ai-readiness-assessment

# 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. 3. Calculate the overall score. Apply the weighted formula and map it to a readiness level using the table in `references/methodology.md` (Phase 2). 4. Run the gap analysis. For each dimension below 4.0, document current state, target state, the gap, its impact, and the effort to close it (Phase 3). 5. Build recommendations. Produce priorit...