Prompt Line is a macOS app that enhances the prompt input experience for CLI-based AI coding agents like Claude Code, Gemini CLI, and OpenAI Codex CLI. It benefits developers by streamlining interactions with AI coding assistants, improving workflow efficiency. The app connects to terminal workflows, making it easier to manage and refine prompts for AI agents.
git clone https://github.com/nkmr-jp/prompt-line.gitPrompt Line is a macOS utility designed to streamline prompt input workflows for CLI-based AI coding agents including Claude Code, Codex CLI, and Gemini CLI. The app provides a floating window accessible via Cmd+Shift+Space that enables quick text entry and instant pasting with Cmd+Enter. It supports context-aware search and autocomplete through forward slash and @ symbols, allowing developers to search agent skills, files, code symbols, and custom contexts. All prompt history is stored locally on your Mac with no internet required, and the app is extensible via YAML-based plugins for custom search and skills.
["Install Prompt Line from the macOS App Store or [official website](https://promptline.app). Ensure it’s running in the background before starting your terminal session.","Open your terminal and navigate to your project directory using `cd [PROJECT_DIRECTORY]`.","Use the Prompt Line menu bar icon to open the app, or trigger it with a keyboard shortcut (e.g., `Cmd + Shift + P`).","Enter your initial prompt idea in the input field, such as 'Refactor this Python script to use class-based views.'","Use Prompt Line’s features to refine the prompt: add specific requirements, constraints, or project details by selecting options from the dropdown menus or typing in the refinement fields.","Copy the final refined prompt from Prompt Line and paste it directly into your terminal for use with your AI coding agent (e.g., `claude code \"[PASTE_PROMPT]\"`).","Tip: Save frequently used prompt templates in Prompt Line for quick access in future sessions. Use the 'Save as Template' feature to build a library of reusable prompts."]
Streamlining multi-turn conversations with AI coding assistants from any application
Editing voice-inputted prompts before sending to CLI AI agents
Searching and reusing previous prompts from history across different projects
Adding context references (agent skills, files, symbols) to prompts via autocomplete
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/nkmr-jp/prompt-lineCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use Prompt Line to generate a refined prompt for [AI_CODING_AGENT] to [TASK]. Start by analyzing the current project structure in [PROJECT_DIRECTORY]. Then, draft a prompt that includes [SPECIFIC_REQUIREMENTS] and [CONSTRAINTS]. Finally, optimize the prompt for clarity and conciseness using Prompt Line's features. Output the final prompt in a code block for direct use in the terminal.
Here’s a refined prompt generated using Prompt Line for a scenario where you need to refactor a Python script in a Django project: ``` Analyze the Django project in /Users/alex/myapp with the following requirements: 1. Refactor the `views.py` file to use class-based views instead of function-based views. 2. Ensure all existing tests in `/tests/` pass after refactoring. 3. Maintain backward compatibility with the existing API endpoints. 4. Optimize database queries to reduce N+1 issues in the `UserProfile` model. Provide the refactored code in a single file with clear comments explaining the changes. Include a summary of the refactoring process and any trade-offs considered. ``` Prompt Line helped me break down the task into specific, actionable steps and ensured the prompt was concise yet comprehensive. The final output was ready to paste directly into my terminal for use with Claude Code.
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