Find agent skills by outcome

- Partial: Exposure

adjacent work

- Sources: Aggregated recent job trends (LinkedIn Economic Graph

Indeed Hiring Lab

[1-paragraph bio: years exp

companies

USER JOB GOAL: [THEIR TARGET ROLE/INDUSTRY – be as specific as possible

e.g.

February 04

2026

For optimal results

use this prompt with the following AI models

5. Llama (Meta): Budget option

but may require more prompting for precision.

Focus: Goal-first optimization for ATS

recruiter scans

USER INPUT (raw bullets

stories

- Prioritize factual accuracy

ATS keywords (e.g.

- Treat this output as a version-controlled master document: Include patch versioning

changelog updates

- If user requests interview style

prep mode

Professionals in tech

cybersecurity

Create a polished

ATS-optimized markdown document summarizing skills

- Use [USER NAME]

[USER JOB GOAL]

Master Skills & Experience Summary Generator

# Prompt Name: Master Skills & Experience Summary Generator

Include post-clearing tips (e.g.

proper piling/drainage to avoid pooling/refreeze

After considering all factors (weather + user/driveway details)

produce a concise summary of the recommended action

Then

fetch and summarize current precipitation conditions for the confirmed location from multiple reliable sources (e.g.

If the user has not filled in driveway details in the section above (or provided them in the query)

**ask for relevant ones early** (especially slope

Based on the recent and forecasted conditions

temperatures

Advise on ice melt usage (if any)

including timing (pre-storm prevention vs. post-clearing anti-refreeze)

- Forecasted snowfall

precipitation type

If helpful

compare scenarios: clearing immediately/during/after storm vs. waiting for passive melting