN2, IN3
组装解决方案	组合构建	CO1, CO2, CO4
复杂系统分析	分解拆解	DE1, DE2, DE7
反馈/问题处理	递归迭代	RE1, RE2, RE3
战略挑战	元系统	SY1, SY2, SY4

Application Methodology

应用方法论

Apply transformation templates using verified codes and names.
Use one-line definitions for rapid agent coordination and reasoning.
Integrate Base120 reference in agent/server model selection.

使用已验证的编码与名称应用转换模板。
利用单行定义实现Agent间的快速协调与推理。
在Agent/服务器模型选择中集成Base120参考。

Validation Checklist

验证清单

Code matches pattern: [P|IN|CO|DE|RE|SY][1–20]
Name matches exactly as listed above
Model in correct transformation category
No generic substitutions (OODA, Hanlon's, Occam's, etc.)

编码符合模式：[P|IN|CO|DE|RE|SY][1–20]
名称与上文列出的完全一致
模型属于正确的转换分类
未使用通用模型替代（如OODA、汉隆剃刀、奥卡姆剃刀等）

Source & Provenance

来源与出处

Authoritative Document: Google Drive link
Owner: Reuben Bowlby rpbowlby@gmail.com
Validation Date: 2025-10-16
Repository: hummbl-dev/hummbl-claude-skills
Version: 1.0-beta (Definitive)

**权威文档：**Google Drive 链接
**所有者：**Reuben Bowlby rpbowlby@gmail.com
**验证日期：**2025-10-16
**代码库：**hummbl-dev/hummbl-claude-skills
**版本：**1.0-beta（权威版）