Claude Code RIPER-5 is an automation workflow for operations teams. It enables structured development with research, innovation, planning, execution, and review phases. Connects to Claude Code for custom command execution.
git clone https://github.com/tony/claude-code-riper-5.gitClaude Code RIPER-5 is an automation workflow for operations teams. It enables structured development with research, innovation, planning, execution, and review phases. Connects to Claude Code for custom command execution.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/tony/claude-code-riper-5Copy 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.
I'm using Claude Code RIPER-5 to automate [PROCESS] for [COMPANY] in the [INDUSTRY] sector. Here's my structured workflow: 1. Research: Analyze [DATA] to identify key trends and pain points 2. Innovate: Generate 3 creative solutions for [SPECIFIC CHALLENGE] 3. Plan: Create a step-by-step implementation roadmap 4. Execute: Implement the chosen solution using Claude Code commands 5. Review: Evaluate results and suggest improvements
# Automated Customer Support Optimization for TechCorp ## Research Phase - Analyzed 6 months of customer support tickets - Identified top 3 recurring issues (account access, billing inquiries, product setup) - Found 25% of tickets could be automated ## Innovate Phase 1. AI-powered chatbot for account access requests 2. Self-service billing portal with FAQ system 3. Interactive product setup guide with troubleshooting ## Plan Phase 1. Develop chatbot prototype (Week 1-2) 2. Create billing portal mockups (Week 3) 3. Build interactive guide framework (Week 4) 4. Integration testing (Week 5) 5. Pilot launch (Week 6) ## Execution Phase ```python # Claude Code commands executed: 1. create_chatbot_template() 2. design_ui_elements() 3. implement_knowledge_base() 4. setup_analytics_tracking() ``` ## Review Phase - Chatbot resolved 60% of account access requests - Billing portal reduced inquiries by 40% - Interactive guide decreased setup calls by 30% - Recommend scaling to additional support channels
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