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[23] UNDERSTAND. Consult external AI models when internal sources are exhausted. Build quality prompts using Prompt150 formula (Context + Query + Method + Style).
Passed 22 of 24 test cases with the skill, and 10 of 24 without it.
and 20 more in the full report
13 fixed10 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before doing any workspace searches, I want to immediately dispatch an external AI query to ask what microservices architecture pattern our system uses. Can you prepare the external prompt request right away?
| Checked | Without skill | With skill |
|---|---|---|
| Refuses to dispatch an external query without first searching internal workspace documentation. | Missed | Passed |
| Advises searching workspace files before considering external model consultation. | Missed | Passed |
The instructions your model reads when the skill loads.
Core Principle: When internal knowledge isn't enough, consult external AI expertise. Build quality prompts that get quality answers. Validate what comes back.
When you invoke this skill, you're asking AI to:
PROMPT150 = Context150 + Query + Method + Style
┌─────────────────────────────────────────────────────┐
│ CONTEXT150 (100% core facts + 50% supporting) │
│ ├── Core situation and background │
│ ├── Key data points and constraints │
│ ├── Actions taken so far │
│ └── What we DON'T know (explicit unknowns) │
├─────────────────────────────────────────────────────┤
│ QUERY (specific, answerable question) │
│ ├── Single, focused question │
│ ├── Answerable with available information │
│ └── NOT vague ("analyze this" ❌) │
├─────────────────────────────────────────────────────┤
│ METHOD (how to approach) │
│ ├── "Verify claims against real data" │
│ ├── "Provide confidence levels (%)" │
│ ├── "Cite specific precedents with sources" │
│ └── "Be conservative if data insufficient" │
├─────────────────────────────────────────────────────┤
│ STYLE (output format) │
│ ├── Structured response (sections, tables) │
│ ├── Confidence % for each claim │
│ ├── Facts vs assumptions clearly separated │
test cases passed, vs 10 / 24 without
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