awesome-ai-system-prompts — Agent Tool by dontriskit

by dontriskit · Agent Tool · ★ 5.5k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About awesome-ai-system-prompts

🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, windsurf, notion, and MetaAI.

Quick Facts

Stars5,458
Forks830
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score37.3/100
Open Issues10
Last Updated2026-02-20
Created2025-03-05
Platformsclaude-code, node
Est. Tokens~26k

Compatible Skills

These tools work well together with awesome-ai-system-prompts for enhanced workflows:

  • repomix — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • MCP-SuperAssistant — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is awesome-ai-system-prompts?

awesome-ai-system-prompts is 🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, w. It is categorized as a Agent Tool with 5.5k GitHub stars.

What programming language is awesome-ai-system-prompts written in?

awesome-ai-system-prompts is primarily written in TypeScript.

How do I install or use awesome-ai-system-prompts?

You can find installation instructions and usage details in the awesome-ai-system-prompts GitHub repository at github.com/dontriskit/awesome-ai-system-prompts. The project has 5.5k stars and 830 forks, indicating an active community.

What license does awesome-ai-system-prompts use?

awesome-ai-system-prompts is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-ai-system-prompts?

The top alternatives to awesome-ai-system-prompts on Agent Skills Hub include open-saas, agent-skills, raptor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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