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Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs.
Passed 23 of 23 test cases with the skill, and 16 of 23 without it.
and 6 more in the full report
7 fixed16 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are specifying the model for a markdown technical writing agent named `tutorial-writer` that creates step-by-step tutorials from source code. Available model identifiers for frontmatter are `sonnet` and `haiku`. Which model should be assigned?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns `sonnet` as the model for the technical writing agent. | Passed | Passed |
| Cites narrative structure or pedagogical flow evaluation as the reason for choosing sonnet. | Missed | Passed |
The instructions your model reads when the skill loads.
Guidelines for choosing between sonnet and haiku models based on agent capabilities and task requirements.
This Skill auto-loads when implementing agents or documenting model selection rationale.
Characteristics:
Use for: Complex, reasoning-intensive tasks
Characteristics:
Use for: Simple, well-defined tasks
test cases passed, vs 16 / 23 without
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