Find agent skills by outcome

Focus: Goal-first optimization for ATS

recruiter scans

[1-paragraph bio: years exp

companies

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.

For optimal results

use this prompt with the following AI models

February 04

2026

Research & Learning

1. Grok (xAI): Best for real-time research integration

sci-fi flair

- 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

Create a polished

ATS-optimized markdown document summarizing skills

Professionals in tech

cybersecurity

- Use [USER NAME]

[USER JOB GOAL]

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

If helpful

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

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)

- Temperature trends (highs/lows

crossing freezing point)

- Forecasted snowfall

precipitation type

Then

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

- Other preferences/factors: [e.g.

pet-safe only