Construct posterior belief graphs for research ideas using gaia-lang.
npx skills add https://github.com/fkguo/nullius --skill idea-posterior
Please help me install this Agent Skill. Skill: idea-posterior Source: https://github.com/fkguo/nullius/tree/main/skills/idea-posterior Command: npx skills add https://github.com/fkguo/nullius --skill idea-posterior
This Skill facilitates the construction and audit of posterior beliefs about research ideas, ensuring the transparency and reliability of belief formation.
Use the idea-posterior skill to construct a posterior belief for the research idea "Quantum Computing in AI".
High-intent search queries and answers about installing and using this skill.
To construct posterior beliefs for research ideas, use this Skill to automatically build and manage belief graphs based on the provided evidence. It applies Gaia argument graph language to ensure transparency and reliability in belief formation.
Managing and updating belief graphs for a research portfolio requires maintaining individual belief layers for each idea. This Skill enables you to construct these graphs and automatically update posterior beliefs as new evidence emerges.
Yes, you need the gaia-lang dependency and its related libraries to build and manage argument graphs for evidence aggregation. This Skill requires the Gaia language framework to construct and audit posterior beliefs.
Posterior construction for idea validation works by aggregating provided evidence into structured belief graphs. The Skill uses the Gaia argument graph language to process evidence and form transparent posterior beliefs about research ideas.
Yes, you can use this Skill for evidence aggregation across multiple research ideas through its belief layer management capability. It maintains and updates individual belief graphs for each research idea in your portfolio.
You should audit posterior beliefs using an argument graph approach when reviewing new research ideas to ensure belief formation transparency. This Skill facilitates constructing and auditing these beliefs as new evidence emerges.
SiliconEinsteinAssign probabilistic priors to independent Gaia claims in priors.py.
fkguoAllocate research effort across ideas using Thompson-sampling and Laplace pseudo-counts.
lyndonklUpdate probability estimates with Bayes' Theorem as new evidence emerges.
marcosd4hGenerate structured research prompts from DeepExtractIDA analysis outputs.
