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.gitRIPER-5 provides a context-efficient workflow framework for Claude Code projects that separates development into five distinct phases: research, innovation, planning, execution, and review. The system uses custom slash commands and subagents to enforce structured decision-making, preventing premature implementation before understanding the problem space. It reduces token usage through specialized agents, maintains clear documentation of technical decisions, and enables reproducible development processes. Teams managing complex features, architectural changes, or critical code refactoring benefit from the enforced planning discipline. The memory bank system persists plans and decisions across sessions, allowing teams to reference prior work and avoid duplicated analysis.
Copy the .claude directory to your project root and customize project-info.md and riper-config.json with your project details. Start with `/riper:strict` to enable strict protocol enforcement, then guide your workflow through `/riper:research`, `/riper:plan`, `/riper:execute`, and `/riper:review` commands. Use `/memory:save` to persist context between sessions.
Managing complex multi-step feature development with clear approval gates
Refactoring critical code with documented planning and review steps
Implementing architectural changes with enforced separation of concerns
Building reproducible development workflows across team members
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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