# yaojingang/yao-open-prompts

Practical bilingual AI prompt library for prompt engineering, work, learning, content, marketing, and everyday use.

Repository: https://github.com/yaojingang/yao-open-prompts
Canonical: https://ross.abutalabs.com/products/yao-open-prompts
Homepage: https://yaojingang.github.io/yao-open-prompts/
Language: Python
License: NOASSERTION
License Family: other
Topics: ai, chinese-prompts, geo, prompt-engineering, prompts
Last push: 2026-07-29T08:52:01+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 8
- inputs: {"age_days": 119, "days_push": 35, "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 2765, forks 452 (observed 2026-08-28T04:07:18.634848+00:00)

## What it is
A bilingual (Chinese/English) open-source collection of 118 curated AI prompts organized by scenario such as work, learning, content creation, and marketing. It includes a catalog, templates, and maintenance scripts for managing and iterating on prompts.

## Use cases
- find ready-made prompts for content marketing
- learn prompt engineering with real examples
- optimize an existing prompt with a meta-prompt system
- generate GEO-optimized articles for AI search visibility
- copy prompts for writing, PPT, and short-video creation

## When to choose
- you want a curated, categorized prompt library in Chinese and English
- you need GEO/AI-search marketing prompt templates
- you prefer copy-paste prompts over building tooling

## When to avoid
- you need executable prompt-automation software or an API
- you only want English prompts with no Chinese context
- you need prompts under a standard permissive license

## Facets
- artifact type: dataset
- maturity: active
- function: prompt-engineering
- domain: large-language-models, tutorials
- platform: cross-platform
- tags: prompt-library, bilingual, chinese, geo, markdown

## Member repositories
- yaojingang/yao-open-prompts (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.634848+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 2026-08-30T08:16:46.650649+00:00, confidence not recorded.
  - readme: https://github.com/yaojingang/yao-open-prompts (fetched 2026-08-28T04:07:18.634848+00:00, sha 13020c9d0e1d)
  - homepage: https://yaojingang.github.io/yao-open-prompts/ (fetched 2026-08-29T09:56:24.071014+00:00, sha f2188c96d675)
- Data as of 2026-08-30T08:39:29.467469+00:00.