claude-code-prompt-coach-skill
🥈SilverAnalyzes Claude Code session logs to provide insights on coding patterns, token usage, productivity, and prompt quality. Helps developers improve efficiency and effectiveness in their coding workflows.
133100Updated Today
Intermediate30min to implementautomation
Saves ~30 min per use
Quick InstallView Source
git clone https://github.com/hancengiz/claude-code-prompt-coach-skill.gitWorks with:
Claude
Overview
About This Skill
Analyzes Claude Code session logs to provide insights on coding patterns, token usage, productivity, and prompt quality. Helps developers improve efficiency and effectiveness in their coding workflows.
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/hancengiz/claude-code-prompt-coach-skillRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as a code prompt coach for [COMPANY], a [INDUSTRY] company. I need help writing a prompt to automate [TASK] using [TECHNOLOGY]. The prompt should be clear, specific, and include any necessary constraints or formatting requirements. Provide me with a well-structured prompt that I can use to generate the desired output.
Example Output
# Code Prompt for Automating Data Analysis Report Generation **Objective**: Automate the generation of a weekly data analysis report for the marketing department. **Prompt**: "Analyze the following dataset containing [DATA] from the past week. Generate a comprehensive report with the following sections: 1. Executive Summary 2. Key Metrics and Trends 3. Detailed Analysis 4. Recommendations Format the report in Markdown with clear headings and bullet points. Include relevant charts and graphs. Ensure the analysis is data-driven and actionable. The report should be concise, no more than 1,000 words." **Constraints**: - Use Python and Pandas for data analysis. - Include at least 3 visualizations. - Highlight any significant outliers or anomalies. - Provide actionable insights based on the data. **Output Format**: Markdown **Tone**: Professional and concise.
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