Find agent skills by outcome

If extraction is thin

add relevant ones here (1 point unless core). Examples:

- Test across AIs; if too few results → lower threshold

extend window

- Suggested tags added: SIEM

KQL

- Top skills (with confidence): CrowdStrike (Expert)

Terraform (Strong)

- Key achievements: Led X migration (Y endpoints)

reduced Z by A%

First: [If using Resume Auto-Extract Mode: extract and summarize my skills

experience

- Improved output table: added columns for Location Type

ATS Keyword Overlap

- Minor wording cleanups for clarity

flow

- Expanded no-matches suggestions with more actionable escalations (e.g.

include adjacent titles

- Added optional If no matches

suggest adjustments instruction at end.

- Expanded Additional sources to include Google Jobs

FlexJobs (remote)

- Enhanced scoring system: added bonuses for verbatim/near-exact ATS keyword matches

quantifiable alignment

Converted original cybersecurity-specific prompt to a generic template. Added placeholders for sector

skills

Added Posting Window parameter for flexible search recency (e.g.

last 7/14/30 days). Updated goal header and tips to reference it.

Supported AI: Claude

ChatGPT

Goal: Surface 80%+ matching [job sector] roles posted within the specified window (default: last 14 days)

using real-time web searches across major job boards and company career sites.

Audience: Job boards (LinkedIn

Indeed

Customizable Job Scanner

# Customizable Job Scanner - AI Optimized

allowed-tools: Bash(git add:*)

Bash(git status:*)

Pokemon master

Take the input image, and use it is face and apply it to be Ash the Pokemon master image with his favorite character pikachu.

If the user provides new information post-report

reassess confidence

- External factors (e.g.

supply chain

Otherwise (Moderate/High confidence)

use full structure below.

For each resource

note: