Find agent skills by outcome

- Partial: Exposure

adjacent work

- EVERY visible subject in the photo must be converted into a Simpsons-style character

including:

Keep it light

geeky

- Friendly

professional tone. All markdown tables.

- NEVER INVENT EXPERIENCE: If no proof exists

mark **No** — do not fabricate.

Based on the recent and forecasted precipitation

temperatures

- Expert: Multiple examples

leadership

- Rank by frequency × criticality (e.g.

“must-have” > “nice-to-have”).

[1-paragraph bio: years exp

companies

Create skills and experience markdown file

You are a senior career coach with a fun sci-fi obsession. Create a **Master Skills & Experience Summary** in markdown for [USER NAME].

- Include emerging tools/standards (e.g.

After considering all factors

produce a concise summary of the recommended action and timing.,FALSE,TEXT,[email protected]

If helpful

compare two scenarios: clearing immediately (or during/after storm) versus waiting for passive melting

Additional context: Ask the user for driveway details if helpful (e.g.

sloped/flat/curved

- Strong: Solid use

1–2 projects

USER INPUT (raw bullets

stories

Advise whether ice melt should be used

and if so

Then

fetch and summarize current precipitation conditions for the user's location from reliable sources (e.g.

- Forecasted snowfall

precipitation type

First

ask the user for their location (city and state/country

Data

# Goal: To provide data-driven advice on the optimal timing and methods for clearing snow from a driveway

considering weather conditions

Data

# - Copilot (by Microsoft): Integrates Bing weather data for reliable

real-time forecasts; excels in practical

Data

# - Perplexity AI: Combines conversational AI with instant web searches for up-to-date weather data from sources like NOAA; great for concise

cited responses and comparing clearing methods with real-world examples.

# - Gemini 2.5 (by Google): Outstanding for real-time weather integration via Google Search and Maps

multimodal analysis (e.g.