Individual skill
ai-readiness-assessment
Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
ai-readiness-assessment/SKILL.md
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- Last checked
- Nov 10, 2026
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- Repository last updated
- Oct 20, 2026
- License
- MIT
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SKILL.mdcore · 3,656 bytesreferences/dimensions.mddoc · 14,156 bytesreferences/methodology.mddoc · 7,533 bytesreferences/output-template.mddoc · 6,128 bytes
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# AI Readiness Assessment Skill
Conduct a structured, evidence-based evaluation of a business's readiness for AI adoption across six dimensions, then produce a detailed `ai-readiness-report.md` covering scores, gap analysis, and prioritized next steps. Aligned with OneWave AI's pragmatic, ROI-driven audit methodology.
## Contents
- `references/dimensions.md` — The six dimensions, full 1-5 scoring rubric, and key questions per dimension.
- `references/methodology.md` — Information-gathering, scoring math and interpretation table, gap analysis, recommendation priorities, company-size and industry tailoring, and conversation flow.
- `references/output-template.md` — The complete `ai-readiness-report.md` structure to fill in.
## Workflow
1. Gather context. Collect information through conversation, document review, and codebase analysis. See `references/methodology.md` (Phase 1) for channels and the question set in `references/dimensions.md`.
2. Score the six dimensions. Rate each from 1 to 5 against the rubric in `references/dimensions.md`. Be honest and conservative, use half-points for nuance, and record the evidence behind every score.