How do I start a new project using this skill?

You can use the command '/haipipe-project new project' to initiate the interactive scaffolding process for both code and example tracks.

Does it generate documentation automatically?

Yes, the 'review' and 'summarize' commands generate gap analyses, project documentation, and visual flow charts of the development process.

How does it handle task organization?

It enforces a strict two-level hierarchy where tasks cannot be flat; they must reside within specific group folders such as data processing or training.

Can it fix broken imports after reorganization?

Yes, the 'organize verify' command is specifically designed to check and help correct imports and paths following a project file move.

What is the dual-track system in Haipipe?

It manages code development (Track A) and experimental results/tasks (Track B) simultaneously to ensure that every new pipeline function has a corresponding example task.

Haipipe Project Manager

Name: Haipipe Project Manager
Author: jluo41

byjluo41

0•

Data Science & ML

Standardizes and automates project scaffolding, organization, and documentation for machine learning pipelines within the haipipe workspace.

The haipipe-project skill enforces strict organizational standards for complex machine learning projects by managing both code development and experimental task execution across two distinct tracks. It ensures structural integrity through a mandatory two-level task hierarchy and maintains synchronization between pipeline function stubs and their corresponding example tasks. This skill is ideal for researchers and AI engineers who need to maintain reproducible experiment logs, automate documentation generation, and verify imports across evolving project structures.

Key Features

010 GitHub stars

02Strict enforcement of two-level task folder hierarchies

03Post-development project summarization and flow chart creation

04Intelligent file reorganization with import path verification

05Automated dual-track project scaffolding for ML code and experiments

06Gap analysis and automated documentation generation

Use Cases

01Scaffolding a new machine learning experiment with standardized folder structures

02Performing a gap analysis to ensure code stubs match experimental examples

03Auditing and reorganizing complex research directories into a compliant layout

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jluo41/tools haipipe-project

For use in Claude.ai and ChatGPT