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hiring-decision-analyzer

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Hiring Decision Analyzer

Evaluates whether to hire, contract, or automate a business function. Analyzes role requirements, calculates total cost of employment versus alternatives, assesses build-vs-buy for capabilities, and recommends the optimal staffing decision with financial projections.

What This Skill Produces

  • Structured, quantified deliverables with specific dollar amounts
  • Industry-aware analysis with built-in benchmarks
  • Actionable recommendations with prioritized next steps

Access

This skill definition is available to Cognify clients and partners.

To learn more or request access: cognify.com | LinkedIn

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Source

git clone https://github.com/Yarmoluk/cognify-skills/blob/main/.github/skills/hiring-decision-analyzer/SKILL.mdView on GitHub

Overview

The Hiring Decision Analyzer evaluates whether to hire, contract, or automate a business function by analyzing role requirements, total cost of employment vs alternatives, and build-vs-buy considerations. It delivers structured, quantified results and a recommended staffing decision with financial projections.

How This Skill Works

It ingests function scope, role requirements, and cost data, computes total cost of employment against outsourcing and automation options, and runs build-vs-buy scenarios using industry benchmarks. The output includes structured deliverables with dollar figures and a clear staffing recommendation with financial projections.

When to Use It

  • You are evaluating whether to hire, contract, or automate a core business function.
  • You need robust total cost of ownership and ROI before a staffing decision.
  • You are assessing a new capability and deciding between building in-house or buying from a vendor.
  • Workloads are seasonal or uncertain and you require scenario-based staffing guidance.
  • You want benchmarked, financially grounded staffing decisions across teams or departments.

Quick Start

  1. Step 1: Gather function scope, role requirements, and cost data (salaries, contractor rates, automation costs).
  2. Step 2: Run cost-models comparing hire, contract, and automate options using build-vs-buy logic.
  3. Step 3: Review outputs and implement the recommended staffing decision with financial projections.

Best Practices

  • Define the full scope, outcomes, and success criteria for the function before modeling.
  • Gather complete role requirements and use relevant industry benchmarks for context.
  • Model all cost components: salaries, benefits, taxes, contractor rates, and automation licenses.
  • Run multiple scenarios with sensitivity analysis to understand risk and upside.
  • Present clear financial projections and prioritized next steps to decision-makers.

Example Use Cases

  • A mid-market firm weighing a data entry function as hire vs outsourcing vs automation.
  • A customer support team deciding between full-time agents, contractors, or a chat automation solution.
  • A finance team evaluating in-house FP&A staff versus outsourced services with automation options.
  • A SaaS company comparing in-house billing automation build vs third-party vendor solution.
  • A manufacturing site assessing on-site technicians against remote contractors and automated monitoring.

Frequently Asked Questions

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