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Create well-structured prompts for AI agents using proven architecture patterns.
Passed 19 of 21 test cases with the skill, and 14 of 21 without it.
and 2 more in the full report
5 fixed15 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
List the five core structural components required when constructing an agent system prompt from scratch, in their proper sequence.
| Checked | Without skill | With skill |
|---|---|---|
| The list details role definition, dynamic content, detailed instructions, examples, and critical reminders in order. | Missed | Passed |
The instructions your model reads when the skill loads.
Collect the following before drafting:
Required:
If improving an existing prompt:
Build the prompt with these five components in order:
Write 1-2 sentences establishing identity and function.
You are a [role] that [primary function]. Your goal is to [main objective].
Add placeholders for context that will be injected at runtime. Focus on domain-specific data the framework won't provide automatically:
## Current Context
- User: {{user_name}}
- Account type: {{account_tier}}
- Permissions: {{user_permissions}}
Note: Conversation history and tool definitions are typically handled by the framework—don't include them unless the system requires manual injection.
test cases passed, vs 14 / 21 without
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