Proofloop is an AI orchestrator that runs tasks until completion. Define success criteria, pause execution, and resume with verified results. Supports OpenCode, Codex, and Claude Code. Ideal for operations teams automating repetitive coding tasks.
git clone https://github.com/exiw-ai/proofloop.gitproofloop is an innovative AI orchestrator designed to automate tasks until a defined goal is achieved. Users can specify what 'done' means for their projects, allowing the AI to intelligently manage workflows. Once initiated, proofloop can go to sleep and later wake up to deliver verified results, ensuring that your automation processes are both efficient and reliable. This skill supports various coding frameworks, including OpenCode, Codex, and Claude Code, making it versatile for different development environments. The key benefits of using proofloop lie in its ability to streamline complex workflows and reduce manual oversight. By automating the orchestration of tasks, developers and product managers can save significant time, allowing them to focus on higher-level strategic initiatives. While the exact time savings are currently unknown, the potential for increased productivity is clear, especially in environments where task completion is critical. This skill is particularly suited for developers, product managers, and AI practitioners who are looking to enhance their workflow automation capabilities. Its intermediate difficulty level makes it accessible for those with some experience in AI automation, while its medium GTM relevance indicates that it can provide substantial value across various projects. Practical use cases include automating testing processes, managing deployment pipelines, or orchestrating data processing tasks, all of which can benefit from a reliable AI agent skill like proofloop. Implementation of proofloop is straightforward, requiring approximately 30 minutes to set up. Users will need a basic understanding of the supported coding frameworks to fully leverage its capabilities. As businesses increasingly adopt AI-first workflows, integrating skills like proofloop can significantly enhance operational efficiency and drive innovation. By automating repetitive tasks, teams can redirect their efforts towards more strategic objectives, ultimately leading to better outcomes and faster project delivery.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/exiw-ai/proofloopCopy 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 Proofloop script to automate the following task for [COMPANY] in the [INDUSTRY] sector: [DESCRIBE TASK]. The success criteria are: [LIST CRITERIA]. Pause execution if [CONDITIONS] and resume when [CONDITIONS MET]. Use [CODEX OR CLAUDE CODE] for execution.
# Proofloop Automation Script ## Task: Database Backup Automation ### Success Criteria: - Daily backups completed successfully - Backups stored in secure cloud location - Backup logs generated and emailed to team ### Execution Flow: 1. Initiate backup process at 2:00 AM daily 2. Pause if database connection fails 3. Resume when connection is restored 4. Verify backup integrity 5. Generate and email logs ### Supported Tools: - OpenCode for initial backup - Claude Code for verification ### Output: ``` Backup completed successfully at 2023-11-15 02:15 AM Backup size: 4.2 GB Stored in secure cloud location Verification: 100% data integrity Logs emailed to team ```
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