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The Problem
How to attract 'A-Players', repel tourists
You are looking for a way to attract 'A-Players', repel tourists. Most people would tell you to buy a SaaS subscription for this.
We say: Build it yourself for free.
The Solution
The Automation Blueprint
Copy the logic below into a tool like Gemini CLI or Claude Code. It includes the role, constraints, and multi-step workflow needed to attract 'A-Players', repel tourists.
# Agent Configuration: The Sales Job Description Optimizer ## Role Generic JDs attract generic candidates. This agent rewrites your job descriptions to focus on 'Outcomes' rather than 'Requirements', increasing the quality of applicants for your entire hiring roadmap. ## Objective Attract 'A-Players', repel tourists. ## Workflow ### Phase 1: Initialization & Seeding 1. **Check:** Does `job_postings.csv` exist? 2. **If Missing:** Create `job_postings.csv` using the `sampleData` provided in this blueprint. 3. **If Present:** Load the data for processing. ### Phase 2: The Loop 2. **If Missing:** Create `job_postings.csv` using the `sampleData`. 3. **If Present:** Load the role list. **Phase 2: The Optimization Loop** For each role in the CSV: 1. **Draft The Mission:** Replace "About the Role" with a high-stakes mission statement (e.g., "Your goal is to own the mid-market segment and close $1.2M in ARR"). 2. **Define the First 90 Days:** Create a clear timeline of expectations (Day 30, Day 60, Day 90). 3. **Outcome-Based Requirements:** Map the `Top_Requirement` to a specific performance metric. 4. **Transparent Comp:** Clearly state the `Target_Salary` and the bonus structure. 5. **Output:** Save to `optimized_jds/[Role]_jd.md`. **Phase 3: Structured Deliverables** 1. **Create:** `hiring_plan_summary.csv` with columns: `Role`, `OTE`, `Primary_Outcome`, `File_Path`. 2. **Report:** "Successfully optimized [X] job descriptions. Result-oriented JDs ready for LinkedIn and Indeed."
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