3c-analysis
01Skill Claude CodeCodex
A strategy framework for examining a company, its competitors, and its customers together.
Big Genius Skills is a full-stack AI Agent skill system for entrepreneurs, covering the complete loop from business strategy to code implementation. It uses a four-layer architecture: L0 Commander: overall command, task scheduling and orchestration; L1 Thinking Layer: 356 thinking models (causal, systems, reverse, probabilistic, etc.); L2 Role Layer: 132 professional roles (architects, engineers, consultants, etc.); L3 Tool Layer: specialized tools for documents, data, browsers, and more. With 4
Skill Claude CodeCodex
A strategy framework for examining a company, its competitors, and its customers together.
Skill Claude CodeCodex
A reasoning method for comparing alternatives through controlled experiments, such as showing different product versions to separate user groups.
Skill Claude CodeCodex
A reasoning method for inferring the most likely cause from an observed result and the clues around it.
Skill Claude CodeCodex
A reasoning method for reducing complex problems to their essential patterns and designing reusable models, interfaces, or modules.
Skill Claude CodeCodex
A decision-making guide for checking whether taking action is genuinely better than waiting.
Skill Claude CodeCodex
A communication guide for understanding people carefully and responding in ways that build trust.
Skill Claude CodeCodex
A decision-making guide for checking whether feelings are shaping a risk or benefit judgment.
Skill Claude CodeCodex
A marketing framework that structures communication in four stages: attention, interest, desire, and action.
Skill Claude CodeCodex
A problem-solving guide for turning a complex task into precise, repeatable steps.
Skill Claude CodeCodex
A reasoning guide that uses similarities between familiar and unfamiliar situations to clarify a problem.
Skill Claude CodeCodex
A decision-making guide for checking whether an estimate is still too close to its starting point.
Skill Claude CodeCodex
A decision-making guide for spotting when an initial number influences later estimates or judgments.
Skill Claude CodeCodex
An architecture guide for connecting legacy or third-party systems without letting their flaws shape the core of a new application.
Skill Claude CodeCodex
A systems-thinking guide for designing systems that improve after facing stress, errors, change, or uncertainty.
Skill Claude CodeCodex
A decision-making framework for comparing choices where the possible gains and losses are uneven, especially when a small loss could lead to a much larger gain.
Skill Claude CodeCodex
A strategic thinking framework for competing when you have fewer resources or less power than an opponent.
Skill Claude CodeCodex
A framework for understanding how people and organisations compete for limited user attention in a crowded flow of information.
Skill Claude CodeCodex
A reasoning framework for checking whether an argument seems correct mainly because it comes from a respected expert or institution.
Skill Claude CodeCodex
A reasoning framework for checking whether a probability estimate is being driven by memorable examples, such as recent news or personal experiences.
Skill Claude CodeCodex
A reasoning framework for checking whether a decision is driven by the fact that many other people are making the same choice.
Skill Claude CodeCodex
A reasoning framework for combining details about one case with the general statistics for similar cases. Base rates are the usual frequencies or probabilities before case-specific evidence is considered.
Skill Claude CodeCodex
A reasoning framework for updating beliefs when new evidence appears, using the starting likelihood and the strength of the evidence.
Skill Claude CodeCodex
A reasoning framework for checking whether someone keeps believing a claim even after receiving reliable evidence against it.
Skill Claude CodeCodex
A machine-learning framework for understanding the balance between a model that is too simple and one that memorises its training data. Overfitting means poor performance on new data; underfitting means the model misses important patterns.
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