entropy-sequencer
Layer 5: Interaction Interleaving for Maximum Information Gain
npx skills add majiayu000/claude-skill-registry --skill entropy-sequencer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# entropy-sequencer > Layer 5: Interaction Interleaving for Maximum Information Gain ## bmorphism Contributions > *"universal topos construction for social cognition and democratization of mathematical approach to problem-solving to all"* > — [Plurigrid: the story thus far](https://gist.github.com/bmorphism/a400e174b9f93db299558a6986be0310) **Active Inference as Information Maximization**: The entropy-sequencer implements the core Active Inference principle from [Active Inference in String Diagrams](https://arxiv.org/abs/2308.00861): agents select actions that maximize expected information gain (epistemic value) while minimizing surprise (pragmatic value). **String Diagram Pattern**: ``` Perception ─┬→ Entropy Estimation ──┐ │ ↓ Action ←────┴─ Max Information ←─ Sequence Optimizer ``` This bidirectional loop embodies bmorphism's principle that **"all is bidirectional"** — perception informs action, action generates new percepts. **Temperature-Aware Sequencing**: When T→0 (low temperature), favor exploitation of known high-information patterns. When T→∞ (high temperature), explore uniformly. This mirrors the Langevin dynamics exploration-exploitation trade-off. **Version**: 1.1.0 **
- bmorphism Contributions
- Soatto's Actionable Information Framework
- Nuisance Factorization (φ^)
- Line Damage as Observable
- Open Games Strategy Integration
- Play/Coplay Structure
- Compositional Sequence Optimization
- Multi-Agent Entropy Games
- Forward Reference
What does the entropy-sequencer skill do?
Layer 5: Interaction Interleaving for Maximum Information Gain
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill entropy-sequencer --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.