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

February 04

2026

For optimal results

use this prompt with the following AI models

Focus: Goal-first optimization for ATS

recruiter scans

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

e.g.

USER INPUT (raw bullets

stories

5. Llama (Meta): Budget option

but may require more prompting for precision.

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

changelog updates

- If user requests interview style

prep mode

- Prioritize factual accuracy

ATS keywords (e.g.

- Use [USER NAME]

[USER JOB GOAL]

Professionals in tech

cybersecurity

Create a polished

ATS-optimized markdown document summarizing skills

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

- Forecasted snowfall

precipitation type

First

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

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

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

pet-safe only

Advise on ice melt usage (if any)

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

- Temperature trends (highs/lows

crossing freezing point)