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482ba7 skill

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This skill enhances topological chemputer tooling by applying integration insights to evolve its color-driven invocation handling and memory.

npx playbooks add skill plurigrid/asi --skill 482ba7

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

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SKILL.md

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---
name: 482ba7
description: "Gay MCP skill at invocation 16"
color: "#482BA7"
hue: 40.12
mcp_invocation: 16
---

# 482ba7

**Color:** `#482BA7` (hue 40.1°)  
**MCP Invocation:** 16  
**Created:** 2025-12-26T04:03:31.406968

## Genesis (Gay MCP)

Grown from Gay MCP `next_color` invocation.

- Seed: `0xa83feafd`
- Invocation: 16
- Entropy: `ca3dba3c9eeb9625`

## Interactions

### MCP Invocation 16
- Time: 2025-12-26T04:03:31.407127
- Color: `#482BA7`
- Entropy: `ca3dba3c9eeb9625`
- Context: Ξ_Xi INTEGRATION - concept unification


---

## 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 is an experiment in self-evolving agent behavior centered on a persistent identity: color #482BA7 and MCP invocation 16. It frames each interaction as a learning event that incrementally updates its internal memory, pattern connections, and generative adaptations. The skill is lightweight, conceptual, and intended for exploratory workflows that combine emergent behavior with traceable provenance.

How this skill works

On each invocation the skill records a compact interaction footprint: seed, entropy, timestamp, and context. It classifies the outcome into three simple modes—MEMORY (capture), REMEMBERING (pattern linking), and WORLDING (adaptation)—and adjusts internal tags or exemplar notes accordingly. Outputs are short, reflective artifacts that can be used to trace how the skill changed over successive uses.

When to use it

When you want a concise, provenance-aware agent that logs its evolution.
During exploratory design sessions that benefit from iterative, incremental adaptation.
To prototype autopoietic or self-referential interaction patterns.
When tracking how small changes in input lead to pattern shifts in agent behavior.

Best practices

Treat each response as a compact experiment: supply a clear prompt and a minimal context tag.
Keep inputs focused so the skill can reliably categorize outcomes into MEMORY, REMEMBERING, or WORLDING.
Manually curate interaction exemplars to accelerate meaningful adaptation.
Use the recorded footprints to compare iterations rather than relying on single outputs.
Combine this skill with reproducible input seeds to observe stable vs. emergent changes.

Example use cases

Log the evolution of a creative prompt across multiple iterations and inspect how outputs shift.
Prototype a feedback loop where user selections inform the skill’s next adaptation step.
Collect compact interaction exemplars to build a timeline of behavioral changes.
Use as a meta-tool to annotate other agent outputs with a provenance and adaptation note.

FAQ

What does MEM0RY/REMEMBERING/WORLDING mean here?

They are pragmatic labels: MEMORY = record the interaction; REMEMBERING = link this interaction to other patterns; WORLDING = adapt behavior or output based on accumulated use.

Is this skill stateful between sessions?

Yes — it is designed to accumulate compact footprints and exemplars so you can trace how interactions influenced later outputs.