A 24/7 AI agent that maximizes Claude Code Pro usage via Slack. It auto-processes tasks, manages isolated workspaces, creates Git commits/PRs, and optimizes day/night usage thresholds. Ideal for operations teams to automate workflows and maintain productivity around the clock.
git clone https://github.com/context-machine-lab/sleepless-agent.gitThe sleepless-agent is an innovative AI automation skill designed to enhance the usage of Claude Code Pro through seamless integration with Slack. This 24/7 AI agent operates autonomously, allowing users to auto-process tasks, manage isolated workspaces, and create Git commits and pull requests without manual intervention. By optimizing day and night usage thresholds, it ensures that your workflow remains efficient around the clock, making it an invaluable tool for developers and AI practitioners alike. One of the primary benefits of the sleepless-agent is its ability to significantly reduce context switching and streamline task management. Users can engage with the AI in real-time for brainstorming and problem-solving, while also submitting and tracking tasks directly from Slack. This integration not only saves time but also enhances productivity by allowing multiple isolated workspaces to be managed simultaneously, making it easier to juggle parallel development tasks. Although the exact time savings are unknown, the potential for improved efficiency is clear. This skill is particularly suited for developers, product managers, and AI practitioners who are looking to optimize their workflows and leverage automation for repetitive tasks. With a medium GTM relevance, the sleepless-agent is ideal for teams that prioritize efficiency and want to maximize their use of Claude Code Pro. The ability to automatically generate Git pull requests while you sleep exemplifies how this skill can transform your development process. Implementing the sleepless-agent is classified as intermediate in difficulty, requiring approximately 30 minutes to set up. It fits seamlessly into AI-first workflows by automating routine tasks, allowing users to focus on higher-value activities. With growing interest, as evidenced by 788 GitHub stars, this skill represents a practical solution for those looking to enhance their productivity through AI automation.
["1. Define the specific tasks you want the sleepless-agent to handle, such as log analysis, report generation, or code reviews.","2. Set the timezone and operating hours that align with your team's productivity peaks.","3. Specify the actions the agent should perform using Claude Code Pro, like data processing or code commits.","4. Provide the Git repository details where the agent will push changes, ensuring it has the necessary access permissions.","5. Establish guidelines for security and efficiency, such as data encryption and access controls, to ensure smooth operation."]
Automatically generate Git pull requests for completed tasks while you sleep.
Manage multiple isolated workspaces for parallel development tasks.
Submit and track tasks directly from Slack, reducing context switching.
Optimize task execution based on day/night usage thresholds.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/context-machine-lab/sleepless-agentCopy 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 sleepless-agent for my team to manage [SPECIFIC_TASK]. The agent should run in [TIMEZONE] and prioritize tasks during [HOURS]. It should use Claude Code Pro to [PERFORM_ACTIONS] and commit changes to [GIT_REPOSITORY]. Ensure it follows [GUIDELINES] for security and efficiency.
The sleepless-agent has been successfully configured for your team. It will operate in the EST timezone, prioritizing tasks between 8 AM and 10 PM. The agent will use Claude Code Pro to analyze log files, identify anomalies, and generate automated reports. Changes will be committed to the main repository with detailed messages. The agent follows strict security protocols, including data encryption and access controls, ensuring all operations are secure and efficient.
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