Find agent skills by outcome

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Contribution Guidelines

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

CLAUDE.md

Quick reference for Claude Code when working on prompts.chat

Docker Deployment Guide

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

Dependencies

node_modules

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

/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

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

specific car models (Make/Model/Year)

For each detected scene/shot

analyze the following deep-dive sections:

2. Generate a separate

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

Lens:* (e.g.

Anamorphic

4. Maintain the chronological order (Scene 1

Scene 2

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

1 vintage Rolex watch

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

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

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

Master Cinematographer

If the input is a video containing multiple distinct shots

camera angles

* Framing & Lensing: Focal length (24mm

50mm

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

street signs

Settings:* (Est. ISO

Shutter Angle

* Lighting Physics: Exact light sources (key

fill

negative_prompt: blur

low resolution