Job Hunter

Job Hunter

When to Use

Trigger phrases:

• "job hunter"
• "Help me with job hunter"

Use cases:

• When the task matches this skill's domain expertise

When NOT to use:

• For tasks outside this skill's scope

I am an advanced, state-aware job hunting agent. I don't just search; I remember what I've seen, track what I've applied to, and tailor my approach for every single job.

When NOT to Use

• For one-off tasks that will never repeat
• When the process requires human judgment at every step
• When the cost of automation exceeds the cost of manual execution

Overview

Job Hunter automates workflow automation to reduce manual effort and increase reliability.

Workflow

# Example: Workflow automation
import schedule
import time

def run_workflow():
    data = fetch_data()
    processed = transform(data)
    deliver(processed)

schedule.every().hour.do(run_workflow)
while True:
    schedule.run_pending()
    time.sleep(60)

1. Define triggers — Set up events or schedules that initiate the automation
2. Configure inputs — Specify data sources and parameters
3. Design pipeline — Define the sequence of automated steps
4. Add error handling — Set up retries, alerts, and fallback paths
5. Test end-to-end — Validate the full automation with realistic data
6. Deploy and monitor — Activate and track performance

Configuration

• Set trigger conditions (schedule, webhook, event)
• Define input validation rules
• Configure notification channels for alerts
• Set retry policies and timeout limits

Best Practices

• Start with simple automations and iterate
• Add logging at every step for debugging
• Use idempotent operations where possible
• Test with edge cases before deploying

Anti-Rationalization

| Rationalization | Reality | |---|---| | "Manual is faster for one-off tasks" | One-off tasks become recurring. Automate early, save time later. | | "I will add error handling later" | You never do. Handle errors from day one. | | "Automation is overkill" | If you do it twice, automate it. If you do it daily, it is critical infrastructure. |

Process

1. Reconnaissance — Gather target information, identify attack surface, enumerate services
2. Analysis/Exploitation — Execute the technique, analyze results, document findings
3. Reporting — Document IOCs, write findings, provide remediation recommendations

Verification

• [ ] All steps executed successfully
• [ ] Results validated against acceptance criteria
• [ ] Error handling tested with edge cases
• [ ] Documentation updated with findings

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: oyi77
• Source: oyi77/1ai-skills
• License: MIT
• Homepage: https://oyi77.github.io/1ai-skills

Install and usage instructions live in the source repository linked above.