Generates AI prompts and rules for multiple model types and use cases.
npx skills add https://github.com/huGgW/dotfiles --skill prompt-generator-huggw
Please help me install this Agent Skill. Skill: prompt-generator Source: https://github.com/huGgW/dotfiles/tree/main/agent_rules/skill/prompt-generator Command: npx skills add https://github.com/huGgW/dotfiles --skill prompt-generator-huggw
This Skill provides a structured approach to creating effective AI prompts and coding agent rules, reducing guesswork and ensuring consistent results across tasks and models.
Create a complete, well-structured prompt following these guidelines to instruct an AI model on a given task.
High-intent search queries and answers about installing and using this skill.
To create structured AI prompts with chain-of-thought reasoning, apply techniques like recursive prompting, self-consistency checks, and explicit frontmatter templates to standardize prompt creation and enforce logical step-by-step model outputs.
Generating coding agent rules is best achieved by applying model-specific optimization guidance for Claude, GPT, and open models, utilizing structured design requirements and best-practice evaluation criteria to ensure consistent agent behavior.
Few-shot optimization in prompt engineering works by providing concrete examples within structured prompt templates, guiding the AI model to recognize patterns and apply chain-of-thought reasoning for accurate task execution.
Yes, you can apply role-based prompt design across model types, including Claude, GPT, and open models, using constitutional AI principles and structured templates to maintain consistent results regardless of the specific AI architecture.
AI prompts produce inconsistent results due to a lack of structured design requirements, which can be resolved by implementing explicit frontmatter, clear templates, and self-consistency checks to standardize prompt creation and evaluation.
Use recursive prompting over standard templates when tasks require complex chain-of-thought reasoning, leveraging constitutional AI principles and self-consistency checks to refine outputs beyond basic few-shot optimization examples.
vuminhieuDesign unified multimodal prompts for audio, image, and video tasks across Gemini, Imagen, and Veo.
LAI-YEN-CHUNOptimize agent prompting workflows with standardized templates and few-shot patterns.
tiancaiamaoDesign XML-tagged system prompts and agent definitions for AI assistants.
AndyAnh174Guide prompt engineering patterns and optimization techniques for LLM performance.
