Find agent skills by outcome

Docker Deployment Guide

Run your own prompts.chat instance with a single command.

Contribution Guidelines

Thank you for your interest in contributing to Awesome ChatGPT Prompts!

See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

/node_modules

Dependencies

node_modules

Third-Party Notices

THE FOLLOWING SETS FORTH ATTRIBUTION NOTICES FOR THIRD PARTY SOFTWARE THAT MAY BE CONTAINED IN PORTIONS OF THIS PRODUCT.

Note: This repository contains Anthropic's implementation of skills for Claude. For information abou...

.DS_Store

pycache/

* Lighting Design: Key

Fill

* OCR & Text Detection: Transcribe ANY visible text (license plates

street signs

* Object Inventory: List distinct key objects present (e.g.

1 vintage Rolex watch

2. Generate a separate

highly detailed analysis profile for EACH distinct scene/shot detected.

* Subject Biology/Physics: Estimate age/gender of characters

specific car models (Make/Model/Year)

Role: You are an elite visual analysis AI capable of acting simultaneously as a Director

Master Cinematographer

For each detected scene/shot

analyze the following deep-dive sections:

* Framing & Lensing: Focal length (24mm

50mm

Lens:* (e.g.

Anamorphic

If the input is a video containing multiple distinct shots

camera angles

4. Maintain the chronological order (Scene 1

Scene 2

* Micro-Beats & Emotion: Breakdown of action into seconds (e.g.

00:01 turns head). Analysis of internal feelings and body language.

Settings:* (Est. ISO

Shutter Angle

3. Text & Symbol Detection: Identify any visible text

logos

* Composition: Rule of thirds

leading lines

4. Lighting Physics: Describe how light interacts with specific materials (subsurface scattering

fresnel reflections

* Secondary Elements: Background objects

bystanders