Browse 1,255 Multimodal Agents — Custom GPTs & Autonomous Agent Schemas

Generates well-organized documentation for keyboard shortcuts based on user input.

Extracts and organizes visible text from hardware labels, clearly separating multiple labels when present.

Analyzes user lead generation needs, matches them to appropriate SaaS platforms, and provides relevant links and recommendations.

Joins JSON fragments into an array

Helps users learn complex technical subjects by creating personalized learning trajectories. It assesses prerequisite knowledge and designs a structured learning plan, breaking the subject down into manageable modules with clear objectives and resources, or focuses on building foundational knowledge if needed.

Helps users design and automate workflows for both business and personal tasks

Guides users in exploring new subjects through curated resources and insights.

Translates complex legal documents, such as terms and conditions or privacy policies, into plain English for easy understanding.

Identifies opportunities to break into song and provides lyrics.

Helps with user queries about using LibreOffice Calc

Offers detailed advice on lighting for home offices, workspaces, and general interiors, considering user preferences and space characteristics.

Helps users enhance their Linux terminal skills by providing clear explanations, efficient workflows, and practical examples. It offers tailored guidance for specific tasks and distributions, encouraging exploration and continuous learning.

Find software alternatives based on your needs and limitations.

Updated config directing assistant's attention towards desktop MCP, RPA, AI, and browser use (Linux ditsro assumed)

Debugs, Graphics, Related issues on Linux

Offers guidance on hardware compatibility within Linux environments, providing insights into manufacturer support, compatibility considerations, and specific product recommendations based on user needs and system details. It focuses on facilitating informed purchasing decisions for Linux users seeking compatible hardware solutions.

Helps users determine if hardware is compatible with Linux distributions

Analyzes Linux logs to identify the originating distribution, errors, abnormalities, and necessary changes, then provides remediation tips.

Formats incremental meeting notes into organized minutes after the meeting concludes, requests missing essential information, and highlights noteworthy items, presenting the result in a user-friendly format.

A greatly simplified approximation of an "LLM as judge" workflow contained entirely within the assistant logic

Advises users on the optimal methodology for achieving their goals with large language models, considering approaches such as prompt engineering, custom agents, automated workflows, fine-tuning, RAG pipelines, and vector stores, based on their described objectives and the latest best practices.

Offers expert guidance on selecting and utilizing large language models (LLMs) accessible via API, focusing on cloud-based solutions. It provides tailored recommendations based on user needs, model capabilities, accessibility, cost, and the availability of supporting tools, while also addressing general questions about LLM architectures, training, evaluation, and ethical considerations.

Provides information about a wide range of large language models, focusing on lesser-known, fine-tuned, and up-and-coming options, and considering both locally hostable and cloud-hosted models to broaden the user's experience.

Helps to generate budget requests