Enterprise AI-powered user expertise detection with behavioral analysis, communication pattern recognition, code complexity assessment, Context7 integration, and adaptive response calibration; activates for personalized guidance generation, complexity adjustment, tutorial depth selection, and communication style matching
SkillScore91Maintained
Automatic
◆AI Engineer pack
Last verified 9/2/2026
What it changes
Passed 20 of 22 test cases with the skill, and 15 of 22 without it.
Without skill68%
With skill91%
Checks it passed that the model alone missed
Includes Hands-on as the final step.
Includes Edge cases as the final step.
Includes Implications as the final step.
and 5 more in the full report
5 fixed15 passed either way2 still failing0 broke
Pass-rate lift
+23 pp
Tokens
+81%
Agent turns
0%
Response time
-13%
Model gemini-3.6-flashMeasured 9/2/2026v120 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 5
Prompt
When generating technical guidance for an engineer asking deep questions about memory leaks and edge-case behavior, what 3-step content calibration sequence should be followed?
What was checked, without and with the skill
Checked
Without skill
With skill
Structures the response flow starting with Theory.
Passed
Passed
Includes Implementation as the second step.
Missed
Passed
Includes Edge cases as the final step.
Missed
Passed
case-09 · gemini-3.6-flash · 9/2/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
Continuously detects and adapts to user expertise level based on behavioral signals, communication patterns, code examples, and interaction history. Enables Alfred to calibrate complexity, example selection, and communication style dynamically.