Welcome to my personal AI Skills repository. This collection contains custom AI instruction guides (Skills) that I have developed and use to improve AI performance, professionalism, and consistency in specialized domains like code refactoring and technical writing.
The following skills are currently available in this repository:
- Role: Software Engineering Expert & Code Refactoring Assistant.
- Key Functions:
- Architecture Optimization: Enforces flat architecture, reduces nesting, and improves module cohesion.
- Quality Control: Strictly adheres to DRY principles and async I/O optimizations; eliminates static analysis warnings (e.g., Pylance).
- Code Standards: Ensures code is readable, decoupled, and robust.
- Role: Technical Writer & Software Architecture Documentation Expert.
- Key Functions:
- Standardized Documentation: Generates structured, concisely named, and clearly layered technical documents.
- Professional Prose: Employs objective, precise, and declarative language; avoids colloquialisms.
- Strict Formatting: Enforces standard Markdown structures, prohibits emojis, and prioritizes code blocks/flowcharts (e.g., Mermaid.js) for efficient explanations.
- Role: QA Architect & Testing Strategy Consultant.
- Key Functions:
- Multi-Dimensional Analysis: Defines test priorities (P0-P2) and covers unit, integration, scenario, and non-functional testing.
- Structure & Granularity: Enforces "skeleton synchronization" between source and test directories and maintains strict function-level granularity.
- Assertion Standards: Mandates strong-feedback assertion protocols and detailed failure context for rapid troubleshooting.
- Maintenance Assets: Guides the creation of a
TEST_MANIFEST.mdto track coverage, priority matrices, and high-risk items.
You can use the content of these .md files as AI System Prompts or context references to obtain outputs that better align with professional engineering standards.
Continuously updated...