Self-evolving multi-agent system for Claude Code. Automates workflows, improves with use. Benefits developers and operations teams. Integrates with CLI tools and workflows.
git clone https://github.com/kks0488/vibe-claude.gitThe vibe-claude skill is an innovative automation solution designed for Claude Code, focusing on creating a self-evolving multi-agent system. This skill enables developers and AI practitioners to streamline their workflows by automating complex tasks that typically require manual intervention. By leveraging advanced AI techniques, vibe-claude adapts and improves its performance over time, making it a valuable asset for teams looking to enhance their AI automation capabilities. One of the key benefits of using vibe-claude is its ability to save time and resources by automating repetitive tasks. Although the exact time savings are currently unknown, the skill's self-evolving nature suggests that it can significantly reduce the manual effort required for ongoing maintenance and optimization. This allows teams to focus on higher-level strategic initiatives rather than getting bogged down in routine operations, ultimately leading to increased productivity and efficiency. This skill is particularly suited for developers, product managers, and AI practitioners who are looking to integrate AI automation into their workflows. It can be applied across various sectors, including software development, project management, and system administration. For example, a development team could use vibe-claude to automate code reviews and testing processes, while a product manager might leverage it to optimize user feedback collection and analysis. Implementation of vibe-claude is rated as intermediate, requiring approximately 30 minutes to set up. While the skill does not have a verified status or significant existing use cases, its potential for integration into AI-first workflows is substantial. By incorporating vibe-claude into your automation strategy, you position your team to harness the power of AI agents effectively, paving the way for more intelligent and responsive systems.
["Set Up the Multi-Agent System: Open vibe-claude in your terminal and run `vibe-claude init --workflow sortd --team [TEAM_NAME]`. This will create a configuration file for monitoring Sortd triggers like email responses, task completions, and lead status changes.","Define Performance Metrics: Customize the agents to track metrics such as response time, task completion rate, and lead conversion rate. Use the prompt template to specify which metrics matter most to your team.","Deploy Agents: Run `vibe-claude deploy --agents follow-up,response-time,priority` to activate the agents. Each agent will monitor Sortd and suggest improvements based on real-time data.","Review Weekly Reports: Use the generated reports to identify bottlenecks and prioritize actions. Adjust agent rules in the configuration file to refine their behavior based on team feedback.","Iterate and Optimize: Schedule a monthly review to update agent rules and metrics. Use vibe-claude’s self-evolving capabilities to automatically suggest new optimizations based on historical data."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/kks0488/vibe-claudeCopy 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 vibe-claude to automate and optimize the following workflow in Sortd for [TEAM_NAME]: [WORKFLOW_DESCRIPTION]. Set up a multi-agent system that monitors [SPECIFIC_TRIGGERS], such as email responses, task completion, or lead status changes. Have agents suggest improvements based on [PERFORMANCE_METRICS] like response time or task backlog. Generate a weekly report summarizing [KEY_INSIGHTS] and recommend 3 actionable steps to improve efficiency. Include a breakdown of bottlenecks and prioritized next steps for the team.
### Vibe-Claude Multi-Agent Automation Report for Sortd Workflow Optimization **Team:** Sales & Client Service at Acme Corp **Workflow:** Lead follow-up pipeline in Sortd, tracking from initial email to closed deal. **Monitored Triggers:** Email responses, task completion, lead status changes, and response time. **Performance Metrics:** Average response time (currently 2.3 hours), task completion rate (78%), and lead-to-deal conversion rate (42%). #### **Agent Observations & Insights** 1. **Bottleneck Identified:** The 'Proposal Sent' stage has the highest average lead age (5.2 days) due to inconsistent follow-up. 80% of leads stall here because agents are manually tracking next steps. 2. **Inefficiency Detected:** The 'Initial Contact' stage has a 3.1-hour average response time, with 22% of emails left unanswered for over 4 hours. This delays lead progression by 1.5 days on average. 3. **Opportunity for Automation:** 65% of leads marked as 'Hot' in Sortd are not prioritized in the team’s daily standup. Agents spend 15+ minutes daily manually filtering these leads. #### **Recommended Actions** 1. **Automate Follow-Up Workflows:** Deploy vibe-claude to create a rule-based agent that triggers a 'Proposal Follow-Up' task 24 hours after a proposal is sent. The agent will also send a Slack reminder to the assigned agent if no action is taken within 48 hours. This is expected to reduce lead age in this stage by 40%. 2. **Prioritize Hot Leads:** Configure a multi-agent system to automatically tag 'Hot' leads in Sortd and push them to a dedicated 'Priority Board' in the team’s Sortd workspace. Agents will receive a daily digest of these leads via email, reducing manual filtering time by 70%. 3. **Optimize Response Time:** Introduce a 'Quick Response' agent that monitors Sortd for unanswered emails older than 2 hours. The agent will send a Slack notification to the team lead and assign the oldest email to the next available agent. This is projected to cut average response time to 1.1 hours. #### **Weekly Performance Summary** - **Lead Conversion Rate:** Improved from 42% to 48% (6% increase) after implementing agent-driven prioritization. - **Response Time:** Reduced from 2.3 hours to 1.1 hours (52% improvement). - **Task Completion Rate:** Increased from 78% to 89% due to automated reminders. **Next Steps:** - Schedule a 30-minute team training session to review the new workflows. - Monitor the 'Proposal Sent' stage for 2 weeks to validate the 40% reduction in lead age. - Gather agent feedback on the Slack reminders to refine the urgency thresholds. --- *Report generated by vibe-claude on [DATE]. For questions, contact the automation team at [email protected].*
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