Agent skill · Design & Presentation

unworlding-involution

Self-inverse derivation patterns where ι∘ι = id for frame-invariant self

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill unworlding-involution --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/ai-ml/unworlding-involution/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Unworlding Involution Skill **Status**: ✅ Production Ready **Trit**: 0 (ERGODIC - self-inverse) **Principle**: ι∘ι = id (involution is its own inverse) **Frame**: Invariant under observation --- ## Overview This skill demonstrates **unworlding** - extracting frame-invariant self-structure from interaction dynamics. The key insight: > **Unworlding** = Observing structure without caring about evaluation context The **involution** ι: Self → Self satisfies ι∘ι = id, meaning: - Apply once: transform to "other" perspective - Apply twice: return to original (fixed point) ## Core Concept: Frame-Invariant Self In a 3-MATCH task, three agents observe each other. The **best response dynamics** converge to a Nash equilibrium where each agent's color is the best response to the others. ``` Agent A observes (B, C) → best response → Color A' Agent B observes (C, A) → best response → Color B' Agent C observes (A, B) → best response → Color C' Fixed point: (A', B', C') = (A, B, C) when GF(3) conserved ``` The **frame invariance** means: regardless of which agent you ARE, the dynamics look the same. This is the "self" that persists across frames. ## Involution Structure ```ruby # The involution: ι

What's inside
Steps it walks through
  1. Overview
  2. Core Concept: Frame-Invariant Self
  3. Involution Structure
  4. Best Response Color Dynamics
  5. The 3-MATCH Best Response
  6. Unworlding: Demo → Skill
  7. Frame Invariance via Loopy Strange
  8. Hierarchical Control (Powers PCT)
  9. The Skill: Unworlding Involution
  10. Commands
  11. Integration with 3-MATCH Gadget
  12. Mathematical Summary
  13. The Triadic Output Colors
  14. Scientific Skill Interleaving
Ships with 1 file
  • metadata.json
Commands it runs
Run unworlding demo
just unworlding-demo
Test involution (ι∘ι = id)
just involution-test
Best response dynamics
just best-response seed=1069
Full 3-MATCH with unworlding
just three-match-unworld
More from claude-skill-registry
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About this skill
What does the unworlding-involution skill do?

Self-inverse derivation patterns where ι∘ι = id for frame-invariant self

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill unworlding-involution --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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