prompt-engineering-guidance
CommunityMaster constrained LLM generation with Guidance.
Authorsharkitect-solutions
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you effectively use the Guidance library for constrained Large Language Model (LLM) generation, ensuring outputs match specific formats and structures, thereby reducing errors and improving reliability in production systems.
Core Features & Use Cases
- Structured Output: Guarantees machine-parseable outputs like JSON, dates, or enums.
- Tool Selection: Provides a decision tree to choose between Guidance, Instructor, Outlines, or native JSON mode.
- Constraint Optimization: Offers guidance on balancing constraint strictness to maintain content quality.
- Backend Configuration: Details how to configure Guidance with various API and local models.
- Use Case: When building an LLM application that must output valid JSON for downstream processing, this Skill guides you on the best approach and implementation using Guidance.
Quick Start
Use the prompt-engineering-guidance skill to understand when to use Guidance versus native JSON mode for structured output.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: prompt-engineering-guidance Download link: https://github.com/sharkitect-solutions/sharkitect-claude-toolkit/archive/main.zip#prompt-engineering-guidance Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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