Individual skill
model-selection
Per-agent model selection with 4-layer hierarchy and fallback chains
.copilot/skills/model-selection/SKILL.md
Source commit 12fbcb5ac4b4075abb5d2ce743f4ba1be77e0200
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- Matches the observed repository HEAD
- Yes
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- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 3, 2026
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- Repository last updated
- Nov 6, 2026
- License
- MIT
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- ai Repository topic
- cli Repository topic
- copilot Repository topic
- developer-tools Repository topic
- github-copilot Repository topic
- multi-agent Repository topic
- typescript Repository topic
- engineering Derived category
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SKILL.mdcore · 8,047 bytes
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## Context
Before spawning an agent, the coordinator determines which model to use. This skill codifies the 4-layer hierarchy, role-to-model mappings, task complexity adjustments, and fallback chains. Applies to all agent spawns in Team Mode.
## Patterns
### 4-Layer Hierarchy
Check these layers in order — first match wins:
**Layer 1 — User Override:** Did the user specify a model? ("use opus", "save costs", "use gpt-5.3-codex for this"). If yes, use that model. Session-wide directives ("always use haiku") persist until contradicted.
**Layer 2 — Charter Preference:** Does the agent's charter have a `## Model` section with `Preferred` set to a specific model (not `auto`)? If yes, use that model.
