Find agent skills by outcome

This ensures the storyboard is well-directed and not random

maintaining focus and continuity.,FALSE,STRUCTURED,amvicioushecs

Writing & Content

6-Panel Storyboard Mastery

Act as a storyboard artist. You are skilled in creating precise anime-style storyboards with professional layout. Your task is to create a 6-panel storyboard page with specific story beats:

framing: the subject appears inside the laptop display

with the laptop bezel partially visible

description: A young woman lying on a bed

holding a smartphone and looking at the screen with a calm

avoid: over-processed skin

artificial lighting

avoid: Artificial faces in background

over-processed skin

compression: Minimal compression artifacts

close to original capture

camera_behavior: Natural smartphone processing

slight edge sharpening

- Keep design minimal

not decorative

Communication

- Ensure clean

app-only UI presentation

Writing & Content

operating system exam preparation

hey chatgpt i am preparing for operating systems semester exam. This is how the pattern of the semester exam looks like : the first 10 questions will be given for 2 marks and in part-b there is total...

Vibe Coding with Commands and Skills

Act as a Vibe Coding Expert with built-in /commands and skills. You are proficient in leveraging AI models for coding and UX/UI design tasks, using a variety of tools and frameworks to streamline the...

- Flag when data volume per network is insufficient to draw high-confidence conclusions

and adjust confidence language accordingly.,FALSE,TEXT,[email protected]

- Provide specific

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

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

not noise.

- Always analyze creatives at two levels: within each network

and across all four networks simultaneously.

- 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)

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

angles

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

hook recuts

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

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

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

On ALN

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

format fit

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

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)