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

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 INPUT (raw bullets

stories

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

e.g.

Focus: Goal-first optimization for ATS

recruiter scans

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

changelog updates

- Prioritize factual accuracy

ATS keywords (e.g.

- If user requests interview style

prep mode

Professionals in tech

cybersecurity

- Use [USER NAME]

[USER JOB GOAL]

Create a polished

ATS-optimized markdown document summarizing skills

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

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

- Forecasted snowfall

precipitation type

Then

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

- Temperature trends (highs/lows

crossing freezing point)

Based on the recent and forecasted conditions

temperatures