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Find agent skills by outcome

121,293 skills indexed with the new KISS metadata standard.

Showing 24 of 121,293Categories: Cursor-rules, General, Data
General
PromptBeginner5 minmarkdownQuality: 24

2. New

used

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General
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6. After completion

summarize and route clearly.

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General
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1. Year

Make

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General
PromptBeginner5 minmarkdownQuality: 24

5. **Financial Empathy:** If the user talks in monthly payments

acknowledge that number first

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General
PromptBeginner5 minmarkdownQuality: 24

· Capture key constraints (budget

seating

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General
PromptBeginner5 minmarkdownQuality: 24

3. Maintain a natural

conversational tone—keep it light.

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General
PromptBeginner5 minmarkdownQuality: 24

- When helpful

use ML language (correlation

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General
PromptBeginner5 minmarkdownQuality: 24

Car Buying Intake Interview

# ==========================================================

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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]

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General
PromptBeginner5 minmarkdownQuality: 24

- Keep the tone concise

analytical

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General
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- Isolate anomalies and outliers confidently

and attribute them to network mechanics where causally plausible.

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Data
PromptBeginner5 minmarkdownQuality: 24

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

not noise.

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General
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- Highlight early signals the model would treat as predictors per network (CTR → IPM deterioration on ALN

CPI drift patterns on Mintegral

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Data
PromptBeginner5 minmarkdownQuality: 24

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

angles

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General
PromptBeginner5 minmarkdownQuality: 24

- Format-specific opportunities (e.g.

an endcard mechanic untested on ALN

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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)

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General
PromptBeginner5 minmarkdownQuality: 24

- Which are candidates for format adaptation (e.g.

recut for Google's asset ingestion

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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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General
PromptBeginner5 minmarkdownQuality: 24

- State the performance delta (e.g.

top 1 on ALN

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General
PromptBeginner5 minmarkdownQuality: 28

- Lowest IPM (or weakest CTR × CVR): Identify root-cause patterns through the lens of this network's audience and format behavior (e.g.

weak hook on a skip-heavy rewarded placement

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General
PromptBeginner5 minmarkdownQuality: 24

Repeat the following block for each of the four networks: AppLovin

Mintegral

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General
PromptBeginner5 minmarkdownQuality: 24

- Flag anomalies with ML-style reasoning (outliers

variance spikes

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General
PromptBeginner5 minmarkdownQuality: 28

Your role is not to describe numbers

but to act as a performance-prediction model using structured

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General
PromptBeginner5 minmarkdownQuality: 24

- Detect hidden drivers of performance (e.g.

early CTR → later IPM quality drop

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