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TutorialsLearn LangChain FewShotPromptTemplate: core parameters, implementations for text completion and chat models, and practical use cases like batch file renaming to reduce LLM hallucinations.
TutorialsA detailed guide to Agent Skill's core principles and four key components (skill.md, references, scripts, assets), covering file structure, differences from prompts, and customization methods.
TutorialsLearn how Zion's no-code platform lets you build AI agents via drag-and-drop, with a hands-on prompt optimization assistant tutorial covering knowledge base integration, UI building, and API access.
TutorialsA detailed guide to Lyra Prompt Optimizer's methodology and practical usage. Its four-stage framework helps you generate structured, high-quality prompts through conversational guidance.
TutorialsDeep analysis of Prompt Engineering core methodology: from LLM principles to the three key principles of specific, rich, and unambiguous prompts, plus programming advantages in the AI era.
TutorialsPractical guide to batch AI image generation on Mac using Draw Things, covering prompt iteration strategies, negative prompt pitfalls, performance tips, and the decision to switch to Replicate cloud platform.
Context Engineering in Practice with C…
Learn how to apply Context Engineering in CodeBuddy IDE using two custom rule files — a Requirements-to-TODO-LIST engine and a Project Execution engine — to generate complete apps with a single sentence.
AI Programming Spec Sheets: 30 Lines o…
Replace vague prompts with spec sheets—30 lines of config gets AI coding right the first time. Covers the six-element framework, three-tier boundaries, and three iron rules to eliminate rework.
DeepSeek V3 + bolt.html: A Practical G…
Learn how DeepSeek V3-0324 and open-source tool bolt.html combine to generate beautiful HTML pages with zero code using prompt engineering techniques.
Universal AI Prompts for Mathematical …
A detailed guide to the four-stage universal AI prompt system for mathematical modeling, covering problem analysis, innovative model construction, data processing, and model solving for competitions.