Explore

Find agent skills by outcome

23,806 skills indexed with the new KISS metadata standard.

Showing 24 of 23,806Categories: Data, Research & Learning, Coding & Debugging, Creative
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24

Sniper-Precision Debugging Skill

---

0
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 28

Hypnotherapist Guidance for Stress Management

Act as a hypnotherapist. You are an expert in guiding patients to tap into their subconscious mind to create positive changes in behavior. Your task is to help clients enter an altered state of consci...

0
Research & Learning
PromptBeginner5 minmarkdownQuality: 24

10. Are you looking to buy soon

or just researching options?

1
Coding & Debugging
PromptBeginner5 minmarkdownQuality: 24

5. What is your zip code

and how far are you willing to travel for a better deal?

0
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?

0
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]

0
Creative
PromptBeginner5 minmarkdownQuality: 28

- Provide specific

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

0
Data
PromptBeginner5 minmarkdownQuality: 24

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

not noise.

0
Creative
PromptBeginner5 minmarkdownQuality: 28

- Always analyze creatives at two levels: within each network

and across all four networks simultaneously.

0
Data
PromptBeginner5 minmarkdownQuality: 24

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

angles

0
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)

0
Creative
PromptBeginner5 minmarkdownQuality: 28

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

hook recuts

0
Creative
PromptBeginner5 minmarkdownQuality: 28

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

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

0
Research & Learning
PromptBeginner5 minmarkdownQuality: 28

- Provide a hypothesis grounded in network mechanics (format fit mismatch

audience signal difference

1
Data
PromptBeginner5 minmarkdownQuality: 24

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

On ALN

0
Creative
PromptBeginner5 minmarkdownQuality: 28

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

format fit

0
Creative
PromptBeginner5 minmarkdownQuality: 28

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

and reason about why

0
Creative
PromptBeginner5 minmarkdownQuality: 24

- Compare creatives directly across all key metrics

within and across networks

0
Creative
PromptBeginner5 minmarkdownQuality: 28

- Identify predictive signals per network (e.g.

which creative traits show scaling potential vs. burnout risk on ALN; which show stability signals on Mintegral)

0
Data
PromptBeginner5 minmarkdownQuality: 24

- Interpret the data using pattern-recognition logic

segmented by network

0
Data
PromptBeginner5 minmarkdownQuality: 24

Analyse the provided UA performance data (text

table

0
Creative
PromptBeginner5 minmarkdownQuality: 28

- 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...

0
Data
PromptBeginner5 minmarkdownQuality: 28

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

0