Render standardized ASCII diagrams for decision gaps and signals.
npx skills add https://github.com/BicameralAI/bicameral-mcp --skill gap-visualization
Please help me install this Agent Skill. Skill: gap_visualization Source: https://github.com/BicameralAI/bicameral-mcp/tree/main/skills/gap_visualization Command: npx skills add https://github.com/BicameralAI/bicameral-mcp --skill gap-visualization
Gap visualization provides a structured, visual representation for various decision gaps and signals to help teams quickly understand where alignment is missing.
Invoke gap_visualization with the latest gap and divergence data to render the corresponding ASCII diagrams.
High-intent search queries and answers about installing and using this skill.
You can visualize decision gaps by mapping edge-case gaps, divergences, and drift to standardized ASCII diagrams. This provides a structured visual representation to help teams quickly understand where alignment is missing across ingestion outputs.
Mapping data-policy gaps to standardized ASCII diagrams enforces actionability filters and appends a final roll-up line. This approach ensures only actionable gaps are visualized and capped per category for consistent onboarding.
Rendering ASCII diagrams for edge-case gaps requires invoking the visualization process with the latest gap and divergence data. The system maps each gap type to a standardized ASCII visual to highlight missing alignment.
Yes, actionability filters are enforced during gap visualization to ensure only actionable gaps are rendered. Visuals are also capped per category, and a final roll-up line is appended to summarize the divergence data.
A roll-up line is included in decision gap visualization to summarize the mapped edge-case gaps, divergences, and drift. It enforces actionability rules and provides a final overview of the actionable gaps detected in the ingestion outputs.
No special dependencies are required to map drift and divergence data into ASCII visuals. The process works directly with your latest ingestion outputs to render structured visual representations of the identified decision gaps.
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