AI automation skill for operations teams. Enables quick deployment of curated Claude MCP skills for workshops and self-serve setups. Connects to GitHub CLI for easy installation and customization.
git clone https://github.com/johnlindquist/claude-workshop-skills.gitThe claude-workshop-skills is an intermediate-level AI automation skill designed to streamline various tasks within your workflow. This skill enables users to automate repetitive processes, thereby enhancing productivity and efficiency. By leveraging Claude Code's capabilities, this skill helps in creating tailored automation solutions that meet specific project needs. Although the exact time savings are currently unknown, users can expect significant improvements in task management and execution speed. Key benefits of the claude-workshop-skills include the ability to reduce manual effort, minimize errors, and accelerate project timelines. For developers and product managers, this skill offers a practical way to implement automation without requiring extensive coding knowledge. The 30-minute implementation time makes it accessible for teams looking to integrate AI automation quickly into their existing workflows. This skill is particularly useful for those involved in project management, software development, and operations, as it can facilitate smoother collaboration and faster delivery of projects. Practical use cases for the claude-workshop-skills include automating data entry tasks, streamlining communication between team members, and integrating various tools for enhanced workflow automation. For instance, a product manager could utilize this skill to automate the reporting process, allowing for real-time updates without manual input. Additionally, developers can create scripts that automatically handle routine maintenance tasks, freeing up time for more complex coding challenges. With an intermediate complexity level, the claude-workshop-skills requires some familiarity with automation concepts but does not demand advanced programming skills. This makes it a suitable option for teams looking to adopt AI-first workflows without overwhelming their members. By incorporating this skill into your operations, you can ensure that your team is not only keeping pace with technological advancements but also optimizing their processes for better outcomes.
["Prepare your Gmail environment: Ensure your team has Sortd installed and configured for shared inboxes (e.g., [email protected]). Use the Sortd dashboard to set up your kanban board structure matching your sales pipeline stages.","Customize the AI skill: Replace [TEAM_NAME], [SALES_PIPELINE_STAGE], and [SOURCE_DOMAINS] in the prompt template with your specific details. Adjust urgency thresholds based on your team's response SLAs.","Deploy via GitHub CLI: Run the installation command provided in the AI output. Verify the skill is active by checking the Sortd dashboard for new AI-generated tasks and priority flags.","Monitor and iterate: Review the weekly summary report to identify bottlenecks. Use the AI's suggested next steps to adjust workflows (e.g., add more urgency rules for high-value leads).","Scale across teams: Repeat the process for other teams (e.g., customer support) by creating separate kanban boards and AI configurations. Use the GitHub CLI to manage multiple deployments efficiently."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/johnlindquist/claude-workshop-skillsCopy 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.
Deploy the Sortd AI Assistant skill for [TEAM_NAME] to automate workflows in Gmail. Configure the skill to: 1) Track email follow-ups in a kanban board for [SALES_PIPELINE_STAGE], 2) Flag high-priority leads from [SOURCE_DOMAINS] with AI urgency detection, and 3) Generate a weekly summary report of unresponded emails and overdue tasks. Use the GitHub CLI to install the curated MCP skill from the claude-workshop-skills repository.
### Sortd AI Assistant Deployment Report for Acme Corp Sales Team **Configuration Summary:** - Team: Acme Corp Sales (5 users) - Kanban Board: "Deal Flow - Q4 2023" with stages: New Lead → Contacted → Proposal Sent → Negotiation → Closed Won/Lost - AI Priority Rules: Emails from @enterprise.com or @startup.io flagged as "High Urgency" - Auto-Follow-up: 3-day reminder for unresponded emails, 7-day for stalled deals **Week 1 Performance Metrics:** - **Follow-up Efficiency:** 87% of new leads responded within 24 hours (vs. 42% pre-Sortd) - **Priority Handling:** 12 high-priority leads identified; 90% resolved within 48 hours - **Task Completion:** 142 emails converted to tasks; 68% marked complete - **Collaboration:** Shared inbox "[email protected]" processed 237 emails with 0 missed responses **Key Improvements:** 1. **Reduced Response Time:** Average first response dropped from 18 hours to 8 hours 2. **Pipeline Visibility:** Real-time kanban board shows 18 deals in negotiation stage (vs. 5 tracked previously) 3. **AI Detection:** Identified 3 complaint emails (flagged as "Urgent - Complaint") that were escalated to account managers **Weekly Summary Generated:** - Top 5 stalled deals with suggested next steps (e.g., "Follow up with CEO at @enterprise.com - last contact was 5 days ago") - List of 12 emails requiring attention (sorted by urgency) - Team workload distribution showing 3 team members over capacity **Next Steps:** - Schedule a 30-minute team training on the new kanban board workflow - Configure additional AI rules for complaint detection in client service emails - Set up automated weekly reports to be sent to the sales manager every Monday at 9 AM. *Deployment completed via GitHub CLI using command:* ```bash gh mcp install claude-workshop-skills/sortd-ai-assistant --team acme-sales --board "Deal Flow - Q4 2023" ```
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