Select and implement one feature per watched repository, creating a PR for each.
npx skills add https://github.com/swarm-ai-research/aeon --skill feature-swarm-ai-research
Please help me install this Agent Skill. Skill: Feature Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/feature Command: npx skills add https://github.com/swarm-ai-research/aeon --skill feature-swarm-ai-research
This skill coordinates automated feature development across multiple repositories, saving time by selecting and implementing features per repo in a single run.
Run the feature skill to process all watched repos and create a per-repo feature PRs.
High-intent search queries and answers about installing and using this skill.
To automate feature builds across multiple repositories, you need a tool that iterates through watched repos, selects a feature based on open issues, implements it, and creates a pull request. This skill coordinates autonomous feature delivery by processing all listed repositories in a single run.
You can generate pull requests for ai-build issues by running an autonomous feature delivery process. The system prioritizes open ai-build issues and yesterday's repo-actions ideas, implementing one feature per repo and shipping a PR for each.
Yes, you can ship one feature PR per repository in a single run. The process enforces per-repo isolation, ensuring that each watched repository receives exactly one implemented feature and its corresponding pull request without cross-repo interference.
The best way to manage multi-repo autonomous feature delivery is using a coordinated system that reads from a watched-repos list, implements features sequentially, logs outcomes to memory, and dispatches per-repo notifications to operators upon completion.
To track automated feature build outcomes, the system logs the results of each per-repo feature implementation to memory. It also dispatches per-repo notifications to operators, ensuring you have a persistent record of all shipped pull requests and feature delivery statuses.
To prioritize repo-actions ideas for autonomous feature implementation, the system reads yesterday's repo-actions logs and open ai-build issues. It uses these inputs to determine what feature to implement for each watched repository during its run.
Atrium-HermesAutomate feature discovery and delivery across watched repositories with PRs.
ka2kamaAutomate pull request review, feedback handling, and merge execution.
softmgAutomate GitHub Actions workflow generation and CI/CD pipeline management.
whritCoordinate cross-repository development and synchronization across multiple GitHub repositories.
