When should I apply the Relativity thinking pattern?

Use it when comparing systems across different environments, interpreting complex business metrics, or deciding if a technical trade-off is appropriate for a specific user segment.

Is this based on Einstein's theory of relativity?

Yes, it applies the metaphorical core of Einstein's theory—that measurements depend on the observer's perspective—to the fields of software engineering and business logic.

What is the Relativity skill for Claude Code?

It is a specialized thinking pattern that helps the AI interpret data, metrics, and technical claims based on specific contexts rather than using absolute, often misleading benchmarks.

How does this skill improve system monitoring?

By identifying the frame of reference for 'slow' or 'fast,' the skill allows the AI to provide nuanced feedback on system performance based on the specific constraints of the environment.

Contextual Relativity Analysis

Name: Contextual Relativity Analysis
Author: lev-os

bylev-os

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Analytics & Monitoring

Evaluates system metrics and project data through situational frames of reference to avoid misleading absolute measurements.

This skill implements the principle of relativity—inspired by Einstein's physics—into software development and system analysis. It guides Claude to recognize that measurements like performance speed, code quality, or business value are never absolute but depend entirely on the observer's context, such as user constraints, business stage, or technical environment. By identifying invariants and comparing frames of reference, this skill ensures that analysis remains grounded in meaningful relationships rather than arbitrary benchmarks.

Key Features

01Contextual baseline identification for system metrics

02Invariance analysis to identify stable truths across environments

03Frame-of-reference comparison for performance evaluation

04Constraint-aware value assessment for feature prioritization

050 GitHub stars

06Elimination of arbitrary absolute claims in technical documentation

Use Cases

01Interpreting business growth or technical debt metrics relative to the current market stage and architectural lifecycle.

02Determining if API response times are acceptable based on specific endpoint requirements rather than global standards.

03Evaluating the value of a user interface feature by comparing the needs of power users against casual users.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents relativity

For use in Claude.ai and ChatGPT

Download Skill