Find agent skills by outcome

- Software Engineering: Python

Java

- Cybersecurity: Splunk

SIEM

If extraction is thin

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

- [Years of experience

key roles/companies]

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

Terraform (Strong)

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

extend window

- Suggested tags added: SIEM

KQL

- Key achievements: Led X migration (Y endpoints)

reduced Z by A%

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

experience

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

include adjacent titles

- Minor wording cleanups for clarity

flow

- Improved output table: added columns for Location Type

ATS Keyword Overlap

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

quantifiable alignment

- Added optional If no matches

suggest adjustments instruction at end.

- Expanded Additional sources to include Google Jobs

FlexJobs (remote)

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

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

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

skills

Audience: Job boards (LinkedIn

Indeed

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.

Coding & Debugging

Claude Code Skill (Slash Command): review-and-commit.md

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Customizable Job Scanner

# Customizable Job Scanner - AI Optimized

allowed-tools: Bash(git add:*)

Bash(git status:*)

If the user provides new information post-report

reassess confidence