Model Selection Skill
Determines which LLM model to use for each agent spawn. Published by microsoft in frontier-ghcp-rvas.
Decision snapshot
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Documentation, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is Model Selection Skill?
Determines which LLM model to use for each agent spawn. Published by microsoft in frontier-ghcp-rvas. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Documentation use cases
Declared skill metadata
- Source file: .squad/templates/skills/model-selection/SKILL.md
Compatibility and setup
- Install or run with Copy skill directory
When to use Model Selection Skill
- Use it for documentation.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/frontier-ghcp-rvas
- Skill file: .squad/templates/skills/model-selection/SKILL.md
What it does
Determines which LLM model to use for each agent spawn.
Skill instructions
Model Selection Determines which LLM model to use for each agent spawn. SCOPE ✅ THIS SKILL PRODUCES: - A resolved model parameter for every task tool call - Persistent model preferences in .squad/config.json - Spawn acknowledgments that include the resolved model ❌ THIS SKILL DOES NOT PRODUCE: - Code, tests, or documentation - Model performance benchmarks - Cost reports or billing artifacts Context Squad supports 18+ models across three tiers (premium, standard, fast). The coordinator must select the right model for each agent spawn. Users can set persistent preferences that survive across sessions. 5-Layer Model Resolution Hierarchy 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 | S
Verified compatibility and discovery
Frequently asked questions
What is Model Selection?
Model Selection is a open-source AI agent skill with Copy skill directory. Determines which LLM model to use for each agent spawn.
Who is Model Selection best for?
Model Selection is best for reusing agent instructions, scripts, and references, documentation workflows.
How do I install Model Selection?
Install or run Model Selection using Copy skill directory. Check Model Selection for the latest setup command.
Is Model Selection actively maintained?
Model Selection may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
