A collection of Claude Code tips, tricks, and workflows to help operations teams automate tasks. Benefits users who need to quickly master Claude Code for business applications. Connects to Claude AI and Claude API.
git clone https://github.com/Njengah/claude-code-cheat-sheet.gitA collection of Claude Code tips, tricks, and workflows to help operations teams automate tasks. Benefits users who need to quickly master Claude Code for business applications. Connects to Claude AI and Claude API.
Quickly install and set up Claude Code for immediate use.
Automate code reviews by generating security and performance reports from git diffs.
Create custom commands to streamline repetitive tasks in your development workflow.
Integrate Claude Code with CI/CD pipelines for automated testing and deployment.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Njengah/claude-code-cheat-sheetCopy 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.
Generate a comprehensive cheat sheet for Claude Code. Include [SPECIFIC_TOOL_OR_FEATURE] tips, [COMMON_TASK] shortcuts, and [ADVANCED_TECHNIQUE] workflows. Focus on [SPECIFIC_USE_CASE] to help me [ACHIEVE_GOAL].
Claude Code Cheat Sheet Tips: 1. Use the `/code` command to switch to Code mode for better code handling. 2. For long code blocks, use triple backticks (```) to format them properly. 3. Use the `/export` command to save your code to a file. Shortcuts: 1. Use `Ctrl + Enter` to execute the current line of code. 2. Use `Ctrl + Shift + Enter` to execute the entire script. 3. Use `Ctrl + /` to comment or uncomment a line of code. Workflows: 1. Use the `/import` command to load a file into your session. 2. Use the `/run` command to execute a script from a file. 3. Use the `/debug` command to enter debug mode and step through your code. Use Case: Data Analysis To analyze a CSV file, use the `/import` command to load the file, then use the `/run` command to execute a Python script that analyzes the data. Use the `/debug` command to step through the script and identify any issues.
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