--- title: "Awesome-ChatGPT-prompts-ZH_CN vs Awesome-Prompt-Engineering" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/l1xu4n-awesome-chatgpt-prompts-zh-cn-vs-promptslab-awesome-prompt-engineering" tools: ["l1xu4n-awesome-chatgpt-prompts-zh-cn", "promptslab-awesome-prompt-engineering"] --- # Awesome-ChatGPT-prompts-ZH_CN vs Awesome-Prompt-Engineering *GraphCanon updated Jul 28, 2026* ## Verdict Pick Awesome-ChatGPT-prompts-ZH_CN if a set of prompts designed to fine-tune ChatGPT towards mimicking the characteristics and responses of a catgirl persona; pick Awesome-Prompt-Engineering if awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. [Awesome-ChatGPT-prompts-ZH_CN](https://github.com/L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) reports 3.2k GitHub stars, 169 forks, and 11 open issues, last pushed Jul 18, 2023. [Awesome-Prompt-Engineering](https://discord.gg/m88xfYMbK6) has 6.2k stars, 734 forks, and 94 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [Awesome-ChatGPT-prompts-ZH_CN's repository](https://github.com/L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) and [Awesome-Prompt-Engineering's repository](https://github.com/promptslab/Awesome-Prompt-Engineering). | | [Awesome-ChatGPT-prompts-ZH_CN](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn.md) | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | | --- | --- | --- | | Tagline | How to train ChatGPT into a catgirl persona | Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers | | Stars | 3,161 | 6,197 | | Forks | 169 | 734 | | Open issues | 11 | 94 | | Language | - | TypeScript | | Adopt for | A set of prompts designed to fine-tune ChatGPT towards mimicking the characteristics and responses of a catgirl persona. | Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Developer Tools | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-ChatGPT-prompts-ZH_CN](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn.md) | [Awesome-Prompt-Engineering](/tools/promptslab-awesome-prompt-engineering.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1105d | 0d | | Open issues (now) | 11 | 94 | | Owner type | User | Organization | | Full report | [trust report](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/trust.md) | [trust report](/tools/promptslab-awesome-prompt-engineering/trust.md) | ## Decision facts: Awesome-ChatGPT-prompts-ZH_CN - **Adopt for:** A set of prompts designed to fine-tune ChatGPT towards mimicking the characteristics and responses of a catgirl persona. ## Decision facts: Awesome-Prompt-Engineering - **Adopt for:** Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license. ## Choose when ### Choose Awesome-ChatGPT-prompts-ZH_CN if… - Use for content creators who seek an anthropomorphic feline representation that aligns closely with popular Japanese culture and aesthetics within text interactions. - Leaner open-issue backlog (11). ### Choose Awesome-Prompt-Engineering if… - Tags unique to Awesome-Prompt-Engineering: deep-learning, few-shot-learning, gpt, machine-learning. - Also covers Model Training. - You need focused materials on GPT and related models for prompt engineering ## When NOT to use Awesome-ChatGPT-prompts-ZH_CN - Not recommended for applications where serious or professional dialogue is imperative as the catgirl persona might undermine the tone needed in such scenarios. - Avoid if needing versatility beyond the narrow scope of a catgirl persona; this tool does not support broad customization across different character types. ## When NOT to use Awesome-Prompt-Engineering - The project requires languages other than TypeScript - Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ## Common questions ### What is the difference between Awesome-ChatGPT-prompts-ZH_CN and Awesome-Prompt-Engineering? Awesome-ChatGPT-prompts-ZH_CN: How to train ChatGPT into a catgirl persona. Awesome-Prompt-Engineering: Hand-curated resources for Prompt Engineering focusing on Generative Pre-trained Transformers. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-ChatGPT-prompts-ZH_CN over Awesome-Prompt-Engineering? Choose Awesome-ChatGPT-prompts-ZH_CN over Awesome-Prompt-Engineering when Use for content creators who seek an anthropomorphic feline representation that aligns closely with popular Japanese culture and aesthetics within text interactions; Leaner open-issue backlog (11). ### When should I choose Awesome-Prompt-Engineering over Awesome-ChatGPT-prompts-ZH_CN? Choose Awesome-Prompt-Engineering over Awesome-ChatGPT-prompts-ZH_CN when Tags unique to Awesome-Prompt-Engineering: deep-learning, few-shot-learning, gpt, machine-learning; Also covers Model Training; You need focused materials on GPT and related models for prompt engineering. ### When should I avoid Awesome-ChatGPT-prompts-ZH_CN? Not recommended for applications where serious or professional dialogue is imperative as the catgirl persona might undermine the tone needed in such scenarios. Avoid if needing versatility beyond the narrow scope of a catgirl persona; this tool does not support broad customization across different character types. ### When should I avoid Awesome-Prompt-Engineering? The project requires languages other than TypeScript Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering ### Is Awesome-ChatGPT-prompts-ZH_CN or Awesome-Prompt-Engineering more popular on GitHub? Awesome-Prompt-Engineering has more GitHub stars (6,197 vs 3,161). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-ChatGPT-prompts-ZH_CN and Awesome-Prompt-Engineering open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Awesome-ChatGPT-prompts-ZH_CN or Awesome-Prompt-Engineering? GraphCanon lists graph-backed alternatives at [Awesome-ChatGPT-prompts-ZH_CN alternatives](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/alternatives) and [Awesome-Prompt-Engineering alternatives](/tools/promptslab-awesome-prompt-engineering/alternatives) ([Awesome-ChatGPT-prompts-ZH_CN markdown twin](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/alternatives.md), [Awesome-Prompt-Engineering markdown twin](/tools/promptslab-awesome-prompt-engineering/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/l1xu4n-awesome-chatgpt-prompts-zh-cn-vs-promptslab-awesome-prompt-engineering.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-ChatGPT-prompts-ZH_CN or Awesome-Prompt-Engineering? Awesome-ChatGPT-prompts-ZH_CN: Dormant. Awesome-Prompt-Engineering: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Awesome-ChatGPT-prompts-ZH_CN and Awesome-Prompt-Engineering? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-ChatGPT-prompts-ZH_CN trust report](/tools/l1xu4n-awesome-chatgpt-prompts-zh-cn/trust); [Awesome-Prompt-Engineering trust report](/tools/promptslab-awesome-prompt-engineering/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=l1xu4n-awesome-chatgpt-prompts-zh-cn`](/api/graphcanon/graph?tool=l1xu4n-awesome-chatgpt-prompts-zh-cn) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_