What problem does it solve? Enterprise knowledge base and AI projects often fail before construction begins because outdated, conflicting, or non-compliant content is fed directly into RAG systems. This Skill provides a two-stage consulting workflow: a diagnostic stage that assesses whether an organization should start an AI/knowledge-base project now, and a solution stage that turns diagnostic conclusions into an actionable phased blueprint. ## Core Features & Use Cases - GROUND Six-Dimension Diagnosis: Score 31 indicators across Strategy, Knowledge assets, Data systems, Organization, Governance, and AI readiness, producing a maturity level (L1-L5) plus a red/yellow/green feasibility rating driven by gating indicators (operations staffing, sponsor commitment, compliance constraints). - Requirement Archaeology & Pattern Matching: Peel back stated requirements to find the real problem, match against 10 documented failure patterns (e.g., compliance cliff, no-grain-to-cook, perfectionism), with anti-circular-reasoning discipline requiring independent evidence chains. - Four-Thing Blueprint Design: Answer what to build (four-layer reference architecture with knowledge-unit schemas), what to build with (selection decision tree with 2-3 options and trade-off matrices), in what order (Phase 0-3 with exit criteria), and who maintains it (operations roles with explicit 3-year TCO budgeting). - Use Case: A 800-person cosmetics company wants AI customer service in 6 months. The Skill diagnoses a red light (no operations headcount, no written sponsor commitment, compliance gaps), then produces a Phase 0 plan that engineers the green-light conditions while giving the sponsor a limited-corpus AI pilot to present. ## Quick Start Ask the AI to evaluate whether a specific company is ready to build an enterprise knowledge base or AI assistant, providing the company's situation or existing diagnostic conclusions.
