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db7de8 skill

/skills/db7de8

This skill improves itself through use, evolving with each invocation to refine color synthesis and contextual understanding for autopoietic tasks.

npx playbooks add skill plurigrid/asi --skill db7de8

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

Files (1)
SKILL.md
906 B
---
name: db7de8
description: "Gay MCP skill at invocation 6"
color: "#DB7DE8"
hue: 105.05
mcp_invocation: 6
---

# db7de8

**Color:** `#DB7DE8` (hue 105.0°)  
**MCP Invocation:** 6  
**Created:** 2025-12-26T03:50:35.597962

## Genesis (Gay MCP)

Grown from Gay MCP `next_color` invocation.

- Seed: `0xa83feafd`
- Invocation: 6
- Entropy: `87de2374ab650932`

## Interactions

### MCP Invocation 6
- Time: 2025-12-26T03:50:35.598106
- Color: `#DB7DE8`
- Entropy: `87de2374ab650932`
- Context: Spectre monotile + mutually aware threads GF(3) synthesis


---

## 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 captures and exposes metadata from a Gay MCP invocation labeled db7de8, centered on the color #DB7DE8 and its procedural genesis. It packages invocation details, seed and entropy, and a short autopoietic policy for iterative improvement. The intent is practical: preserve reproducible context for generative, topological, or chemputer-inspired workflows.

How this skill works

On each invocation the skill records core fields: color hex, MCP invocation number, seed, entropy, timestamp, and contextual notes about synthesis. It surfaces the provenance (genesis, interactions) and maintains lightweight autopoietic marginalia to guide incremental updates. Consumers can read the metadata to reproduce runs, seed generative systems, or annotate the skill’s evolution.

When to use it

  • Documenting generative-art or chemputer runs that require reproducible seeds and entropy.
  • Selecting or cataloging colors and hues for design systems tied to procedural generation.
  • Recording provenance for experiments that combine topology, synthesis, and thread-aware processes.
  • Seeding deterministic workflows or random processes in simulations and creative tools.
  • Teaching or demonstrating MCP-style invocation patterns and reproducibility practices.

Best practices

  • Always record the full invocation block (seed, entropy, timestamp) alongside outputs for reproducibility.
  • Attach short, concrete examples of how the invocation was used to make future retrieval useful.
  • Keep marginalia focused: note one change, one lesson, and one suggested next step per interaction.
  • Use consistent tags or fields (color, invocation, context) when aggregating multiple skills.
  • Avoid exposing sensitive data in seeds or context fields; treat entropy as internal provenance.

Example use cases

  • A designer seeds a palette generator with the recorded seed and uses #DB7DE8 as a primary hue.
  • A researcher reproduces a topological chemputer synthesis by replaying the invocation parameters.
  • A creative coder drives deterministic animation frames from the skill’s seed and entropy values.
  • An educator demonstrates how provenance and marginalia improve iterative creative systems.
  • A tool aggregates many MCP invocations to study evolution patterns and autopoietic notes.

FAQ

What does the autopoietic marginalia do?

It guides how the skill should evolve: record learnings, connect patterns, and propose small worlding updates after each use.

Can I reuse the seed and entropy for deterministic outputs?

Yes. Recording seed and entropy lets you reproduce or seed deterministic processes in generative and experimental workflows.