Find agent skills by outcome

- Partial: Exposure

adjacent work

[1-paragraph bio: years exp

companies

- Sources: Aggregated recent job trends (LinkedIn Economic Graph

Indeed Hiring Lab

Focus: Goal-first optimization for ATS

recruiter scans

5. Llama (Meta): Budget option

but may require more prompting for precision.

For optimal results

use this prompt with the following AI models

February 04

2026

USER INPUT (raw bullets

stories

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

e.g.

- Prioritize factual accuracy

ATS keywords (e.g.

- If user requests interview style

prep mode

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

changelog updates

- Use [USER NAME]

[USER JOB GOAL]

Professionals in tech

cybersecurity

Create a polished

ATS-optimized markdown document summarizing skills

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

produce a concise summary of the recommended action

Include post-clearing tips (e.g.

proper piling/drainage to avoid pooling/refreeze

Master Skills & Experience Summary Generator

# Prompt Name: Master Skills & Experience Summary Generator

- Forecasted snowfall

precipitation type

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

First

determine the user's location. If not clearly provided in the query or the above section

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)

If helpful

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