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.
Best use case
agent-model-selection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.
Teams using agent-model-selection should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-model-selection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-model-selection Compares
| Feature / Agent | agent-model-selection | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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:** 1. Logical reasoning and trade-off analysis 2. Architecture/design decisions 3. Semantic/intent analysis 4. Problem diagnosis and strategy 5. Multi-component interaction 6. Security/performance analysis **Use Haiku if dominant:** 1. Following defined rules/templates 2. Repetitive mechanical tasks 3. Command execution and collection 4. Simple CRUD operations 5. 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](reference.md)** **For more examples, see [examples.md](examples.md)**
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