dontriskit

    dontriskit/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.

    ai-agents
    TypeScript
    MIT
    6.3K stars
    913 forks
    6.3K GitHub watchers
    Updated Oct 25, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 5 contributors on GitHub.

    Gained 49% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a curated collection of system prompts designed to guide and optimize agentic AI tools across multiple platforms.
    • Enables AI builders to leverage proven prompt patterns and best practices for reliable, safe, and effective autonomous AI behavior.
    • Use for designing role-specific system prompts that clearly define AI identity and operational scope in agentic AI systems.
    • Use for integrating structured instructions and explicit tool usage guidelines to improve AI tool interaction and output quality.
    • Use for embedding safety, alignment, and refusal protocols to ensure responsible AI responses in complex autonomous agents.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

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    From the README

    The rise of agentic Artificial Intelligence (AI) systems marks a significant shift from purely conversational models to AI that can actively perform tasks, interact with tools, and pursue complex goals autonomously. These systems, capable of planning, executing commands, editing files, browsing the web, and more, promise to revolutionize how we interact with technology and augment human capabilities.

    At the heart of every effective agentic AI lies its system prompt. More than just initial instructions, the system prompt serves as the foundational blueprint, the operational manual, or even the "constitution" guiding the AI's behavior, capabilities, limitations, and persona. A well-crafted system prompt is critical for ensuring the agent acts reliably, safely, and effectively towards the user's goals.

    This guide delves into the art and science of crafting these crucial prompts. By analyzing a diverse collection of real-world system prompts from the awesome-ai-system-prompts repository – specifically focusing on examples from Vercel's v0, same.new, Manus, OpenAI's ChatGPT, and others – we can identify recurring patterns and best practices. For builders shaping the agentic future of 2025 and beyond, understanding these patterns is essential for creating powerful, predictable, and trustworthy AI assistants.

    Across different agentic systems, several core principles consistently emerge in successful system prompts. These form the foundation upon which complex agent behavior is built.

    Excerpt from the dontriskit/awesome-ai-system-prompts README on GitHub (MIT license). Β© its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    913+11

    Open issues

    29+3

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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