A GitHub automation toolkit powered by machine learning.
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Git Manager helps teams transform dense technical documents into structured, actionable GitHub tasks. Instead of manually parsing requirements, our system automates task creation with clear instructions, labels, and dependencies.
Core Features (MVP):
- Automated Task Breakdown → Converts documents into granular GitHub issues.
- Dependency Mapping → Ensures tasks are linked correctly (blocked by / prerequisite of).
- Labeling Conventions → Applies consistent labels across tasks for smooth project tracking.
Future releases will extend this foundation with specialized models for categorization, prioritization, and full automation of GitHub workflows.
Warning
This project is in early development and not yet functional.
Once released, installation instructions and setup steps will be documented here.
Caution
Active development in progress. Features may change rapidly.
The end goal is simple:
- Provide a technical document as input.
- Automatically generate GitHub issues with metadata.
- Manage project flow directly in GitHub Projects.
- MVP: Convert dense documents into structured GitHub tasks with metadata and dependencies.
- v2: Generate branch name from conventions and issue title.
- v3: Fill out PR body according to issue and changes.
See the open issues for proposed features and known issues.
Contributions are always welcome! Please check out our Contribution Guide for details on the process.
Distributed under the Mozilla Public License Version 2.0 License. See LICENSE file for more information.
- GitHub Projects → Inspiration for structured task management.
- Hugging Face Transformers → Key library for NLP and model training.
- Open-source community → Foundation for this project’s tools and practices.