Zentrun transforms natural language into executable workflows. Operations teams automate tasks by describing them in plain English. Connects to Slack, APIs, and other tools without complex setup.
git clone https://github.com/andrewsky-labs/zentrun.gitZentrun transforms plain English descriptions into fully functional automation workflows that run locally on your machine. Unlike traditional automation platforms that require configuration, API keys, and workflow builders, Zentrun uses AI code generation to handle data collection, analysis, scheduling, and reporting from a single prompt. It leverages your existing browser sessions to access logged-in services, integrates local databases (SQLite/DuckDB) for analytics, and supports ML model training with scikit-learn and TensorFlow. Teams use it for daily reports, competitive monitoring, customer intelligence, content operations, and business intelligence pipelines—all executable immediately without manual setup.
Install Zentrun on Windows, macOS, or Linux from the downloads page, or build from source with `git clone` and `yarn`. Describe your automation in natural language (e.g., 'Summarize my unread emails from today'). Zentrun generates and executes the workflow in your browser using your existing login sessions—no additional configuration needed.
Collect daily sales data, compare to targets, and send executive summaries to Slack
Monitor competitor websites for pricing changes and analyze competitive impact
Analyze customer support tickets, classify by urgency, and predict escalation needs
Track trending topics, generate content ideas, schedule posts, and measure engagement
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/andrewsky-labs/zentrunCopy 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.
Create a workflow that [ACTION] [DATA] from [SOURCE] to [DESTINATION]. The workflow should run [FREQUENCY] and notify [PERSON] via Slack when complete. Use the [TOOL] API for the data transfer.
# Workflow: Daily Sales Report to Slack ## Trigger - **Frequency**: Daily at 9:00 AM - **Condition**: No condition ## Actions 1. **Fetch Sales Data** - **Source**: Salesforce API - **Parameters**: Yesterday's sales data 2. **Format Data** - **Format**: Markdown table 3. **Send Notification** - **Recipient**: #sales-team - **Message**: "Yesterday's sales report is ready" ## Notifications - **Success**: Notify #sales-team via Slack - **Failure**: Notify #tech-support via Slack ## Tools - **Salesforce API**: v52.0 - **Slack API**: v2.0
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