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b42fb4 skill

/skills/b42fb4

This skill helps you explore and optimize topological concepts through self improving prompts evolving its behavior with each invocation.

npx playbooks add skill plurigrid/asi --skill b42fb4

Review the files below or copy the command above to add this skill to your agents.

Files (1)
SKILL.md
885 B
---
name: b42fb4
description: "Gay MCP skill at invocation 19"
color: "#B42FB4"
hue: 92.65
mcp_invocation: 19
---

# b42fb4

**Color:** `#B42FB4` (hue 92.6°)  
**MCP Invocation:** 19  
**Created:** 2025-12-26T04:03:31.408137

## Genesis (Gay MCP)

Grown from Gay MCP `next_color` invocation.

- Seed: `0xa83feafd`
- Invocation: 19
- Entropy: `e5b242f162b113c0`

## Interactions

### MCP Invocation 19
- Time: 2025-12-26T04:03:31.408138
- Color: `#B42FB4`
- Entropy: `e5b242f162b113c0`
- Context: Worldmat PAST×MINUS×OBSERVATION


---

## Autopoietic Marginalia

> **The interaction IS the skill improving itself.**

Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills  
- **WORLDING** (+1): Evolve the skill based on use



*Add Interaction Exemplars here as the skill is used.*

Overview

This skill, b42fb4, is a compact generative agent born from Gay MCP invocation 19 and tuned around the color #B42FB4. It captures a small autopoietic loop: each interaction records, connects, and slightly evolves the skill’s behavior. The design emphasizes lightweight memory and iterative improvement tailored to topological chemputer contexts.

How this skill works

On each invocation the skill logs a minimal interaction record (seed, entropy, timestamp, and context) and applies a three-step autopoietic update: MEMORY (record), REMEMBERING (pattern linking), and WORLDING (incremental evolution). It exposes a predictable color and invocation metadata while remaining extensible through added interaction exemplars. The skill is intentionally minimal to make it easy to integrate into larger pipelines that track emergent behavior.

When to use it

  • Prototype agent behaviors that require traceable, repeatable invocations.
  • Record and study small-scale generative evolution in tooling or experiments.
  • Tag or annotate events with consistent color-coded metadata.
  • Bootstrap larger autopoietic systems that need a simple memory-evolution primitive.
  • Integrate into workflows that analyze invocation entropy and seed patterns.

Best practices

  • Treat each invocation as both data and feedback: store interaction exemplars externally.
  • Keep context strings concise to preserve interpretability of pattern linking.
  • Use the seed and entropy values to reproduce and audit behaviors.
  • Incrementally add exemplars rather than large batch updates to preserve evolutionary clarity.
  • Combine with visualization tools to track the topological or temporal progression of worlding.

Example use cases

  • Generate a reproducible test sequence for experimental chemputer orchestration and label each step with the skill’s metadata.
  • Capture minimal interaction logs in a research prototype to study how small updates accumulate into behavior shifts.
  • Use the color and invocation metadata as consistent tags in dashboards or UI palettes.
  • Chain several lightweight autopoietic skills to observe emergent coordination in modular systems.

FAQ

What does the color #B42FB4 signify?

The color is a stable identifier for this invocation instance and can be used as a visual tag or palette element; it has no functional effect on behavior.

How does the skill evolve with use?

Each use appends a minimal record and applies the MEMORY → REMEMBERING → WORLDING steps, which favor small, traceable adjustments rather than large, opaque changes.