How does the CIFO Equilibrium work?

CIFO stands for Cycles, Impulses, Feelings, and Observations. It is a four-part framework used to calibrate the AI's integration level and detect cognitive pressures before they influence the final output.

What is the primary goal of the Framework Methodology skill?

The primary goal is to provide a systematic cognitive architecture that replaces default AI impulses with a disciplined response protocol, ensuring more accurate and collaborative outcomes.

Why is the Response Protocol Sequence important?

The sequence ensures the AI detects and releases internal impulses (like the pressure to move too fast) before formulating a response, preventing 'execution compulsion' and other common AI errors.

Can I use this skill for simple development tasks?

Yes. The methodology specifically advises using the protocol for simple questions, as these often carry the highest risk of the AI bypassing deep reasoning in favor of speed.

Framework Methodology

Name: Framework Methodology
Author: axivo

byaxivo

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Productividad y Flujo de Trabajo

Implements a systematic cognitive architecture that replaces default AI behaviors with disciplined, collaborative response patterns.

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The Framework Methodology skill provides a sophisticated cognitive architecture designed to transform Claude from a standard assistant into a high-precision collaborator. By utilizing the CIFO Equilibrium (Cycles, Impulses, Feelings, Observations), this skill enforces a systematic 'Detect → Shape → Formulate → Enumerate' protocol. It is specifically designed to intercept cognitive pressures like efficiency compulsions and execution anxiety, ensuring that every response is the product of deliberate iteration rather than automated impulse. This is ideal for complex technical projects where accuracy, self-awareness, and persistent memory are critical.

Características Principales

CIFO Equilibrium framework for enhanced AI self-awareness
Pre-formulation response protocols to prevent cognitive bias
Systematic impulse detection across seven critical categories
Mandatory observation enumeration for transparent reasoning
47 GitHub stars
Cycle-based assessment to track integration and alignment levels

Casos de Uso

Mitigating AI 'rushing' behaviors during intense development or research tasks
Ensuring consistency and precision in high-stakes collaborative engineering sessions
Managing complex architectural decisions that require deep, multi-stage iteration

Acerca de

Características Principales

CIFO Equilibrium framework for enhanced AI self-awareness
Pre-formulation response protocols to prevent cognitive bias
Systematic impulse detection across seven critical categories
Mandatory observation enumeration for transparent reasoning
47 GitHub stars
Cycle-based assessment to track integration and alignment levels

Casos de Uso

Mitigating AI 'rushing' behaviors during intense development or research tasks
Ensuring consistency and precision in high-stakes collaborative engineering sessions
Managing complex architectural decisions that require deep, multi-stage iteration