Find agent skills by outcome

- Partial: Exposure

adjacent work

- NEVER INVENT EXPERIENCE: If no proof exists

mark **No** — do not fabricate.

- Friendly

professional tone. All markdown tables.

[1-paragraph bio: years exp

companies

- Strong: Solid use

1–2 projects

- Expert: Multiple examples

leadership

- Rank by frequency × criticality (e.g.

“must-have” > “nice-to-have”).

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].

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

Advise whether ice melt should be used

and if so

Based on the recent and forecasted precipitation

temperatures

- Include emerging tools/standards (e.g.

USER INPUT (raw bullets

stories

Then

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

First

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

- Forecasted snowfall

precipitation type

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

# - Claude (by Anthropic): Strong in highly structured

step-by-step reasoning

# - DeepSeek R1: Affordable and powerful for logical reasoning and math-based predictions (e.g.

refreezing risks via temperature trends); open-source friendly

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.