agent-model-selection

Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.

Stars 163

Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/agent-model-selection

SKILL.md

Agent Model Selection

Instructions

Core decision

Sonnet: Complex reasoning, architecture, security (2+ criteria) Haiku: Defined rules, repetitive tasks, simple commands (~95% cheaper)

Selection criteria

Use Sonnet if 2+ apply:

Logical reasoning and trade-off analysis
Architecture/design decisions
Semantic/intent analysis
Problem diagnosis and strategy
Multi-component interaction
Security/performance analysis

Use Haiku if dominant:

Following defined rules/templates
Repetitive mechanical tasks
Command execution and collection
Simple CRUD operations
Format validation

Decision flowchart

Architecture/design? → YES → Sonnet
Multiple options? → YES → Sonnet
Security/performance? → YES → Sonnet
Defined rules only? → YES → Haiku
Detailed guide? → YES → Haiku
Large delegated? → YES → Sonnet
Simple commands? → YES → Haiku
Default: Sonnet (quality first)

Example

markdown

Task: Add validation logic
→ Analysis: Complex rules + security + error handling
→ Decision: Sonnet (3 criteria met)

Task: Add tags to files
→ Analysis: Template exists, repetitive
→ Decision: Haiku (rule-following)

For detailed criteria, see reference.md For more examples, see examples.md