Advanced 사용자 정의 프롬프트 Tools for Professionals

Discover cutting-edge 사용자 정의 프롬프트 tools built for intricate workflows. Perfect for experienced users and complex projects.

사용자 정의 프롬프트

  • Integrate PDFs with Claude.ai effortlessly using this Chrome extension.
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    What is Doc to Claude?
    Doc to Claude is a powerful Chrome extension designed to streamline the process of integrating PDFs with Claude.ai's AI analysis capabilities. With this extension, users can upload PDFs directly to the Claude.ai platform with just one click, eliminating the need for manual downloads and uploads. The extension also allows users to set customizable prompts for Claude to analyze their documents. It is perfect for researchers, students, professionals, or anyone looking to save time and simplify their PDF workflows. The user-friendly interface and helpful notifications ensure a smooth experience.
  • Automate updates for your old WordPress posts and boost SEO with Freshenup.
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    What is Freshenup.io?
    Freshenup is a plugin designed for WordPress that leverages AI to provide programmatic updates to your old posts. By setting user-defined prompts, it targets and updates your content automatically, ensuring it stays current and engaging for your readers. The updates are made seamlessly, maintaining your unique writing style and preserving your voice. Freshenup offers a cost-effective and efficient way to boost SEO without raising AI red flags, making it an ideal tool for bloggers and website owners looking to keep their content fresh effortlessly.
  • GAMA Genstar Plugin integrates generative AI models into GAMA simulations for automatic agent behavior and scenario generation.
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    What is GAMA Genstar Plugin?
    GAMA Genstar Plugin adds generative AI capabilities to the GAMA platform by providing connectors to OpenAI, local LLMs, and custom model endpoints. Users define prompts and pipelines in GAML to generate agent decisions, environment descriptions, or scenario parameters on the fly. The plugin supports synchronous and asynchronous API calls, caching of responses, and parameter tuning. It simplifies the integration of natural language models into large-scale simulations, reducing manual scripting and fostering richer, adaptive agent behaviors.
  • Graph-centric AI agent framework orchestrating LLM calls and structured knowledge through customizable language graphs.
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    What is Geers AI Lang Graph?
    Geers AI Lang Graph provides a graph-based abstraction layer for building AI agents that coordinate multiple LLM calls and manage structured knowledge. By defining nodes and edges representing prompts, data, and memory, developers can create dynamic workflows, track context across interactions, and visualize execution flows. The framework supports plugin integrations for various LLM providers, custom prompt templating, and exportable graphs. It simplifies iterative agent design, improves context retention, and accelerates prototyping of conversational assistants, decision-support bots, and research pipelines.
  • Hunch is an AI Agent for generating creative and professional content quickly.
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    What is Hunch?
    Hunch is an AI Agent that specializes in generating creative content efficiently. Users can interact with Hunch to create high-quality written material, generate images based on specific prompts, and customize outputs to fit their needs. Hunch leverages cutting-edge AI technology to help individuals and businesses streamline their content creation process, dramatically reducing the time and effort involved in producing engaging materials.
  • Bring AI to every website with the Inline AI Chrome extension.
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    What is Inline AI - AI Everywhere?
    Inline AI is a versatile Chrome extension that integrates the capabilities of Chat GPT into your web browsing experience. Whether you need to run quick prompts, correct grammatical errors, or translate text, Inline AI provides these functionalities effortlessly. With easy right-click access and customizable prompt options, this extension enhances your productivity and writing skills. By downloading Inline AI, users can unlock the full potential of AI directly from their browser, making every interaction more efficient and intelligent.
  • Integrate autonomous AI assistants into Jupyter notebooks for data analysis, coding help, web scraping, and automated tasks.
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    What is Jupyter AI Agents?
    Jupyter AI Agents is a framework that embeds autonomous AI assistants within Jupyter Notebook and JupyterLab environments. It allows users to create, configure, and run multiple agents capable of executing a range of tasks such as data analysis, code generation, debugging, web scraping, and knowledge retrieval. Each agent maintains contextual memory and can be chained together for complex workflows. With simple magic commands and Python APIs, users integrate agents seamlessly with existing Python libraries and datasets. Built on top of popular LLMs, it supports custom prompt templates, agent-to-agent communication, and real-time feedback. This platform transforms traditional notebook workflows by automating repetitive tasks, accelerating prototyping, and enabling interactive AI-driven exploration directly in the development environment.
  • An AI-driven RAG pipeline builder that ingests documents, generates embeddings, and provides real-time Q&A through customizable chat interfaces.
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    What is RagFormation?
    RagFormation offers an end-to-end solution for implementing retrieval-augmented generation workflows. The platform ingests various data sources, including documents, web pages, and databases, and extracts embeddings using popular LLMs. It seamlessly connects with vector databases like Pinecone, Weaviate, or Qdrant to store and retrieve contextually relevant information. Users can define custom prompts, configure conversation flows, and deploy interactive chat interfaces or RESTful APIs for real-time question answering. With built-in monitoring, access controls, and support for multiple LLM providers (OpenAI, Anthropic, Hugging Face), RagFormation enables teams to rapidly prototype, iterate, and operationalize knowledge-driven AI applications at scale, minimizing development overhead. Its low-code SDK and comprehensive documentation accelerate integration into existing systems, ensuring seamless collaboration across departments and reducing time-to-market.
  • LangGraph MCP orchestrates multi-step LLM prompt chains, visualizes directed workflows, and manages data flows in AI applications.
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    What is LangGraph MCP?
    LangGraph MCP leverages directed acyclic graphs to represent sequences of LLM calls, allowing developers to break down tasks into nodes with configurable prompts, inputs, and outputs. Each node corresponds to an LLM invocation or a data transformation, facilitating parameterized execution, conditional branching, and iterative loops. Users can serialize graphs in JSON/YAML format, version control workflows, and visualize execution paths. The framework supports integration with multiple LLM providers, custom prompt templates, and plugin hooks for preprocessing, postprocessing, and error handling. LangGraph MCP provides CLI tools and a Python SDK to load, execute, and monitor graph-based agent pipelines, ideal for automation, report generation, conversational flows, and decision support systems.
  • AI-powered editor for flawless translations and text edits.
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    What is Lingoedit?
    LingoEdit is an advanced AI-powered translation and editing tool designed to help users communicate effortlessly across multiple languages. It offers custom prompt fields, translation history views, and superb text editing capabilities. Whether you're translating large documents or refining textual content, LingoEdit provides a seamless and efficient workflow. Its AI-driven approach not only enhances translation accuracy but also ensures that your text edits are precise and impactful.
  • An open-source Python framework to build, test and evolve modular LLM-based agents with integrated tool support.
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    What is llm-lab?
    llm-lab provides a flexible toolkit for creating intelligent agents using large language models. It includes an agent orchestration engine, support for custom prompt templates, memory and state tracking, and seamless integration with external APIs and plugins. Users can write scenarios, define toolchains, simulate interactions, and collect performance logs. The framework also offers a built-in testing suite to validate agent behavior against expected outcomes. Extensible by design, llm-lab enables developers to swap LLM providers, add new tools, and evolve agent logic through iterative experimentation.
  • An open-source Python framework to orchestrate tournaments between large language models for automated performance comparison.
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    What is llm-tournament?
    llm-tournament provides a modular, extensible approach for benchmarking large language models. Users define participants (LLMs), configure tournament brackets, specify prompts and scoring logic, and run automated rounds. Results are aggregated into leaderboards and visualizations, enabling data-driven decisions on LLM selection and fine-tuning efforts. The framework supports custom task definitions, evaluation metrics, and batch execution across cloud or local environments.
  • LORS provides retrieval-augmented summarization, leveraging vector search to generate concise overviews of large text corpora with LLMs.
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    What is LORS?
    In LORS, users can ingest collections of documents, preprocess texts into embeddings, and store them in a vector database. When a query or summarization task is issued, LORS performs semantic retrieval to identify the most relevant text segments. It then feeds these segments into a large language model to produce concise, context-aware summaries. The modular design allows swapping embedding models, adjusting retrieval thresholds, and customizing prompt templates. LORS supports multi-document summarization, interactive query refinement, and batching for high-volume workloads, making it ideal for academic literature reviews, corporate reporting, or any scenario requiring rapid insight extraction from massive text corpora.
  • Effortlessly manage and insert prompts for AI chatbots.
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    What is MagicFridays Prompt List?
    The MagicFridays Prompt List allows users to easily create, store, and manage their custom prompts for various AI chatbots. This extension provides a user-friendly interface that simplifies the process of interacting with AI, making it ideal for content creators, educators, and anyone leveraging AI technology for tasks. Users can effortlessly insert prompts with just a few clicks, enhancing their productivity and creativity while saving time on generating ideas.
  • A Python framework orchestrating multiple autonomous GPT agents for collaborative problem-solving and dynamic task execution.
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    What is OpenAI Agent Swarm?
    OpenAI Agent Swarm is a modular framework designed to streamline the coordination of multiple GPT-powered agents across diverse tasks. Each agent operates independently with customizable prompts and role definitions, while the Swarm core manages agent lifecycle, message passing, and task scheduling. The platform includes tools for defining complex workflows, monitoring agent interactions in real time, and aggregating results into coherent outputs. By distributing workloads across specialized agents, users can tackle complex problem-solving scenarios, from content generation and research analysis to automated debugging and data summarization. OpenAI Agent Swarm integrates seamlessly with the OpenAI API, allowing developers to rapidly deploy multi-agent systems without building orchestration infrastructure from scratch.
  • Enhance your academic writing experience in Overleaf with ChatGPT integration.
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    What is Overleaf Copilot?
    Overleaf Copilot incorporates advanced AI technologies to provide real-time writing support within the Overleaf platform. By leveraging the capabilities of ChatGPT, it enhances your writing experience by offering customizable prompts, paraphrasing options, and suggestions tailored to your academic needs. Whether you're drafting a thesis, writing a paper, or creating professional documents, Overleaf Copilot aims to boost your productivity and improve the overall quality of your work.
  • Effortlessly generate unique poems with AIEpics' AI-powered tool.
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    What is Poem Generator?
    AIEpics harnesses the power of AI to generate personalized poems using simple prompts from users. This online tool utilizes OpenAI’s ChatGPT model, enabling it to create diverse poetic forms, styles, and themes based on user inputs. With features like customizable prompts and rapid poem generation, AIEpics provides a seamless experience for both novice writers and seasoned poets. The platform stands out for its accessibility and user-friendly design, making it perfect for anyone looking to explore their poetic side, generate ideas, or create unique lyrical content effortlessly.
  • PowershellGPT is a PowerShell module enabling GPT-powered code generation, script optimization, and interactive AI sessions directly from the command line.
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    What is PowershellGPT?
    PowershellGPT is a comprehensive PowerShell extension that lets developers invoke OpenAI GPT models directly from their shell. It includes cmdlets like Invoke-ChatGPT and Get-ChatCompletion to submit prompts, receive streaming outputs, and manage conversation state. Users can define system messages, set temperature and token limits, and integrate AI responses into existing scripts or pipelines. With cross-platform support, encrypted API key storage, and customizable settings, PowershellGPT streamlines code generation, refactoring, debugging, documentation, and automation tasks by embedding GPT-driven intelligence directly into script workflows.
  • Prompters.pro offers customizable AI prompts and practical micro-trainings for generative AI users.
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    What is Prompters?
    Prompters.pro is a comprehensive platform designed to enhance your generative AI capabilities. It offers a wide range of customizable premium prompts tailored to fit various needs. Additionally, Prompters.pro provides practical micro-trainings and access to a private group where users can connect, share opinions, and learn from other AI enthusiasts. Whether you're new to AI or an experienced user, Prompters.pro aims to streamline and elevate your AI experience.
  • TinyAgent enables you to build and deploy custom AI agents for automating tasks, research, and text generation.
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    What is TinyAgent?
    TinyAgent is a low-code AI agent builder that allows anyone to design, test, and deploy intelligent agents. Define custom prompts, integrate external APIs or data sources, and configure agent memory to retain context. Once configured, agents can be used via a web chat interface, Chrome extension, or embed code. With analytics and logging, you can monitor performance and iterate quickly. TinyAgent streamlines repetitive tasks such as report generation, email triage, and lead qualification, reducing manual work and scaling team productivity.
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