Browse Skills

Leverage proven prompt engineering patterns from rmynhdaris to optimize AI model outputs for clarity, accuracy, and desired results.

Generates vector representations (embeddings) of text, enabling semantic similarity searches and powerful AI applications like clustering & recommendation.

Provides LLMs guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for building AI and machine learning applications.

Provides API guidance and assistance for building AI and machine learning applications.

This skill allows you to interact with APIs using OpenAI’s powerful language model, streamlining data integration and automation tasks.

Refines user prompts to maximize AI model output quality, clarity, and relevance through iterative adjustments.

This tool refines your English prompts for AI models, boosting response quality and clarity – saving you time & improving results!

This AI generates personalized resumes based on your experience and target job, boosting your chances of landing an interview.

Rag Observability Evals — provides AI agent assistance for software development workflows.

Helps with AI, API as part of building AI and machine learning applications workflows.

This skill assesses LLM outputs using AgentCore's framework, providing structured evaluations for improved reasoning and alignment.

This skill teaches you how to craft effective prompts for AI models, maximizing their output quality and usefulness for your specific needs.

Prompt Engineering — provides AI agent assistance for software development workflows.

Provides best practices guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for software development workflows.

Generates detailed images from text prompts using advanced diffusion models, offering creative visual interpretations.

Leverages Alibaba's Spring AI framework to enhance conversational capabilities and integrate large language models.

Fusengine's fusengine-prompt-optimization refines prompts to maximize LLM output quality, accuracy, and relevance for improved results.

Fine-tunes generative AI outputs by adjusting parameters for improved quality, relevance, and adherence to specified constraints.

Helps with LLMs, integration as part of building AI and machine learning applications workflows.

Generates detailed building designs and construction plans from textual descriptions using large language models.