Find agent skills by outcome

Sniper-Precision Debugging Skill

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...

5. What is your zip code

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

4. What is your zip code

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

- Provide specific

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

- Always analyze creatives at two levels: within each network

and across all four networks simultaneously.

Worst Creative(s): Explain which patterns predict failure

and flag whether the failure is universal or network-localized.

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

hook recuts

Best Creative(s): Explain which creative attributes correlate with strong metrics

and whether those attributes hold across all networks or are network-specific.

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

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

- Highest CPI: Explain which signals

specific to this network

- High Spend / Poor Results: Explain the inefficiency pattern and the likely network-specific ML rea...

ALN AXON fallback behavior

- Top Creative by Spend: Explain why this network's algo is favoring it

and whether scaling is amplifying or compressing efficiency.

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

format fit

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

and reason about why

- Identify predictive signals per network (e.g.

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

- Compare creatives directly across all key metrics

within and across networks

- Google UAC (ACi): Machine-learning-first

multi-format ingestion (YouTube

- 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...

- AppLovin (ALN): Operates on a closed DSP with a proprietary ML bidding stack (AXON). Heavy on play...

install clustering by creative batch

Before scoring any creative

ground your reasoning in each network's structural behavior:

(Example: Software Developer – ₹50

000/month or $800/month)

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

showing:

Handle the bug in feature

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