Find agent skills by outcome

- USER REVIEW PROMPT: For any skill rated Partial or No

add a note in **STAR Proof**:

Pull from any sci-fi (Star Wars

Star Trek

- Friendly

professional tone. All markdown tables.

- FUN SCI-FI CLOSE: At the very end

add ONE random

Keep it light

geeky

- NEVER INVENT EXPERIENCE: If no proof exists

mark **No** — do not fabricate.

Creative

- Partial: Exposure

adjacent work

Advise whether ice melt should be used

and if so

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

sloped/flat/curved

- Rank by frequency × criticality (e.g.

“must-have” > “nice-to-have”).

If helpful

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

After considering all factors

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

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].

USER INPUT (raw bullets

stories

[1-paragraph bio: years exp

companies

- Include emerging tools/standards (e.g.

- Expert: Multiple examples

leadership

- Strong: Solid use

1–2 projects

Based on the recent and forecasted precipitation

temperatures

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

step-by-step reasoning

# Audience: Homeowners in snowy regions

especially those with challenging driveways (e.g.

Data

# - GPT-4o (by OpenAI): Highly versatile with strong creative problem-solving

excellent handling of contextual nuances (e.g.

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

refreezing risks via temperature trends); open-source friendly

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

multimodal analysis (e.g.