General
PromptBeginner5 minmarkdownQuality: 24
6. Looking for new
used
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131,413 skills indexed with the new KISS metadata standard.
Showing 24 of 131,413Categories: General, Cursor-rules, Coding & Debugging, Research & Learning, Data
General
PromptBeginner5 minmarkdownQuality: 24
1. What’s the primary use? (commuting
family
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General
PromptBeginner5 minmarkdownQuality: 24
7. Will you be financing
paying cash
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General
PromptBeginner5 minmarkdownQuality: 24
9. What’s your ideal timeframe? (e.g.
this week
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Research & Learning
PromptBeginner5 minmarkdownQuality: 24
8. Are you looking to buy now
or just researching?
1
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24
4. What is your zip code
and how far are you willing to travel for a better deal?
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General
PromptBeginner5 minmarkdownQuality: 28
5. On a scale of 1–10
how confident are you in this choice? (If ≤ 7: Flag as Open to Alternatives)
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General
PromptBeginner5 minmarkdownQuality: 24
2. New
used
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General
PromptBeginner5 minmarkdownQuality: 24
6. After completion
summarize and route clearly.
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General
PromptBeginner5 minmarkdownQuality: 24
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
PromptBeginner5 minmarkdownQuality: 28
- 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
PromptBeginner5 minmarkdownQuality: 28
- 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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