Browse skills

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

Helps with Anthropic, UI components as part of agent workflows workflows.

Provides AI guidance and assistance for software development workflows.

Dynamically injects Claude's responses into mobile web pages via a lightweight JavaScript library for seamless integration.

Adversarial Machine Learning identifies vulnerabilities in AI models by crafting malicious inputs to expose weaknesses – crucial for robust and secure systems.

Helps with Excel/spreadsheets, OpenAI as part of building AI and machine learning applications workflows.

This skill uses LLMs to crawl and extract specific text content from websites, saving you time on data gathering.

Lora generates diverse, creative text prompts for various AI models, boosting output variety and sparking imaginative content creation.

This skill enables the AI to recognize and replicate patterns in data, boosting its ability to predict outcomes and generate similar content effectively.

Perplexity analyzes text for nuanced understanding & identifies subtle contradictions or ambiguities – useful for deeper insights and critical evaluation.

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

This skill automates ML model deployment to various platforms, streamlining workflows and accelerating time-to-value for your AI solutions.

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

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

World Labs Text Prompt — provides AI agent assistance for software development workflows.

Provides image processing guidance and assistance for software development workflows.

Helps with OpenAI, Python as part of software development workflows workflows.

Provides LLMs guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for software development workflows.

Analyzes ship performance data to predict optimal upgrades and modifications for improved efficiency and capabilities.

Assess LLM outputs based on provided criteria like accuracy, relevance, and safety, generating detailed feedback reports.

Automatically establishes baseline performance metrics for AI models based on historical data and industry standards.

Dynamically refines prompt context using Bilalmk's techniques to improve AI response accuracy and relevance.

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