automation-readiness
Evaluates whether a skill, workflow, or process should be fully automated, partially automated with human-in-the-loop (HITL) checkpoints, or kept human-led. Implements Google DeepMind's Intelligent AI Delegation framework (arXiv:2602.11865) using an 11-axis diagnostic scorecard, hard gate vetoes, autonomy tiers, and an operational guardrail matrix. Use when deciding whether to automate a process, conducting automation risk assessments, determining delegation autonomy, or configuring monitoring and verification guardrails.
- Version
- 1.0.0
- License
- Apache-2.0
Pinned to revision b35a4c0fc585, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/automation-readiness/SKILL.md
- skills/automation-readiness/assets/assessment.example.yaml
- skills/automation-readiness/assets/report.template.md
- skills/automation-readiness/assets/scorecard.template.md
- skills/automation-readiness/references/FRAMEWORK.md
- skills/automation-readiness/scripts/score.py
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