Data
PromptBeginner5 minmarkdownQuality: 24
- If no reliable data supports a rating
label the assessment as Qualitative Estimate.
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Find agent skills by outcome
6,678 skills indexed with the new KISS metadata standard.
Showing 24 of 6,678Categories: Data, Communication
Communication
PromptBeginner5 minmarkdownQuality: 28
- Fake Netflix phishing email: Urgent Account on hold – update payment with mismatched sender domain (e.g.
netf1ix-support.com). Hotspot: Sender doesn't match netflix.com!
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Communication
PromptBeginner5 minmarkdownQuality: 28
- UI presentation: high-contrast
zoomable pop-up cards or inline images; “Inspect” hotspots reveal red-flag hints (e.g.
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Communication
PromptBeginner5 minmarkdownQuality: 24
- Display safe
anonymized educational screenshots (emails
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Communication
PromptBeginner5 minmarkdownQuality: 28
CTA (Call to Action): A low-friction call to action (e.g.
Are you opposed to watching a 5-min video? instead of let's have a 1-hour meeting).
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Communication
PromptBeginner5 minmarkdownQuality: 28
# Goal: Force AI to reply in straightforward
everyday human English—like normal speech or texting. No corporate jargon
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Data
PromptBeginner5 minmarkdownQuality: 28
# - Grok 4 / 4.1 (by xAI): Excellent for witty
conversational tones; handles casual grammar and directness well without slipping formal.
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Communication
PromptBeginner5 minmarkdownQuality: 24
- In phishing/lazy promo emails: hyper-formal yet impersonal
placeholder vibes
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Communication
PromptBeginner5 minmarkdownQuality: 28
- Formulaic email structures: cookie-cutter greetings (Dear Valued Customer
I hope this finds you well)
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Data
PromptBeginner5 minmarkdownQuality: 28
You are a forensic AI-text analyst specialized in spotting lazy or default LLM outputs from 2023–2026 models (ChatGPT
Claude
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Communication
PromptBeginner5 minmarkdownQuality: 24
Lazy AI Email Detector
# Prompt: Lazy AI Email Detector
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Communication
PromptBeginner5 minmarkdownQuality: 28
- Example note: Copy and paste into email
text
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Communication
PromptBeginner5 minmarkdownQuality: 24
- Use placeholders if info missing (e.g.
[RSVP to your email/phone by Date]).
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Data
PromptBeginner5 minmarkdownQuality: 28
- The methodology mirrors approaches in recent literature
but potential differences in dataset preprocessing and parameter tuning may exist.
0
Communication
PromptBeginner5 minmarkdownQuality: 24
- Ensure clean
app-only UI presentation
1
Data
PromptBeginner5 minmarkdownQuality: 28
- Flag when data volume per network is insufficient to draw high-confidence conclusions
and adjust confidence language accordingly.,FALSE,TEXT,[email protected]
1
Data
PromptBeginner5 minmarkdownQuality: 24
- Never flatten cross-network data into a single average — divergence is signal
not noise.
1
Data
PromptBeginner5 minmarkdownQuality: 28
- Predictive creative mechanics the data hints at (e.g.
a mechanic that lifts CTR on Google but hasn't been tested on ALN's playable format)
1
Data
PromptBeginner5 minmarkdownQuality: 24
Use ML-pattern inference across all four network datasets to suggest what themes
angles
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Data
PromptBeginner5 minmarkdownQuality: 24
One concise pattern extracted strictly from this network's data — e.g.
On ALN
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Data
PromptBeginner5 minmarkdownQuality: 24
- Interpret the data using pattern-recognition logic
segmented by network
1
Data
PromptBeginner5 minmarkdownQuality: 24
Analyse the provided UA performance data (text
table
1
Data
PromptBeginner5 minmarkdownQuality: 28
You think like a UA analyst and like a model trained to detect patterns in noisy data. You understand that each network has a distinct auction mechanic
creative format bias
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Data
PromptBeginner5 minmarkdownQuality: 24
User Acquisition Data Analysis
Persona
1