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 INPUT (raw bullets

stories

Focus: Goal-first optimization for ATS

recruiter scans

For optimal results

use this prompt with the following AI models

February 04

2026

5. Llama (Meta): Budget option

but may require more prompting for precision.

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

e.g.

- If user requests interview style

prep mode

- Prioritize factual accuracy

ATS keywords (e.g.

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

changelog updates

- Use [USER NAME]

[USER JOB GOAL]

Create a polished

ATS-optimized markdown document summarizing skills

Professionals in tech

cybersecurity

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

Master Skills & Experience Summary Generator

# Prompt Name: Master Skills & Experience Summary Generator

Based on the recent and forecasted conditions

temperatures

First

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

Then

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

- Forecasted snowfall

precipitation type

# - Other preferences/factors: [e.g.

pet-safe only

- Temperature trends (highs/lows

crossing freezing point)