dontriskit/awesome-ai-system-prompts
π§ 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.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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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.
General guidance from repository metadata, not legal advice. How we score
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 β specifically focusing on examples from Vercel's v0, same.new, Manus, OpenAI's ChatGPT, and others β 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.
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
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| dontriskit/awesome-ai-system-prompts | 6.3K | β | 8 | β |
| Category median | 55.5K | +6.6K | 40 | β |
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