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Determines which LLM model to use for each agent spawn
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基于 SOC 职业分类
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| name | model-selection |
| description | Determines which LLM model to use for each agent spawn |
| domain | orchestration |
| confidence | medium |
| source | adapted from squad-sdk |
Determines which LLM model to use for each agent spawn.
✅ THIS SKILL PRODUCES:
model parameter for every task tool call.squad/config.json❌ THIS SKILL DOES NOT PRODUCE:
Resolution is first-match-wins — the highest layer with a value wins.
| Layer | Name | Source | Persistence |
|---|---|---|---|
| 0a | Per-Agent Config | .squad/config.json → agentModelOverrides.{name} | Persistent (survives sessions) |
| 0b | Global Config | .squad/config.json → defaultModel | Persistent (survives sessions) |
| 1 | Session Directive | User said "use X" in current session | Session-only |
| 2 | Charter Preference | Agent's charter.md → ## Model section | Persistent (in charter) |
| 3 | Task-Aware Auto | Code → sonnet, docs → haiku, architecture → opus | Computed per-spawn |
| 4 | Default | claude-sonnet-4.6 | Hardcoded fallback |
| Task Type | Model | Rationale |
|---|---|---|
| Code migration, refactoring | claude-sonnet-4.6 | Best balance of speed and code quality |
| Architecture, complex design | claude-opus-4.6 | Deep reasoning for migration planning |
| Documentation, walkthroughs | claude-haiku-4.5 | Fast, good enough for prose |
| Security review | claude-sonnet-4.6 | Needs precision for vulnerability detection |
| Infrastructure (Bicep/IaC) | claude-sonnet-4.6 | Template generation needs accuracy |
| Cost analysis | claude-haiku-4.5 | Structured output, lower complexity |
| Discovery & intake | claude-sonnet-4.6 | Classification needs broad knowledge |
| Presentation/PPTX | claude-haiku-4.5 | Slide generation is structured |
| Command | Effect |
|---|---|
| "use opus for architecture" | Sets Layer 1 override for architecture tasks |
| "always use sonnet" | Sets Layer 0b in .squad/config.json |
| "reset model preferences" | Clears Layer 0 overrides |