Rowboat is a local-first AI coworker with memory, designed for operations teams. It automates repetitive tasks, remembers context, and integrates with existing workflows. Teams benefit from increased productivity and reduced manual effort.
git clone https://github.com/rowboatlabs/rowboat.gitThe rowboat skill is an innovative local-first AI coworker designed to enhance workflow automation by leveraging memory. This intermediate-level skill allows users to draft personalized emails, prepare for meetings, and organize project files based on insights from previous interactions. By utilizing accumulated knowledge, rowboat can run shell commands or scripts, making it an efficient tool for automating repetitive tasks and integrating with external tools to extend functionality. One of the key benefits of the rowboat skill is its ability to save time by streamlining various tasks that often consume valuable hours. For instance, users can quickly access relevant notes and decisions made in past meetings, ensuring they are well-prepared without having to sift through numerous documents. Additionally, the skill's capability to draft emails using insights from prior conversations allows for more personalized communication, which can significantly improve engagement and response rates. This skill is particularly beneficial for developers, product managers, and AI practitioners who are looking to enhance their productivity and automate workflows. With its medium go-to-market relevance, rowboat is suitable for teams that prioritize efficiency and are already familiar with AI automation tools. The skill's practical use cases, such as organizing evolving project files and running scripts based on historical data, make it a versatile addition to any workflow. Implementing the rowboat skill requires an intermediate understanding of AI automation and takes approximately 30 minutes. While the exact time savings are unknown, the efficiency gained through automation can lead to significant productivity boosts over time. As organizations increasingly adopt AI-first workflows, integrating a skill like rowboat can position teams to leverage AI agents effectively, ensuring they remain competitive in a rapidly evolving technological landscape.
Draft personalized emails using insights from past conversations.
Prepare for meetings by accessing relevant notes and decisions made previously.
Organize project files and documents as they evolve over time.
Run shell commands or scripts based on accumulated knowledge.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/rowboatlabs/rowboatCopy 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.
Help me summarize the key points from my recent meeting notes regarding [TOPIC] and email exchanges with [CONTACT PERSON] at [COMPANY].
### Meeting Summary: Project Update with Acme Corp **Date:** October 15, 2023 **Attendees:** John Doe, Jane Smith, Acme Team #### Key Points Discussed: - **Project Timeline:** The project is currently on track to meet the Q4 deadline. - **Budget Concerns:** Acme Corp expressed concerns about exceeding the initial budget due to unexpected expenses. - **Next Steps:** - John will send a revised budget proposal by October 20. - Jane will follow up with the Acme team regarding their feedback on the prototype. #### Action Items: - [ ] John: Send revised budget proposal - [ ] Jane: Follow up with Acme team
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