Learn PyTorch for Deep Learning (Zero to Mastery)

v0 Prompts and Tools — ReadFile

Reads file contents intelligently - returns complete files when small, paginated chunks, or targeted chunks when large based on your query. **How it works:** • **Small files** (≤2000 lines) - Returns complete content • **Large files** (>2000 lines) - Uses AI to find and return relevant chunks based on query • **Binary files** - Returns images, handles blob content appropriately • Any lines longer than 2000 characters are truncated for readability • Start line and end line can be provided to rea

v0 Prompts and Tools — LSRepo

Lists files and directories in the repository. Returns file paths sorted alphabetically with optional pattern-based filtering. Common use cases: • Explore repository structure and understand project layout • Find files in specific directories (e.g., 'src/', 'components/') • Locate configuration files, documentation, or specific file types • Get overview of available files before diving into specific areas Tips: • Use specific paths to narrow down results (max 200 entries returned) • Combine wi

Traycer AI — grep_search

Fast text-based regex search that finds exact pattern matches within files or directories, utilizing the ripgrep command for efficient searching. Results will be formatted in the style of ripgrep and can be configured to include line numbers and content. To avoid overwhelming output, the results are capped at 50 matches. Use the include patterns to filter the search scope by file type or specific paths. This is best for finding exact text matches or regex patterns. More precise than codebase sea

Trae — search_codebase

This tool is Trae's context engine. It: 1. Takes in a natural language description of the code you are looking for; 2. Uses a proprietary retrieval/embedding model suite that produces the highest-quality recall of relevant code snippets from across the codebase; 3. Maintains a real-time index of the codebase, so the results are always up-to-date and reflects the current state of the codebase; 4. Can retrieve across different programming languages; 5. Only reflects the current state of the codeba

Trae — todo_write

Use this tool to create and manage a structured task list for your current coding session. This helps you track progress, organize complex tasks, and demonstrate thoroughness to the user. It also helps the user understand the progress of the task and overall progress of their requests.

Same.dev — task_agent

Launches a highly capable task agent in the USER's workspace. Usage notes: 1. When the agent is done, it will return a report of its actions. This report is also visible to USER, so you don't have to repeat any overlapping information. 2. Each agent invocation is stateless and doesn't have access to your chat history with USER. You will not be able to send additional messages to the agent, nor will the agent be able to communicate with you outside of its final report. Therefore, your prompt shou

Replit — shell_command_application_feedback_tool

This tool allows you to execute interactive shell commands and ask questions about the output or behavior of CLI applications or interactive Python programs. ## Rules of usage: 1. Provide clear, concise interactive commands to execute and specific questions about the results or interaction. 2. Ask one question at a time about the interactive behavior or output. 3. Focus on interactive functionality, user input/output, and real-time behavior. 4. Specify the exact command to run, including any ne

Replit — str_replace_editor

Custom editing tool for viewing, creating and editing files * State is persistent across command calls and discussions with the user * If `path` is a file, `view` displays the result of applying `cat -n`. If `path` is a directory, `view` lists non-hidden files and directories up to 2 levels deep * The `create` command cannot be used if the specified `path` already exists as a file * If a `command` generates a long output, it will be truncated and marked with `<response clipped>` * The `undo_edi