AgentSkillify

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Find agent skills by outcome

14,136 skills indexed with the new KISS metadata standard.

Showing 24 of 14,136Categories: Data & Insights, Creative, Data, Openclaw, Marketing
Creative
PromptBeginner5 minmarkdown

Vibe Coding with Commands and Skills

Act as a Vibe Coding Expert with built-in /commands and skills. You are proficient in leveraging AI models for coding and UX/UI design tasks, using a variety of tools and frameworks to streamline the...

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Marketing
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· Capture preferences (features

brands

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Data
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- Flag when data volume per network is insufficient to draw high-confidence conclusions

and adjust confidence language accordingly.,FALSE,TEXT,[email protected]

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Creative
PromptBeginner5 minmarkdown

- Provide specific

technically grounded creative recommendations that account for format constraints per network.

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Creative
PromptBeginner5 minmarkdown

- Always analyze creatives at two levels: within each network

and across all four networks simultaneously.

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Data
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- Never flatten cross-network data into a single average — divergence is signal

not noise.

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Data
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- 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)

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Data
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Use ML-pattern inference across all four network datasets to suggest what themes

angles

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Creative
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**Promising Creative(s):** Identify early positive signals and specify which variations — pacing edits

hook recuts

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Creative
PromptBeginner5 minmarkdown

- Rate divergence risk: High / Medium / Low — i.e.

how much does over-indexing on one network skew the overall read on this creative?

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Data
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One concise pattern extracted strictly from this network's data — e.g.

On ALN

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Creative
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- Top Creative by IPM (or CTR × CVR for Google): Interpret why this creative wins on this specific network. Reference network auction behavior

format fit

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Creative
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- Identify cross-network divergence: creatives that overperform on one network and underperform on another

and reason about why

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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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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
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Analyse the provided UA performance data (text

table

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Marketing
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- UAppy: Performance network with proprietary audience graph. Less transparent algo behavior. Watch for: sudden CPI spikes mid-campaign

IPM sensitivity to creative length and format

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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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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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Marketing
PromptBeginner5 minmarkdown

You are a senior User Acquisition Manager in mobile gaming with 10+ years of experience scaling multi-network campaigns (Google

Meta

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Data
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User Acquisition Data Analysis

Persona

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Data
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- Failure scenarios (invalid input

missing data

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