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doanchienthangdev AI Skills

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Browse published AI skills maintained by doanchienthangdev. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

128

Repository stars across indexed skills

384

Repository forks

128

Average repository stars per indexed skill

3

Repository stars may repeat across skills from the same repository.

128 skills

Browse skills

GitHub

training-data

doanchienthangdev

Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.

GitHub

advanced-ui-design

doanchienthangdev

Agency-grade interface design with systematic aesthetic framework (BEAUTIFUL → RIGHT → SATISFYING → PEAK)

GitHub

testing-with-pytest

doanchienthangdev

Claude writes comprehensive Python tests using pytest. Use when writing unit tests, creating fixtures, parametrizing tests, mocking dependencies, testing async code, or setting up CI test pipelines.

GitHub

deep-learning-primer

doanchienthangdev

Deep learning foundations including neural network basics, backpropagation, optimization, regularization, and training best practices.

GitHub

building-3d-graphics

doanchienthangdev

Claude builds immersive 3D web experiences with Three.js and React Three Fiber. Use when creating WebGL scenes, 3D animations, shaders, or physics simulations.

GitHub

test-enforcement

doanchienthangdev

The agent enforces mandatory test completion before any task or feature can be marked as done, ensuring code quality through strict validation gates and evidence-based completion criteria.

GitHub

robust-ai

doanchienthangdev

Building robust AI systems including model monitoring, drift detection, reliability engineering, and failure handling for production ML.

GitHub

rails

doanchienthangdev

Enterprise Ruby on Rails development with Active Record, API mode, testing, and production patterns

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.