yogsoth-ai Selection from Frontier
Apply stakeholder preferences, decision criteria, and practical considerations to select a single portfolio from the Pareto front.
Execution
Spawns a subagent that evaluates Pareto front solutions against stated preferences and produces a justified selection with alternatives noted.
Why Subagent
Selection requires integrating quantitative frontier data with qualitative preferences, practical constraints, and judgment calls. This deliberative process benefits from focused reasoning.
HARD-GATE
Output must include the selected portfolio, explicit justification referencing frontier position, and at least one noted alternative with explanation of what would be gained/lost by choosing it instead.
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. |