# K-Render/best-chinese-prompt

AI中文提示词秘籍ChatGPT中文提示词秘籍（Prompt圣经）K-Render整理

Repository: https://github.com/K-Render/best-chinese-prompt
Canonical: https://ross.abutalabs.com/products/best-chinese-prompt
License Family: other
Last push: 2023-03-31T15:21:31+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 89
- inputs: {"age_days": 1251, "days_push": 1251, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1930, forks 156 (observed 2026-08-28T04:05:56.026337+00:00)

## What it is
A curated Chinese-language prompt collection ('Prompt Bible') for ChatGPT and other LLMs, organized by category with example prompts and tested responses from GPT-4, ChatGPT, ERNIE Bot, and New Bing. The repository points to a Feishu spreadsheet for the latest updates.

## Use cases
- find good Chinese prompts for ChatGPT
- learn how to write effective prompts in Chinese
- get prompt examples for work communication scenarios
- see how different LLMs respond to the same Chinese prompt
- browse a categorized prompt library for daily tasks

## When to choose
- you write prompts in Chinese and want tested examples
- you want to compare responses across ChatGPT, GPT-4, ERNIE Bot, and New Bing
- you need inspiration for role-based or task-based prompts

## When to avoid
- you need a programmatic prompt library or SDK
- you only work with English prompts
- you need actively updated content on GitHub rather than an external Feishu doc

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: prompt-engineering, chatbot, nlp
- domain: large-language-models, artificial-intelligence, tutorials
- platform: cross-platform
- tags: chinese-prompts, chatgpt, prompt-collection, awesome-list, llm, natural-language-processing

## Member repositories
- K-Render/best-chinese-prompt (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:56.026337+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 2026-08-30T03:08:46.566820+00:00, confidence not recorded.
  - readme: https://github.com/K-Render/best-chinese-prompt (fetched 2026-08-28T04:05:56.026337+00:00, sha 9b3b41ac5a51)
- Data as of 2026-08-30T08:39:29.467469+00:00.