ai-collaboration-standards

The 'ai-collaboration-standards' skill is designed to prevent AI hallucination and ensure responses are evidence-based when analyzing code or making suggestions. It helps maintain accuracy and reliability by classifying statements according to their certainty level and citing reliable sources. This skill is particularly valuable when working with AI in technical environments where trust and accuracy in suggestions are critical, such as software development and code review processes. It prevents the AI from fabricating information and encourages clear documentation practices by requiring evidence-based assertions and proper citations of sources.

The core features of this skill include the use of certainty tags to classify statements, ensuring that every response is tagged with its confidence level, from 'Confirmed' to 'Unknown.' It also enforces the inclusion of source types, ranging from project code to external documentation, allowing users to easily identify where the information comes from and assess its reliability. Moreover, the skill includes clear guidelines for presenting options, ensuring that when multiple choices are provided, a recommendation is always given with supporting reasoning. It is useful in scenarios where decisions must be made based on the analysis of code, as well as when the AI is asked to provide insights on complex technical matters.

This skill is particularly suited for software developers, technical documenters, and anyone involved in the technical review of code or documentation. It is also beneficial for AI researchers and teams focused on ensuring the AI's responses are grounded in actual data, avoiding speculative or unverified information.