القائمة
Recognize that measurements and observations depend on frame of reference—absolute values are less meaningful than relationships and context
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
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يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/lev-os/agents --skill relativityيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Routes adaptive multi-agent deliberation with fractal context cycles. Use when using /cdo, think/deep/debug/parliament work, or long runs paired with autoresearch scheduling.
Use when you need an evidence-first provenance report from `cass`, repo docs, `.lev`, `~/.agents/diagrams`, `qmd`, or Grep/Glob tools.
Use the codebase knowledge graph for structural code queries. Triggers on: explore the codebase, understand the architecture, what functions exist, show me the structure, who calls this function, what does X call, trace the call chain, find callers of, show dependencies, impact analysis, dead code, unused functions, high fan-out, refactor candidates, code quality audit, graph query syntax, Cypher query examples, edge types, how to use search_graph.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | relativity |
| description | Recognize that measurements and observations depend on frame of reference—absolute values are less meaningful than relationships and context |
What: The principle that physical measurements (space, time, velocity) depend on the observer's frame of reference—there is no absolute perspective; only relationships between frames matter.
When to use: When interpreting metrics, comparing systems in different contexts, or recognizing that "absolute" measures are often frame-dependent.
Introduced by: Albert Einstein (1905 Special Relativity, 1915 General Relativity)
Key insights:
From what perspective is this measurement taken? User context, business context, technical constraints?
How does same phenomenon appear from different perspectives?
What relationships hold across all frames? These are the meaningful measures.
Recognize context-dependence. "Fast" depends on baseline; "good metric" depends on goals.
Performance Metrics: "Slow" is relative—acceptable for batch job, unacceptable for API endpoint Product Value: Feature value depends on user context—power user vs. casual user frames Business Metrics: Revenue growth "good" or "bad" relative to market, stage, investment
Practitioner Weight: 10/10 — Einstein's theory validated experimentally; foundational to modern physics, GPS, particle physics Clarity & Executability: 6/10 — Physics is clear; metaphorical application requires interpretation Proven ROI: 10/10 — Enables GPS, particle accelerators, cosmology; metaphor useful in context-aware thinking Novelty: 10/10 — Revolutionary physics; challenges absolute space/time intuitions Cross-Domain Applicability: 7/10 — Direct application in physics; metaphorical in business/software
Total Score: 43/50 (Tier 1: Canonical)