Browse skills

Helps with LLMs, code review as part of software development workflows workflows.

Generates creative text formats like poems, code, scripts, musical pieces, email, letters, etc., based on user prompts.

Crafts optimized prompts for various AI models to maximize output quality and achieve desired results.

Automates complex LangChain pipeline creation and optimization using a modular, self-documenting architecture for enhanced AI workflows.

Automatically refines model parameters to maximize performance based on provided data and objectives.

Execute Python code within Jupyter Notebooks using OpenAI's models, enabling interactive data exploration and model experimentation.

Captures website screenshots using OpenAI's vision models, enabling visual data extraction and analysis from web pages.

Generates diverse text content using LLMs – ideal for creative writing, brainstorming, and rapid content creation needs.

This skill provides a versatile placeholder for integrating custom logic and functionality into your AI agent, offering flexibility and adaptability.

This skill automatically constructs knowledge graphs from text data, streamlining information organization and analysis for deeper insights.

Automates NLP pipeline creation from data ingestion to model deployment, streamlining DevOps workflows for text analysis projects.

Provides video guidance and assistance for software development workflows.

Analyzes AI outputs for potential harms like bias, toxicity, or misinformation, flagging risks for review.

Provides code review guidance and assistance for software development workflows.

Provides code review guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for software development workflows.

Refines user prompts for better AI responses by suggesting clearer phrasing and context – boosting output quality and accuracy.

This tool creates vector embeddings from text, enabling semantic search and understanding within AI applications.

Analyzes domain-specific text data using machine learning to extract insights and identify trends for improved decision-making.

This skill provides a robust Rag (Retrieval-Augmented Generation) implementation for seamless integration of external knowledge into AI responses.

Transcribes audio into text using OpenAI's Whisper model for accurate speech-to-text conversion and analysis.

Optimizes Anthropic Claude prompts for improved response quality, conciseness, and adherence to specified instructions.

This skill utilizes PyTorch, a powerful deep learning framework, enabling users to build and train complex neural networks efficiently.

This skill utilizes Transformer models for advanced text generation, offering nuanced and creative responses beyond simple keyword matching.