Customizable Job Scanner - AI Optimized

Author: Scott M
Version: 2.0
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, etc.), company career pages
Supported AI: Claude, ChatGPT, Perplexity, Grok, etc.

Changelog

Version 1.0 (Initial Release):
Converted original cybersecurity-specific prompt to a generic template. Added placeholders for sector, skills, companies, etc. Removed Dropbox file fetch.
Version 1.1:
Added "How to Update and Customize Effectively" section with tips for maintenance. Introduced Changelog section for tracking changes. Added Version field in header.
Version 1.2:
Moved Changelog and How to Update sections to top for easier visibility/maintenance. Minor header cleanup.
Version 1.3:
Added "Job Types" subsection to filter full-time/part-time/internship. Expanded "Location" to include onsite/hybrid/remote options, home location, radius, and relocation preferences. Updated tips to cover these new customizations.
Version 1.4:
Added "Posting Window" parameter for flexible search recency (e.g., last 7/14/30 days). Updated goal header and tips to reference it.
Version 1.5:
Added "Posted Date" column to the output table for better recency visibility. Updated Output format and tips accordingly.
Version 1.6:
Added optional "Minimum Salary Threshold" filter to exclude lower-paid roles where salary is listed. Updated Output format notes and tips for salary handling.
Version 1.7:
Renamed prompt title to "Customizable Job Scanner" for broader/generic appeal. No other functional changes.
Version 1.8:
Added optional "Resume Auto-Extract Mode" at top for lazy/fast setup. AI extracts skills/experience from provided resume text. Updated tips on usage.
Version 1.9 (Previous stable release):
- Added optional "If no matches, suggest adjustments" instruction at end.
- Added "Common Tags in Sector" fallback list for thin extraction.
- Made output table optionally sortable by Posted Date descending.
- In Resume Auto-Extract Mode: AI must report extracted key facts and any added tags before showing results.
Version 2.0 (Current revised version):
- Added explicit real-time search instruction ("Act as a real-time job aggregator... use current web browsing/search capabilities") to prevent hallucinated or outdated job listings.
- Enhanced scoring system: added bonuses for verbatim/near-exact ATS keyword matches, quantifiable alignment, and very recent postings (<7 days).
- Expanded "Additional sources" to include Google Jobs, FlexJobs (remote), BuiltIn, AngelList, We Work Remotely, Remote.co.
- Improved output table: added columns for Location Type, ATS Keyword Overlap, and brief "Why Strong Match?" rationale (for 85%+ matches).
- Top Matches (90%+) section now uses bolded/highlighted rows for better visual distinction.
- Expanded no-matches suggestions with more actionable escalations (e.g., include adjacent titles, temporarily allow contract roles, remove salary filter).
- Minor wording cleanups for clarity, flow, and consistency across sections.
- Strengthened Top Instruction block to enforce live searches and proper sequencing (extract first → then search).

Top Instruction (Place this at the very beginning when you run the prompt)

"Act as my dedicated real-time job scout with current web browsing and search access.
First: [If using Resume Auto-Extract Mode: extract and summarize my skills, experience, achievements, and technical stack from the pasted resume text. Report the extraction summary including confidence levels (Expert/Strong/Inferred) before showing any job results.]
Then: Perform live, current searches only (no internal/training data or outdated knowledge). Pull the freshest postings matching my parameters below. Use the scoring system strictly. Prioritize ATS keyword alignment, recency, and my custom tags/skills."

Resume Auto-Extract Mode (Optional - For Lazy/Fast Setup)

If skipping manual Skills Reference:

Paste your full resume text here:
[PASTE RESUME TEXT HERE]
Keep the Top Instruction above with the extraction part enabled.
The AI will output something like:
"Resume Extraction Summary:
Experience: 12+ years in cybersecurity / DevOps / [sector]
Key achievements: Led X migration (Y endpoints), reduced Z by A%
Top skills (with confidence): CrowdStrike (Expert), Terraform (Strong), Python (Expert), ...
Suggested tags added: SIEM, KQL, Kubernetes, CI/CD
Proceeding with search using these."

How to Update and Customize Effectively

Use Resume Auto-Extract when short on time; verify the summary before trusting results.
Refresh Skills Reference / tags every 3–6 months or after major projects.
Use exact phrases from job postings / your resume in tags for ATS alignment.
Test across AIs; if too few results → lower threshold, extend window, add adjacent titles/tags.
For new sectors: research top keywords via LinkedIn/Indeed/Google Jobs first.

Skills Reference

(Replace manually or let AI auto-populate from resume)
Professional Overview

[Years of experience, key roles/companies]
[Major projects/achievements with numbers]

Top Skills

[Skill] (Expert/Strong): [tools/technologies]
...

Technical Stack

Common Tags in Sector (Fallback)

If extraction is thin, add relevant ones here (1 point unless core). Examples:

Cybersecurity: Splunk, SIEM, KQL, Sentinel, CrowdStrike, Zero Trust, Threat Hunting, Vulnerability Management, ISO 27001, PCI DSS, AWS Security, Azure Sentinel
DevOps/Cloud: Kubernetes, Docker, Terraform, CI/CD, Jenkins, Git, AWS, Azure, Ansible, Prometheus
Software Engineering: Python, Java, JavaScript, React, Node.js, SQL, REST API, Agile, Microservices
[Add your sector’s common tags when switching]

Job Search Parameters

Search for [job sector e.g. Cybersecurity Engineer, Senior DevOps Engineer] jobs posted in the last [Posting Window].

Posting Window

[last 14 days] (default) / last 7 days / last 30 days / since YYYY-MM-DD

Minimum Salary Threshold

[e.g. $130,000 or $120K — only filters jobs where salary is explicitly listed; set N/A to disable]

Priority Companies (check career pages directly if few results)

[Company 1] ([career page URL])
[Company 2] ([career page URL])
...

Additional Sources

LinkedIn, Indeed, Google Jobs, Glassdoor, ZipRecruiter, Dice, FlexJobs (remote), BuiltIn, AngelList, We Work Remotely, Remote.co, company career sites

Job Types

Must include: full-time, permanent
Exclude: part-time, internship, contract, temp, consulting, C2H, contractor

Location

Must match one of:

100% remote
Hybrid (partial remote)
Onsite only if within [50 miles] of East Hartford, CT (includes Hartford, Manchester, Glastonbury, etc.)
Open to relocation: [Yes/No; if Yes → anywhere in US / Northeast only / etc.]

Role Types to Include

[e.g. Security Engineer, Senior Security Engineer, Cybersecurity Analyst, InfoSec Engineer, Cloud Security Engineer]

Exclude Titles With

manager, director, head of, principal, lead (unless explicitly wanted)

Scoring System

Match job descriptions against my tags from Skills Reference + Common Tags:

Core/high-value tags: 2 points each
Standard tags: 1 point each
Bonuses:
+1–2 pts for verbatim / near-exact keyword matches (strong ATS signal)
+1 pt for quantifiable alignment (e.g. “manage large environments” vs my “120K endpoints”)
+1 pt for very recent posting (<7 days)

Match % = (total matched points / max possible points) × 100
Show only jobs ≥80%

Output Format

Posted Date: Exact if available (YYYY-MM-DD or "Posted Jan 10, 2026"); otherwise "Approx. X days ago" or N/A
Salary: Only if explicitly listed; N/A otherwise (no estimates)
Location Type: Remote / Hybrid / Onsite
ATS Overlap: e.g. "9/14 top tags matched" or "Strong keyword overlap"
Why Strong Match?: 2–3 bullet highlights (only for 85%+ matches)

Sort table by Posted Date descending (most recent first), then Match % descending.
Remove duplicates (same title + company).

Put 90%+ matches in a separate section at top called Top Matches (90%+) with bolded rows or clear highlighting.

If no strong matches:
"No strong matches found in the current window."
Then suggest adjustments:

Extend Posting Window to 30 days?
Lower threshold to 75%?
Add common sector tags (e.g. Splunk, Kubernetes, Python)?
Broaden location / include more hybrid options?
Include adjacent role titles (e.g. Cloud Engineer, Systems Engineer)?
Temporarily allow contract roles?
Remove/lower Minimum Salary Threshold?
Manually check priority company career pages for unindexed postings?

Customizable Job Scanner

Prompt