Comparison
Awesome-ChatGPT-prompts-ZH_CN vs Awesome-Prompt-Engineering
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.
Markdown twin · Awesome-ChatGPT-prompts-ZH_CN alternatives · Awesome-Prompt-Engineering alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | Awesome-ChatGPT-prompts-ZH_CN | Awesome-Prompt-Engineering |
|---|---|---|
| Maintenance | Dormant (1105d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- Awesome-ChatGPT-prompts-ZH_CN
- 3.2k
- Awesome-Prompt-Engineering
- 6.2k
Forks
- Awesome-ChatGPT-prompts-ZH_CN
- 169
- Awesome-Prompt-Engineering
- 734
Open issues
- Awesome-ChatGPT-prompts-ZH_CN
- 11
- Awesome-Prompt-Engineering
- 94
Language
- Awesome-ChatGPT-prompts-ZH_CN
- -
- Awesome-Prompt-Engineering
- TypeScript
Adopt for
- Awesome-ChatGPT-prompts-ZH_CN
- A set of prompts designed to fine-tune ChatGPT towards mimicking the characteristics and responses of a catgirl persona.
- Awesome-Prompt-Engineering
- Awesome-Prompt-Engineering curates resources tailored for GPT, ChatGPT, PaLM prompt engineering in TypeScript under Apache-2.0 license.
Persona
- Awesome-ChatGPT-prompts-ZH_CN
- -
- Awesome-Prompt-Engineering
- -
Runtime
- Awesome-ChatGPT-prompts-ZH_CN
- -
- Awesome-Prompt-Engineering
- -
License
- Awesome-ChatGPT-prompts-ZH_CN
- -
- Awesome-Prompt-Engineering
- Apache-2.0
Last pushed
- Awesome-ChatGPT-prompts-ZH_CN
- Jul 18, 2023
- Awesome-Prompt-Engineering
- Jul 27, 2026
Categories
- Awesome-ChatGPT-prompts-ZH_CN
- Developer Tools
- Awesome-Prompt-Engineering
- Developer Tools, Model Training
Trust and health
Maintenance
- Awesome-ChatGPT-prompts-ZH_CN
- Dormant (18%)
- Awesome-Prompt-Engineering
- Very active (96%)
Days since push
- Awesome-ChatGPT-prompts-ZH_CN
- 1105d
- Awesome-Prompt-Engineering
- 0d
Open issues (now)
- Awesome-ChatGPT-prompts-ZH_CN
- 11
- Awesome-Prompt-Engineering
- 94
Owner type
- Awesome-ChatGPT-prompts-ZH_CN
- User
- Awesome-Prompt-Engineering
- Organization
Full report
- Awesome-ChatGPT-prompts-ZH_CN
- Trust report
- Awesome-Prompt-Engineering
- Trust report
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).
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.
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-Prompt-Engineering
- The project requires languages other than TypeScript
- Resource is about areas outside of GPT, ChatGPT, PaLM prompt engineering
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) · observed Jul 28, 2026
- GitHub forks (L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) · observed Jul 28, 2026
- Last push (L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN) · observed Jul 18, 2023
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- GitHub forks (promptslab/Awesome-Prompt-Engineering) · observed Jul 28, 2026
- Last push (promptslab/Awesome-Prompt-Engineering) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-ChatGPT-prompts-ZH_CN 3.2k · Awesome-Prompt-Engineering 6.2k (synced Jul 28, 2026).
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 and Awesome-Prompt-Engineering alternatives (Awesome-ChatGPT-prompts-ZH_CN markdown twin, Awesome-Prompt-Engineering markdown twin), 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 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; Awesome-Prompt-Engineering trust report.