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HoangNguyen0403

A collection of Agent Skills Standard and Best Practice for Programming Languages, Frameworks that help our AI Agent follow best practies on frameworks and programming laguages

hw-native-sys

A community-driven pypto implementation

hw-native-sys

A community-driven pypto implementation

obra

Use when implementing any feature or bugfix, before writing implementation code

futurewithvibe

Python implementation of [OpenClaw](https://github.com/openclaw/openclaw) - Personal AI Assistant Platform

obra

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

Alquimia-ai

Evaluate & measure your AI assistant's implementation

obra

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

n8n-io

spec-driven-development is a methodology that ensures implementation and specs remain in sync, facilitating efficient development and reducing errors.

affaan-m

agentic-engineering is an AI agent skill for engineering workflows that uses an eval-first execution loop, decomposes work into agent-sized units, and routes model tiers by task complexity to enforce quality and risk controls.

obra

subagent-driven-development is a technique that leverages fresh subagents for independent tasks, ensuring spec compliance and code quality through a two-stage review process.

filipstrand

MLX native implementations of state-of-the-art generative image models