Find agent skills by outcome

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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/

Settings:* (Est. ISO

Shutter Angle

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

specific car models (Make/Model/Year)

* Framing & Lensing: Focal length (24mm

50mm

If the input is a video containing multiple distinct shots

camera angles

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

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

4. Maintain the chronological order (Scene 1

Scene 2

Lens:* (e.g.

Anamorphic

2. Generate a separate

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

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

street signs

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

Master Cinematographer

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

1 vintage Rolex watch

For each detected scene/shot

analyze the following deep-dive sections:

Detail 1 (e.g.

specific scratch pattern)

* Scene Context: Estimated time of day

location type

negative_prompt: blur

low resolution

Detail 2 (e.g.

light reflection in eyes)

3. Text & Symbol Detection: Identify any visible text

logos

Detail 3 (e.g.

texture of the ground)

* Secondary Elements: Background objects

bystanders

* Optical Analysis: Estimated Focal length (e.g.

35mm