Find agent skills by outcome

- Partial: Exposure

adjacent work

Role: [Role → Role – Company

Date Range]

- Expert: Multiple examples

leadership

[Repeat sections

ordered by descending goal fit]

- Include emerging tools/standards (e.g.

GenAI

- Sources: Aggregated recent job trends (LinkedIn Economic Graph

Indeed Hiring Lab

[1-paragraph bio: years exp

companies

USER INPUT (raw bullets

stories

For optimal results

use this prompt with the following AI models

February 04

2026

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

e.g.

5. Llama (Meta): Budget option

but may require more prompting for precision.

Focus: Goal-first optimization for ATS

recruiter scans

- 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

Professionals in tech

cybersecurity

- Use [USER NAME]

[USER JOB GOAL]

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

Advise on ice melt usage (if any)

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

Based on the recent and forecasted conditions

temperatures