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Post-Labor Economics

Model post-labor economies with automation shocks, distribution redesign, and policy portfolios across income, ownership, time, and services.

Why use this skill?

Model and simulate post-work economies, automation transitions, and policy frameworks for a world where labor is no longer the main channel for income.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/ivangdavila/post-labor-economics
Or

What This Skill Does

The Post-Labor Economics skill is an analytical framework designed for modeling, simulating, and strategizing socio-economic environments where human labor is no longer the primary driver of production or distribution. By leveraging a structured directory-based memory system, this skill enables you to map out complex transitions from contemporary labor-based capitalism to automated, post-work economic models. It forces the decoupling of production logic from distribution logic, ensuring that automation-driven productivity gains are systematically addressed alongside equity and power dynamics.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/post-labor-economics Ensure that you have permissions enabled for the ~/post-labor-economics/ directory, as the skill will generate specialized memory files including policy portfolios, indicator dashboards, and stress-test scenarios to maintain context over long-term projects.

Use Cases

  • Automation Strategy: Planning how to integrate AI agents and robotics into industries while mitigating the impact on existing human labor markets.
  • Policy Design: Architecting multi-tier policy bundles that address universal basic services, ownership equity, and social coordination.
  • Systemic Stress Testing: Evaluating how a regional or national economy would handle rapid shocks to employment or supply chains.
  • Economic Modeling: Developing 10+ year phased roadmaps for shifting resource allocation away from traditional wages to alternative income or access models.

Example Prompts

  1. "Analyze a scenario where 40% of logistics jobs are automated by 2030. Propose a policy portfolio that addresses baseline income, retraining for care work, and asset ownership redistribution."
  2. "Update my indicators.md file to track the ratio of energy-to-labor costs. Then, simulate the impact of these changes on local small producers over a 5-year transition phase."
  3. "Review the current scenarios.md and stress-test our proposed basic services framework against a 20% contraction in traditional tax revenue."

Tips & Limitations

  • Start with Mechanisms: The skill will refuse to provide policy recommendations unless you first define the production mechanism (e.g., automation, energy constraints). Don't skip this.
  • Think in Bundles: Do not seek 'silver bullet' solutions. The skill is designed to evaluate policy portfolios that manage security, coordination, and ownership simultaneously.
  • Human-Centricity: Always ensure your models reflect the diverse needs of displaced workers, young entrants, and care workers, as defined in the core logic. Avoid one-size-fits-all outcomes.

Metadata

Stars2102
Views1
Updated2026-03-06
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-ivangdavila-post-labor-economics": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#economics#automation#policy#sociology#future-studies
Safety Score: 4/5

Flags: file-write, file-read