What is GlobalMOO optimization?

GlobalMOO stands for Global Multi-Objective Optimization; it runs iterative tests to find the 'Pareto-optimal' configuration for your prompts, balancing multiple goals like accuracy and speed.

Can this skill help reduce my API costs?

Yes, by using the 'efficient' mode and GlobalMOO optimization, the skill identifies the most token-efficient prompt structures that still meet your performance requirements.

What are the different cognitive modes available?

The skill offers five primary modes: Strict (maximum consistency), Balanced (general use), Efficient (token-optimized), Robust (security and edge cases), and Minimal (lightweight Q&A).

How does VERIX notation improve AI output quality?

VERIX provides a structured epistemic notation that requires the AI to ground its claims in evidence, providing clear confidence levels and preventing unverified assertions.

When should I use the 'robust' mode?

Robust mode should be activated for security-sensitive tasks, adversarial testing, or any scenario where handling complex edge cases is more important than speed.

Cognitive Mode Manager

Name: Cognitive Mode Manager
Author: DNYoussef

byDNYoussef

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Productivity & Workflow

Optimizes AI behavior through advanced cognitive framing, epistemic notation, and multi-objective prompt tuning for high-stakes tasks.

About

The Cognitive Mode Manager is an orchestration skill designed for the Context Cascade architecture, enabling precise control over how Claude processes information and generates responses. It integrates VERILINGUA cognitive frames and VERIX epistemic notation to ensure logical consistency and factual grounding, while utilizing GlobalMOO (Multi-Objective Optimization) and DSPy to find the perfect balance between token efficiency, accuracy, and robustness. This skill is particularly useful for developers and researchers working on security audits, complex documentation, and high-precision technical analysis where standard AI configurations may fall short.

Key Features

VERIX epistemic notation for explicit claim validation and grounding
GlobalMOO multi-objective optimization for prompt performance tuning
Specialized cognitive modes including strict, robust, and efficient profiles
VERILINGUA framing for diverse linguistic and logical perspectives
Pareto frontier analysis to visualize tradeoffs between speed and accuracy
13 GitHub stars

Use Cases

Optimizing high-volume API interactions for maximum token efficiency without sacrificing quality
Conducting high-precision research and legal analysis requiring strict epistemic grounding
Performing security-sensitive code audits using robust cognitive frames for edge-case detection

About

Key Features

VERIX epistemic notation for explicit claim validation and grounding
GlobalMOO multi-objective optimization for prompt performance tuning
Specialized cognitive modes including strict, robust, and efficient profiles
VERILINGUA framing for diverse linguistic and logical perspectives
Pareto frontier analysis to visualize tradeoffs between speed and accuracy
13 GitHub stars

Use Cases

Optimizing high-volume API interactions for maximum token efficiency without sacrificing quality
Conducting high-precision research and legal analysis requiring strict epistemic grounding
Performing security-sensitive code audits using robust cognitive frames for edge-case detection