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The repository contains system prompts — the foundational instructions given to AI products that define their behavior, formatting, tool use, and safety rules. Entries cover products like ChatGPT, Claude, Cursor, Windsurf, Perplexity, and others. It is a read-only reference collection, not a runnable tool or interactive platform.
Different AI products use different system prompt structures, and the repository lets you see these differences firsthand. For example, some products emphasize explicit formatting rules while others focus on tool-use definitions or safety guardrails. Rather than prescribing which approach works best for each tool, the repository provides the actual prompt text so you can study and compare vendor approaches directly.
Test with a consistent task across multiple runs. Effective prompts produce reliable, structured output that requires minimal manual editing. Note that the repository itself does not include effectiveness ratings or benchmarks — it provides raw prompt text for reference, and users must evaluate performance in their own environments.
The repository does not provide licensing guidance for individual entries. Some prompts are reverse-engineered from commercial products and may be subject to those vendors' intellectual property rights or terms of service. Users should independently assess legal implications before incorporating any prompt into commercial projects. When in doubt, use the prompts as learning references rather than direct copies.
Absolutely. No-code builders, product managers, and technical writers all benefit from structured prompts for tasks like API documentation, test scenario creation, and configuration generation.
Vendor-specific libraries (such as the Anthropic Prompt Library or OpenAI Cookbook) provide officially curated prompts and tutorials for their own products. Awesome AI System Prompts is a community-maintained, cross-vendor collection that aggregates system prompts from multiple products in one place, making it useful for comparing prompt design approaches across vendors. However, vendor libraries offer official guidance and are typically more authoritative for their specific platforms.
Compare features, test the interface, and see if it fits your workflow.