# ZzzLc0405/photo-abstract-editorial

Repository: https://github.com/ZzzLc0405/photo-abstract-editorial
Canonical: https://ross.abutalabs.com/products/photo-abstract-editorial
License: NOASSERTION
License Family: other
Last push: 2026-08-19T03:31:31+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 2
- inputs: {"age_days": 29, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4868, forks 310 (observed 2026-08-28T04:09:01.562928+00:00)

## What it is
A Codex Skill / prompt template that transforms a photo into a vertical editorial composition combining the original photo with an abstract panel and a poetic English title. It ships as a reusable prompt (Chinese and English) plus skill metadata rather than executable code.

## Use cases
- turn a photo into an editorial poster with abstract panel
- generate abstract art panel derived from a photo's colors and composition
- create poetic-titled photo layouts with AI image generation
- use a Codex skill for photo-to-artwork transformation
- customize a prompt for photo-based abstract design

## When to choose
- you use OpenAI Codex or image-generation models and want a curated, tunable prompt for photo-to-editorial-artwork transformations
- you want the original photo preserved rather than redrawn or style-transferred

## When to avoid
- you need actual image-processing code or a standalone application
- you need a permissively licensed tool for commercial use (CC BY-NC-SA forbids commercial use)

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, prompt-engineering, templating
- domain: image-processing, artificial-intelligence, graphics, media
- platform: cross-platform, cli
- tags: codex-skill, prompt-template, photo-editing, abstract-art, editorial-design, image-generation, non-commercial-license

## Member repositories
- ZzzLc0405/photo-abstract-editorial (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:01.562928+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:20.498764+00:00, confidence not recorded.
  - readme: https://github.com/ZzzLc0405/photo-abstract-editorial (fetched 2026-08-28T04:09:01.562928+00:00, sha 0b0cbcc8f815)
- Data as of 2026-08-30T08:39:29.467469+00:00.