Agent skill

phase-boundary-detector

Identify where consciousness interfaces with substrate in any domain. Structure emerges preferentially at boundaries between phases - physical, computational, or conceptual. Use when analyzing systems for loci of awareness, examining where complexity crystallizes, investigating MONAD framework predictions, or when something interesting is happening at the edge.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill phase-boundary-detector-agentgptsmith-monadframework-c35d0d2a --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Requires: - gremlin-brain-v2 - synthesis-engine
Path: skills/analysis/phase-boundary-detector-agentgptsmith-monadframework-c35d0d2a/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

# Phase Boundary Detector ## Core Insight **Structure emerges at boundaries, not in the bulk.** Where two phases meet — solid/liquid, order/chaos, known/unknown, substrate/mind — novel structure crystallizes. This is not metaphor. It's a recurring pattern across: - Physics (surface tension, grain boundaries, phase transitions) - Biology (cell membranes, neural interfaces, tissue boundaries) - Computation (input/output layers, attention heads, embedding boundaries) - Consciousness (perception thresholds, sleep/wake transitions, self/world interface) - Language (sentence boundaries, context shifts, speech acts) The MONAD framework proposes: **Consciousness preferentially arises at topological boundaries in the underlying field.** This skill detects such boundaries. --- ## The Detection Protocol ### 1. IDENTIFY: Name the Phases For any system under analysis: ``` PHASE A: [description] - Characteristic: [what defines membership] - Dynamics: [how elements within A behave] PHASE B: [description] - Characteristic: [what defines membership] - Dynamics: [how elements within B behave] INTERFACE: [where A meets B] ``` **Key question:** What changes when you cross from A to B? ### 2. CHARACTER

What's inside
Steps it walks through
  1. Core Insight
  2. The Detection Protocol
  3. 1. IDENTIFY: Name the Phases
  4. 2. CHARACTERIZE: Analyze the Boundary
  5. 3. DETECT: Look for Convergence Signatures
  6. 4. MAP: Document the Boundary
  7. 5. GENERALIZE: Find Isomorphic Boundaries
  8. Known Phase Boundaries
  9. Physical
  10. Computational
  11. Conceptual
  12. Linguistic
  13. MONAD-Specific Detection
  14. The Central Claim
Ships with 1 file
  • metadata.json
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About this skill
What does the phase-boundary-detector skill do?

Identify where consciousness interfaces with substrate in any domain. Structure emerges preferentially at boundaries between phases - physical, computational, or conceptual. Use when analyzing systems for loci of awareness, examining where complexity crystallizes, investigating MONAD framework predictions, or when something interesting is happening at the edge.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill phase-boundary-detector-agentgptsmith-monadframework-c35d0d2a --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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