by dontriskit · AI 工具 · ★ 5.5k
Crafting Effective Prompts for Agentic AI Systems: Patterns and Practices Table of Contents Introduction: The Blueprint of Agentic AI The Foundation: Core Principles of Agentic Prompts Clear Role Definition and Scope Structured Instructions and Organization Explicit Tool Integration and Usage Guidelines Step-by-Step Reasoning and Planning Environment and Context Awareness Domain-Specific Expertise and Constraints Safety, Alignment, and Refusal Protocols Consistent Tone and Interaction Style Case Studies: Analyzing Real-World Prompts Vercel v0: UI Generation & Component Tooling same.new:...
| Stars | 5,458 |
| Forks | 830 |
| Language | TypeScript |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 37.3/100 |
| Open Issues | 10 |
| Last Updated | 2026-02-20 |
| Created | 2025-03-05 |
| Platforms | claude-code, node |
| Est. Tokens | ~26k |
These tools work well together with awesome-ai-system-prompts for enhanced workflows:
Explore other popular ai 工具 tools:
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 AI 工具 with 5.5k GitHub stars.
awesome-ai-system-prompts is primarily written in TypeScript.
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.
awesome-ai-system-prompts is released under the MIT license, making it free to use and modify according to the license terms.