Select cost-effective subagent models (Haiku, Sonnet, Opus) for tasks.
npx skills add https://github.com/Dayopt/app --skill model-selection-dayopt
Please help me install this Agent Skill. Skill: model-selection Source: https://github.com/Dayopt/app/tree/main/.claude/skills/model-selection Command: npx skills add https://github.com/Dayopt/app --skill model-selection-dayopt
Subagentモデル選択の自動化により、Taskツール使用時のコストとパフォーマンスのバランスを取るための最適なモデルを選択します。
Automatically select the most cost-effective subagent model (Haiku, Sonnet, Opus) based on task requirements.
High-intent search queries and answers about installing and using this skill.
Subagent model selection identifies the optimal Claude model (Haiku, Sonnet, or Opus) based on task requirements to balance cost and performance in multi-subagent workflows.
Use Haiku, Sonnet, or Opus for parallel subagents when allocating resources across search or data investigation subtasks that have varying cost constraints and performance requirements.
Yes, you can automate model selection across multi-subagent workflows by applying predefined guidelines and exemplars that map subagent types to optimal models based on cost constraints and context availability.
The best way to optimize Task tool costs is by automatically allocating the cheapest suitable model per subtask, ensuring alignment with predefined subagent type and model mapping guidelines.
Subagent model selection relies on predefined guidelines and exemplars for subagent type and model mappings to ensure proper alignment with cost constraints and performance requirements.
Deploying Opus for every subagent task increases costs unnecessarily because it ignores cost-effective model selection, which allocates cheaper models like Haiku or Sonnet to suitable low-complexity subtasks.
DTMC-marketplaceGuide AI/ML model selection through capability matching, benchmarks, cost analysis, and deployment constraints.
me2DocExecute .prose programs that orchestrate multi-agent workflows via the Task tool.
menoncelloOrchestrate subagents, commands, MCP servers, and skills with parallel execution.
campbellmcgregorGuide AI-assisted software builds with workflows, model selection, and prompt strategies.
