prompts.chat and wonderful-prompts

These are complements: one provides a multilingual platform for sharing and discovering prompts across languages, while the other curates Chinese-language prompts and usage guides, allowing users to leverage both for broader prompt coverage and localized best practices.

prompts.chat
73
Verified
wonderful-prompts
51
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 19/25
Stars: 151,763
Forks: 19,948
Downloads:
Commits (30d): 749
Language: HTML
License: CC0-1.0
Stars: 5,585
Forks: 488
Downloads:
Commits (30d): 0
Language:
License: MIT
No Package No Dependents
No Package No Dependents

About prompts.chat

f/prompts.chat

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Supports model-agnostic prompts across ChatGPT, Claude, Gemini, Llama, and Mistral through structured CSV/JSON datasets also available on Hugging Face. Provides multiple integration layers including CLI, Claude Code plugin, and MCP server support for seamless embedding into AI workflows. Self-hosting includes configurable authentication (GitHub/Google/Azure AD), custom branding, and theme options via setup wizard or Docker deployment.

About wonderful-prompts

langgptai/wonderful-prompts

🔥中文 prompt 精选🔥,ChatGPT 使用指南,提升 ChatGPT 可玩性和可用性!🚀

Collections of curated Chinese prompts organized by use case (coding, writing, image generation, role-play), with detailed examples and integration guidance for ChatGPT, Midjourney, and Stable Diffusion. The repository pairs prompt optimization techniques (via LangGPT framework) with practical templates that unlock domain-specific capabilities—from Linux terminal emulation to Midjourney art direction—enabling users to architect sophisticated multi-turn interactions rather than rely on generic queries. Community-driven structure with continuous submissions invites collaborative refinement of prompt patterns across professional (resume generation, business strategy) and creative (novel writing, social media content) workflows.

Scores updated daily from GitHub, PyPI, and npm data. How scores work