Map queries across four epistemic dimensions to categorize uncertainty.
npx skills add https://github.com/MushroomFleet/DJZ-Claude-Skills --skill gnosis4d
Please help me install this Agent Skill. Skill: gnosis4d Source: https://github.com/MushroomFleet/DJZ-Claude-Skills/tree/main/source/Gnosis4D Command: npx skills add https://github.com/MushroomFleet/DJZ-Claude-Skills --skill gnosis4d
It provides a systematic method to handle complex uncertainty by categorizing knowledge across four epistemic dimensions, ensuring honest and precise AI responses.
Invoke Gnosis4D by asking Claude to map your question across the four dimensions and respond according to the identified epistemic category.
High-intent search queries and answers about installing and using this skill.
Epistemic mapping handles AI uncertainty by categorizing complex queries across four dimensions: awareness, content, knowability, and ability. This framework classifies statements into 16 distinct categories to generate honest, precise responses tailored to specific knowledge limitations.
To map a query across four epistemic dimensions, ask Claude to assess your question's awareness, content, knowability, and ability. The framework then identifies the correct epistemic category to distinguish between verification limits, authorization constraints, and actual knowledge gaps.
In AI knowledge categorization, I don't know indicates a lack of awareness or content, while I can't know reflects verification limits or authorization constraints. The four-dimensional framework uses decision protocols to distinguish these nuances and respond accurately.
Yes, using epistemic mapping requires understanding of the four-dimensional framework and the ability to articulate responses aligned with specific epistemic categories. This prerequisite ensures you can properly interpret the 16 categorized outcomes for complex queries.
Use four-dimensional epistemic mapping for managing ambiguous queries that require precise knowledge categorization, verification limits, or authorization constraints. It is specifically designed for complex questions where standard AI responses lack epistemic honesty.
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