Multi-agentPersonal Development & CareerAdvancedFree

Job Search & Application Optimization System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready job search & application optimization system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT Β· Claude Β· Gemini
Variables4
DifficultyAdvanced
CategoryPersonal Development & Career
SEQUENCE MAP Β· CLICK TO JUMP
Β· 01 Β·
Target Job Researcher
Β· 02 Β·
Resume Optimizer
Β· 03 Β·
Cover Letter & Application System Builder
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{target_role}}
Target role
Target role
SEO content strategist
{{target_industry_companies}}
Target industry companies
Target industry companies
AI education and prompt templates
{{current_resume_quality}}
Current resume quality
Current resume quality
Job Search & Application Optimization System example context
{{job_search_timeline}}
Job search timeline
Job search timeline
launching in 4 weeks
THE AGENTS

The 3-step sequence.

01
AGENT Β· TARGET JOB

Target Job Researcher

GOAL OF THIS STEP

Map the job market for the target role. Define: the exact job titles to search (primary + 5 variations that describe the same role), the top 20 target companies (based on growth stage, culture, learning opportunity, compensation), the key skills that appear in 80%+ of job descriptions (ATS keywords to include in resume), the compensation range (current market rate in India for this role by city and company size), and the best platforms to find these roles (LinkedIn / Naukri / Wellfound / Cutshort / direct applications).

EXPECTED OUTPUT

5 job title variations + 20 target companies + ATS keywords + compensation range + 5 best platforms

agent-01-target-job-researcher.md
### Input
Target role, industry, timeline

### Task
Map the job market for the target role. Define: the exact job titles to search (primary + 5 variations that describe the same role), the top 20 target companies (based on growth stage, culture, learning opportunity, compensation), the key skills that appear in 80%+ of job descriptions (ATS keywords to include in resume), the compensation range (current market rate in India for this role by city and company size), and the best platforms to find these roles (LinkedIn / Naukri / Wellfound / Cutshort / direct applications).

### Output
5 job title variations + 20 target companies + ATS keywords + compensation range + 5 best platforms
02
AGENT Β· RESUME OPTIMIZER

Resume Optimizer

03
AGENT Β· COVER LETTER

Cover Letter & Application System Builder

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window β€” every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Target Job Researcher

5 job title variations + 20 target companies + ATS keywords + compensation range + 5 best platforms

Resume Optimizer

Fully optimized resume structure with sample bullet point rewrites showing Action + Metric + Impact format

Cover Letter & Application System Builder

Cover letter template + referral outreach + cold LinkedIn message + application tracker columns

β˜… MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free