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Activate ATLAS pattern recognition mode. Identify repeated patterns, extract essential characteristics, and create reusable abstractions from concrete examples.
Passed 22 of 22 test cases with the skill, and 15 of 22 without it.
and 4 more in the full report
7 fixed15 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.
Our authentication service requires code modifications across several handlers whenever we integrate a new identity provider like Google, GitHub, or Apple. Could you look at these specific provider setups, break down the core pattern by showing the specific inputs, detail how to strip away vendor-specific quirks to reveal the core behavior, and present an abstract strategy model complete with a left-to-right process flow diagram and an outline of why this makes our codebase more scalable?
| Checked | Without skill | With skill |
|---|---|---|
| Includes a Mermaid flowchart diagram with graph LR syntax. | Missed | Passed |
| Recommends a strategy pattern allowing identity providers to register without modifying core authentication handler code. | Passed | Passed |
The instructions your model reads when the skill loads.
Activate ATLAS abstraction thinking mode.
Abstraction is the process of identifying essential features while hiding unnecessary details. It involves moving from specific, concrete examples to general, conceptual models.
Concrete instances:
sendEmail(to, subject, body) → connects to SMTP, formats message, deliverssendSMS(phone, message) → connects to Twilio API, formats payload, deliverssendPush(deviceId, title, body) → connects to FCM, formats notification, deliversPattern recognized: All three connect to a service, format a message, and deliver it.
Abstraction:
NotificationChannel {
connect()
format(content) → payload
deliver(payload)
}
Three specific implementations collapsed into one interface. New channels (Slack, WhatsApp) plug in without changing the system.
Concrete observations:
test cases passed, vs 15 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.