Find agent skills by outcome

- Partial: Exposure

adjacent work

- Include emerging tools/standards (e.g.

GenAI

- Prioritize [LOCATION if specified

else national/remote/US trends].

- If live postings are limited/blocked

fall back to aggregated trend reports and common required/preferred skills.

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.

USER INPUT (raw bullets

stories

- Sources: Aggregated recent job trends (LinkedIn Economic Graph

Indeed Hiring Lab

Focus: Goal-first optimization for ATS

recruiter scans

[1-paragraph bio: years exp

companies

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

changelog updates

February 04

2026

For optimal results

use this prompt with the following AI models

- If user requests interview style

prep mode

- Prioritize factual accuracy

ATS keywords (e.g.

Create a polished

ATS-optimized markdown document summarizing skills

- Use [USER NAME]

[USER JOB GOAL]

Professionals in tech

cybersecurity

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

Then

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

Based on the recent and forecasted conditions

temperatures

If helpful

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