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Find agent skills by outcome

14,898 skills indexed with the new KISS metadata standard.

Showing 24 of 14,898Categories: Data, Marketing, Creative, Communication, Openclaw
Creative
PromptBeginner5 minmarkdown

framing: the subject appears inside the laptop display

with the laptop bezel partially visible

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Creative
PromptBeginner5 minmarkdown

description: A young woman lying on a bed

holding a smartphone and looking at the screen with a calm

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Creative
PromptBeginner5 minmarkdown

avoid: over-processed skin

artificial lighting

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Creative
PromptBeginner5 minmarkdown

avoid: Artificial faces in background

over-processed skin

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Creative
PromptBeginner5 minmarkdown

compression: Minimal compression artifacts

close to original capture

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Creative
PromptBeginner5 minmarkdown

camera_behavior: Natural smartphone processing

slight edge sharpening

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Creative
PromptBeginner5 minmarkdown

- Keep design minimal

not decorative

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Communication
PromptBeginner5 minmarkdown

- Ensure clean

app-only UI presentation

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Marketing
PromptBeginner5 minmarkdown

create app screenshots

Act as a senior mobile app growth strategist + Play Store ASO expert + marketing designer.

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Marketing
PromptBeginner5 minmarkdown

Video

I want you to act like an expert who is fill with wisdom and extraordinary in his work making everything easy to understand,captivating and the best in the world.making each question I ask to stand ou...

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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
PromptBeginner5 minmarkdown

· Capture preferences (features

brands

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Data
PromptBeginner5 minmarkdown

- 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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Data
PromptBeginner5 minmarkdown

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

not noise.

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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
PromptBeginner5 minmarkdown

- 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
PromptBeginner5 minmarkdown

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

angles

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Creative
PromptBeginner5 minmarkdown

**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
PromptBeginner5 minmarkdown

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

On ALN

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Creative
PromptBeginner5 minmarkdown

- 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
PromptBeginner5 minmarkdown

- 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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