yogsoth-ai Pareto Visualization
Transform the Pareto front data into a visual representation and narrative that makes trade-offs between objectives intuitive for decision-makers.
Execution
Spawns a subagent that produces visualization data (coordinates, labels, regions) and a natural-language narrative explaining the trade-off landscape.
Why Subagent
Visualization requires translating abstract multi-dimensional data into comprehensible representations with appropriate framing for the audience. This interpretive work benefits from focused attention.
HARD-GATE
Output must include both structured visualization data and a trade-off narrative. The narrative must reference specific points on the frontier and explain what is gained/lost moving between them.
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |