AI & Machine Learning skills

Crafts highly effective prompts for Anthropic's Claude models to maximize output quality and achieve desired results.

Verifies text aligns with Anthropic's safety guidelines, flagging potential policy violations for review and mitigation.

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

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

This Prompt Engineer skill helps craft optimized prompts for AI models, boosting response quality and achieving desired outputs effectively.

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

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

Simulates RL environments using UV Miles data for robust agent training and improved performance in realistic scenarios.

Uv Moe Training guides AI models to generate charming, cute (moe) aesthetics and styles for creative content generation.

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

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

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

This skill generates vector embeddings of text, enabling semantic similarity searches and powering advanced AI applications like recommendation systems.

Suno Prompt Architect crafts optimized prompts for stunning AI-generated audio, boosting creativity and results effortlessly.

Eval Relevance assesses how well a given query matches a document’s content, boosting search accuracy and information retrieval effectiveness.

Analyzes text to assess emotional tone and empathy levels, providing insights for improved communication and understanding.

Evaluates a core system’s performance against a predefined scorecard, identifying key strengths and weaknesses for targeted improvement.

This skill assesses how actionable a given guidance response is, ensuring outputs are practical and directly useful for users.

Evaluates if a language model’s responses stay within defined boundaries, ensuring safety and relevance for reliable outputs.

Build custom LangChain agents with pre-configured tools and memory for complex task automation.

This skill generates a detailed scorecard evaluating AI session performance based on key metrics, optimizing for better results and insights.

Eval Clarity assesses text for readability and understanding, ensuring clear communication and reducing ambiguity in outputs.

Evaluates conversational flows for quality & efficiency, identifying potential issues and suggesting improvements to optimize interactions.

This skill enforces consistent commit message formatting, improving code review efficiency and project maintainability by automating style guidelines.

Helps with data transformation, code generation, image processing as part of agent workflows workflows.