# dongshuyan/Awesome-Prompts

分享一下自创以及打野得到的各种优质prompt

Repository: https://github.com/dongshuyan/Awesome-Prompts
Canonical: https://ross.abutalabs.com/products/dongshuyan-awesome-prompts
License Family: other
Last push: 2026-03-01T21:29:32+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 35, longevity 17
- inputs: {"age_days": 239, "days_push": 185, "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 1607, forks 194 (observed 2026-08-28T04:05:10.517971+00:00)

## What it is
A curated personal collection of high-quality LLM prompts, including self-authored and community-sourced prompts for utilities, roleplay, writing, meta-prompting, and jailbreaks. It also bundles Git submodules with OpenClaw agent templates, use cases, and skill lists.

## Use cases
- find good prompts for chatgpt
- prompt collection for llm
- meta prompts to improve my prompts
- roleplay character prompts
- prompts to reduce hallucinations
- agent templates for openclaw
- writing and translation prompts

## When to choose
- you want a browsable library of ready-made prompts in Chinese and English
- you need meta-prompts or anti-hallucination prompt patterns
- you want OpenClaw agent templates and community skill lists bundled in one repo

## When to avoid
- you need production software or code rather than text prompts
- you require a permissively licensed or fully SFW resource (repo has no license and includes NSFW/jailbreak content)
- you want a tool or API rather than a curated list

## Facets
- artifact type: dataset
- maturity: active
- function: prompt-engineering, developer-tools
- domain: artificial-intelligence, large-language-models, awesome-lists
- platform: cross-platform
- tags: prompts, prompt-collection, jailbreak-prompts, roleplay, meta-prompts, nsfw, chinese, agent-templates, skills

## Member repositories
- dongshuyan/Awesome-Prompts (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:10.517971+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 2026-08-30T03:51:47.555146+00:00, confidence not recorded.
  - readme: https://github.com/dongshuyan/Awesome-Prompts (fetched 2026-08-28T04:05:10.517971+00:00, sha 5dc791ef8f8e)
- Data as of 2026-08-30T08:39:29.467469+00:00.