# op7418/guizang-s-prompt

这里是歸藏的提示词储存库，存放着歸藏撰写的所有 AI 模型提示词（This is Guizang's prompt repository, containing all AI model prompts written by Guizang.）

Repository: https://github.com/op7418/guizang-s-prompt
Canonical: https://ross.abutalabs.com/products/guizang-s-prompt
License: MIT
License Family: permissive
Last push: 2026-01-06T16:08:19+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 61, release rhythm 35, longevity 17
- inputs: {"age_days": 247, "days_push": 239, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1444, forks 155 (observed 2026-08-28T04:04:45.036288+00:00)

## What it is
A curated collection of AI prompts written by Guizang, covering image, text, and video generation use cases. Prompts are stored as markdown and JSON files for use with AI image, video, and text models.

## Use cases
- find prompts for AI image generation
- poster design prompts for AI models
- video generation prompt examples
- PPT slide generation prompts
- creative AI prompt inspiration
- prompt library for image and video models

## When to choose
- you want ready-made, high-quality prompts for image or video generation
- you need inspiration for poster, infographic, or presentation-style AI outputs
- you want to study well-crafted prompt writing

## When to avoid
- you need a tool or library to run prompts programmatically
- you need text-generation prompts, which are not yet included
- you need prompts with permissive usage guarantees beyond the MIT license on the files

## Facets
- artifact type: dataset
- maturity: active
- function: prompt-engineering, data-generation
- domain: artificial-intelligence, large-language-models, image-processing
- platform: cross-platform
- tags: prompts, prompt-library, image-generation, video-generation, ai-art, chinese, video

## Member repositories
- op7418/guizang-s-prompt (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.036288+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 2026-08-30T04:36:18.366720+00:00, confidence not recorded.
  - readme: https://github.com/op7418/guizang-s-prompt (fetched 2026-08-28T04:04:45.036288+00:00, sha 3dff495affab)
- Data as of 2026-08-30T08:39:29.467469+00:00.