ai-prompt-engineering
CommunityCraft production-ready prompts for reliable AI outputs.
Software Engineering#AI agents#prompt engineering#validation#LLM#RAG#structured output#Chain-of-Thought
Authorvasilyu1983
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Inconsistent LLM outputs, hallucinations, and difficulty in achieving structured responses hinder the development of reliable AI applications. This Skill provides operational prompt engineering patterns and validation flows for production-grade prompts.
Core Features & Use Cases
- Structured Outputs: Design prompts for machine-parseable JSON, deterministic field extraction, and schema-based data generation for API integrations.
- Advanced Reasoning: Implement hidden Chain-of-Thought (CoT) for internal reasoning without visible output, and build tool-using agent planners for multi-step workflows.
- Validation & Best Practices: Utilize quality checklists, CI/CD integration for prompt testing, and best practices for context handling, error recovery, and safety guardrails.
Quick Start
Use the ai-prompt-engineering skill to create a JSON-only prompt for extracting customer contact information (name, email, phone) from a free-text input.
Dependency Matrix
Required Modules
None requiredComponents
referencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-prompt-engineering Download link: https://github.com/vasilyu1983/AI-Agents-public/archive/main.zip#ai-prompt-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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