yogsoth-ai Objective Definition
Translate problem context and candidate information into formal optimization objectives, binding constraints, and stakeholder trade-off preferences.
Execution
Spawns a subagent that analyzes the provided context and candidate set to produce:
- Clearly defined objectives with measurement criteria
- Binding constraints with thresholds
- Trade-off preferences indicating relative importance
Why Subagent
Objective definition requires careful analysis of context, stakeholder needs, and candidate attributes to formalize what might be implicit. This focused analytical work benefits from dedicated attention without polluting the orchestrator's context.
HARD-GATE
Output must contain at least 2 distinct objectives and at least 1 constraint. If fewer can be identified, the subagent must flag this and request clarification.
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. |