---
title: "genetic-programming-pipelines"
description: "Genetic programming (GP / programación genética) applied to neural-network and deep-learning pipelines: evolutionary program-space search (code, trees, configs, architectures, augmentations, prompts, agents) with fitness"
canonical: https://agentpluginsdirectory.com/plugins/genetic-programming-pipelines
last-updated: 2026-09-25
---

# genetic-programming-pipelines
Genetic programming (GP / programación genética) applied to neural-network and deep-learning pipelines: evolutionary program-space search (code, trees, configs, architectures, augmentations, prompts, agents) with fitness-ladder design, LLM operators, champion selection, diversity pressure, and objective audits. Activates only on genetic-programming topics, not generic autoresearch.
- Slug: genetic-programming-pipelines
- Publisher: Antonio Gómez
- Repository: https://github.com/aintoniodev/autoskilling
- Manifest: genetic-programming-pipelines/plugin.json
- Version: 1.0.0
- License: MIT
- Category (editorial): other
- Skills: 1 (genetic-programming-pipelines)
- MCP servers: 0
- Stars: 0
- Repository created: 2026-08-06
- Repository last pushed: 2026-09-07
- Publisher type: User
- Listing: https://agentpluginsdirectory.com/plugins/genetic-programming-pipelines
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What genetic-programming-pipelines does, in the publisher's words

Genetic programming (GP) applied to neural-network and deep-learning pipelines: evolutionary search in program space (architectures, augmentations, configs, prompts, agents) with LLM variation operators, fitness ladders, deterministic gates, champion selection, diversity pressure and objective audits.

- Activates only on genetic-programming topics (ES: programación genética), not generic autoresearch, HPO or NAS without a GP framing.
- Evidence base: 41-source scientific synthesis (2026-08-09) + field validation on a live benchmark (2026-08-10: 18 CNN-MNIST candidates, 3 generations, RTX 2060, rank-inversion and tier-blind-spot findings logged in skills/genetic-programming-pipelines/references/evidence.md).
- Plugin format: Agent Plugin 1.0.0 (agent-plugins.org): plugin.json + skills/ directory.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/aintoniodev/autoskilling/HEAD/genetic-programming-pipelines/README.md

## Skills

- genetic-programming-pipelines: Genetic programming (GP) / programación genética applied to neural-network and deep-learning pipelines: evolutionary search in program space (code, trees, configs, architectures, augmentations, prompts, agents) and fitness/evaluation design for GP loops. Covers search-space framing (what evolves vs…

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.