Search

PythonReactSEOPDF

MalikABK AI Skills

GitHub ↗

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

Author statistics

Indexed skills

6

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

task-management

MalikABK

Comprehensive task management API development assistance using FastAPI, SQLModel, and pytest. Use when Claude needs to work with task management systems for: (1) Creating task models and database schemas, (2) I...

GitHub

pytest

MalikABK

Comprehensive pytest testing framework assistance including test creation, fixture management, parameterized testing, configuration, and advanced testing patterns. Use when Claude needs to work with pytest for:...

GitHub

sqlmodel

MalikABK

Comprehensive SQLModel development assistance including model creation, relationship handling, database operations, and integration with FastAPI. Use when Claude needs to work with SQLModel projects for: (1) Cr...

GitHub

golden-circle

MalikABK

Golden Circle framework implementation based on Simon Sinek's concept of Why, How, and What for creating meaningful projects and products. Use when Claude needs to develop projects with clear purpose, methodolo...

GitHub

fastapi

MalikABK

Comprehensive FastAPI development assistance including project setup, route creation, database integration, authentication, and deployment. Use when Claude needs to work with FastAPI projects for: (1) Creating...

GitHub

api-utils

MalikABK

Comprehensive API development utilities and helper functions for FastAPI, SQLModel, and pytest. Use when Claude needs to work with API development for: (1) Creating common API patterns and utilities, (2) Implem...

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.