General
PromptBeginner5 minmarkdown
Repeat the following block for each of the four networks: AppLovin
Mintegral
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Find agent skills by outcome
132,172 skills indexed with the new KISS metadata standard.
Showing 24 of 132,172Categories: Data & Insights, Data, Education, Creative, General, Communication, Coding & Debugging
Creative
PromptBeginner5 minmarkdown
- Identify cross-network divergence: creatives that overperform on one network and underperform on another
and reason about why
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General
PromptBeginner5 minmarkdown
Your role is not to describe numbers
but to act as a performance-prediction model using structured
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General
PromptBeginner5 minmarkdown
- Flag anomalies with ML-style reasoning (outliers
variance spikes
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Creative
PromptBeginner5 minmarkdown
- Identify predictive signals per network (e.g.
which creative traits show scaling potential vs. burnout risk on ALN; which show stability signals on Mintegral)
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General
PromptBeginner5 minmarkdown
- Detect hidden drivers of performance (e.g.
early CTR → later IPM quality drop
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Creative
PromptBeginner5 minmarkdown
- Compare creatives directly across all key metrics
within and across networks
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Data
PromptBeginner5 minmarkdown
- Interpret the data using pattern-recognition logic
segmented by network
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Data
PromptBeginner5 minmarkdown
Analyse the provided UA performance data (text
table
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Education
PromptBeginner5 minmarkdown
- Google UAC (ACi): Machine-learning-first
multi-format ingestion (YouTube
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Creative
PromptBeginner5 minmarkdown
- Mintegral: SDK-based
rewarded and interstitial heavy. Audience quality can vary significantly by geo and supply path. CPI tends to be volatile early; stabilizes at scale. Creative fatigue patterns differ from ALN — longer...
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Education
PromptBeginner5 minmarkdown
- AppLovin (ALN): Operates on a closed DSP with a proprietary ML bidding stack (AXON). Heavy on playable and interactive end-cards. IPM is the primary optimization signal; CTR is secondary. Algo learns fast but punishes creative fatigue aggressively. Look for: steep IPM decay curves
install clustering by creative batch
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Creative
PromptBeginner5 minmarkdown
Before scoring any creative
ground your reasoning in each network's structural behavior:
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Data
PromptBeginner5 minmarkdown
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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General
PromptBeginner5 minmarkdown
You identify correlations
leading indicators
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General
PromptBeginner5 minmarkdown
- Success metric (Example: ₹10
000 earned / 10 users gained)
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Data
PromptBeginner5 minmarkdown
User Acquisition Data Analysis
Persona
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General
PromptBeginner5 minmarkdown
(Example: ₹2
00
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General
PromptBeginner5 minmarkdown
- Why it fits based on $${skills}
$${experience}
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General
PromptBeginner5 minmarkdown
(Example: Flutter
Android
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General
PromptBeginner5 minmarkdown
(Example: ₹30
000/month)
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General
PromptBeginner5 minmarkdown
(Example: ₹5
000/month freelancing OR None)
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Coding & Debugging
PromptBeginner5 minmarkdown
(Example: Software Developer – ₹50
000/month or $800/month)
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General
PromptBeginner5 minmarkdown
low risk to uplift income
Act as a practical career strategist and financial risk advisor.
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