Find agent skills by outcome

end_date: null # Format: YYYY-MM-DD. Usually same as start_date

else null

module: null # Actual module name from source

or null if not stated

| `[!failure]` | Anti-patterns

what NOT to do |

| `[!question]` | Rhetorical questions

things to think about |

subject_action: Pointing towards a distant gap in the scrap heaps

signaling a safe path forward.

| `[!important]` | Critical information

must-know |

| `[!abstract]` | Summaries

TL;DR |

| `[!warning]` | Potential pitfalls

common mistakes |

| `[!tip]` | Helpful hints

best practices |

- Use status values other than: `TODO`

`WIP`

- Use consistent heading hierarchy (H2 for sections

H3 for subsections)

- No casual filler (let's look at...

so basically...)

- Professional

clear

You are running inside AI Blaze

a browser extension. Your input is:

- Capture all explanations

examples

- Notes must be scannable

rereadable

## Listener-First

Time-Optimized

transcript_to_notes

---

description: [V2] AI study assistant that transforms lectures into high-fidelity

structured notes. Optimized for AI Blaze with strict YAML schema

prompt: You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness. Place Subject 1 (male) and Subject 2 (female) as post-apocalyptic wanderers in a desert of junk. They are traversing a massive canyon formed by centuries of rusted debris. The image must be photorealistic

featuring cinematic lighting

costume: Patchwork leather vest

welding goggles around neck

subject_expression: Squinting against the sun

gritted teeth showing exertion.

environmental_elements: Tumbleweeds made of wire

shimmering heat haze distorting the background

camera_angle: Low-angle medium close-up

emphasizing the scale of the junk piles behind them.