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Find agent skills by outcome

21,479 skills indexed with the new KISS metadata standard.

Showing 24 of 21,479Categories: Operations & Workflow, Creative, Cursor-rules, Coding & Debugging, Data, Openclaw
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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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

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

not noise.

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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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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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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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Data
PromptBeginner5 minmarkdown

User Acquisition Data Analysis

Persona

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Coding & Debugging
PromptBeginner5 minmarkdown

(Example: Software Developer – ₹50

000/month or $800/month)

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Data
PromptBeginner5 minmarkdown

- Failure scenarios (invalid input

missing data

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Coding & Debugging
PromptBeginner5 minmarkdown

Provide a real flow diagram based on the given feature and code

showing:

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Coding & Debugging
PromptBeginner5 minmarkdown

Handle the bug in feature

Act as a senior Flutter engineer + GIS/map system expert (ArcGIS-like SDK).

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Coding & Debugging
PromptBeginner5 minmarkdown

High-Velocity Dogfight

Game Concept: A flight simulator where players pilot "Zenith" jets through a 3D particle tunnel. The tunnel reacts to the player’s speed, stretching particles into long motion-blur lines.

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