Claude Relay Service (CRS) is a self-hosted Claude code mirror that provides a unified access point for Claude, OpenAI, Gemini, and Droid subscriptions. It supports shared usage to reduce costs and enables integration with native tools.
git clone https://github.com/Wei-Shaw/claude-relay-service.githttps://github.com/Wei-Shaw/claude-relay-service
[{"step":1,"action":"Set up the Claude Relay Service (CRS) on your self-hosted server. Follow the [official documentation](https://docs.claude-relay-service.example) to configure subscriptions (Claude, OpenAI, Gemini, Droid) and enable shared usage for your team.","tip":"Use environment variables to securely store API keys for each subscription. Example: `CRS_CLAUDE_API_KEY=your_key_here`."},{"step":2,"action":"Define your workflows in CRS. For example, if you want to automate customer feedback analysis, set up a pipeline that pulls data from Slack channels, processes it using the configured AI models, and pushes results to Jira or Slack.","tip":"Start with a simple workflow (e.g., sentiment analysis) before adding complex integrations like auto-ticketing."},{"step":3,"action":"Run the CRS pipeline manually or schedule it to run automatically (e.g., daily at 9:00 AM). Monitor the output for errors or unexpected results.","tip":"Use the CRS dashboard to track API usage, costs, and performance metrics. Adjust shared usage limits if needed."},{"step":4,"action":"Review the output and take action. For example, if CRS auto-creates Jira tickets for high-priority issues, assign them to the appropriate team members and track progress.","tip":"Set up notifications in Slack or email to alert your team when new tickets or reports are generated."},{"step":5,"action":"Iterate and optimize. Analyze the effectiveness of your CRS workflows and adjust configurations (e.g., change AI models, update integration thresholds) to improve results.","tip":"Use CRS's cost-saving features like model switching (e.g., use OpenAI for complex tasks and Droid for lightweight ones) to further reduce expenses."}]
Easily manage multiple Claude accounts for collaborative projects.
Share subscription costs of Claude Code Max with friends or colleagues.
Monitor and analyze token usage for cost management and optimization.
Set up a secure environment for accessing AI services without third-party risks.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Wei-Shaw/claude-relay-serviceCopy 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.
Use the Claude Relay Service (CRS) to [TASK] across [SUBSCRIPTIONS: Claude, OpenAI, Gemini, Droid]. Configure shared usage for [TEAM/ROLE] to optimize costs. Integrate with [NATIVE_TOOLS: Slack, Jira, GitHub] if needed. Example: 'Use CRS to generate a weekly report summarizing customer feedback from Slack channels for the Product Team. Configure shared usage for 5 team members and integrate with Jira to auto-create tickets for high-priority issues.'
### Weekly Customer Feedback Report (Generated via CRS) **Summary:** - **Total Feedback Entries:** 127 (from Slack channels: #product-feedback, #customer-success, #general) - **Sentiment Breakdown:** 68% Positive, 22% Neutral, 10% Negative - **Top 3 Themes:** 1. **Feature Requests (45 entries):** Users frequently request a dark mode toggle and improved mobile navigation. 2. **Bug Reports (28 entries):** Issues with the checkout process (e.g., payment failures on Safari). 3. **Performance Concerns (15 entries):** Slow load times during peak hours. **Action Items:** 1. **Dark Mode & Mobile Navigation:** Prioritize in the next sprint (ticket: PROD-421 created in Jira). 2. **Checkout Bugs:** Assign to the frontend team (ticket: BUG-118 created in Jira). 3. **Performance Optimization:** Schedule a meeting with DevOps (ticket: PERF-07 created in Jira). **Shared Usage Stats:** - **Claude API Calls:** 42 (shared across 5 team members) - **OpenAI API Calls:** 35 (shared across 5 team members) - **Cost Savings:** ~30% reduction in API costs due to shared usage. **Integration Log:** - Slack data pulled at 9:00 AM daily. - Jira tickets auto-created for high-priority issues (threshold: sentiment score < 0.3). --- *Generated by Claude Relay Service (CRS) on 2023-11-15. Next report scheduled for 2023-11-22.*
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