Add AI Agentic Vision & IP Research sections with embedded charts

[arjunjaggi34]

Summary

Extended the Account Intelligence Report generator with two new major sections (12 & 13) covering AI agentic solutions vision and IP/research opportunities. Added high-definition chart generation capabilities using chartjs-node-canvas with four embedded visualizations: AI Readiness Radar, Opportunity Timeline, Spending Allocation doughnut, and IP Strength snapshot charts.

Key Changes

New Dependencies:

• Added chartjs-node-canvas, chart.js, and canvas to support programmatic chart generation and PNG embedding in .docx files

Data Structure Expansion:

• Extended data object with aiVision section containing AI readiness scores (5 dimensions), agentic use cases (6 tiers), delivery model, investment table, and CFO narrative
• Added ipResearch section with IP landscape assessment, research opportunities, co-innovation framework, and pioneering bets (2–3 industry-defining opportunities)
• Introduced new color constants for charts (navy, blue, teal, purple, green, amber, gold) and chart-specific hex color palette

Chart Generation System:

• Implemented generateChart() helper using ChartJSNodeCanvas for rendering Chart.js visualizations as PNG buffers
• Created chartImage() wrapper to embed chart buffers as centered, spaced ImageRun elements in document
• Built four specialized chart builders:
  • buildSpendingChart() — doughnut chart of IT spend allocation (Section 5)
  • buildOpportunityChart() — horizontal stacked bar chart of opportunity timeline by tier (Section 8)
  • buildAIRadarChart() — 5-dimension radar chart for AI readiness assessment (Section 12)
  • buildIPChart() — horizontal bar chart of IP strength by category (Section 13)

New Section Builders:

• buildSection12() — async function generating AI Readiness scorecard table with color-coded score badges, radar chart, use case roadmap table, delivery model narrative, and investment framing
• buildSection13() — async function generating IP landscape table, research opportunities table, co-innovation governance table, and pioneering bets in gold-highlighted callout boxes

UI Enhancements:

• Added scoreBadgeCell() to render colored score badges (1–5) with visual bar indicators in AI readiness table
• Added goldBox() helper to create gold-background callout boxes with border accents for pioneering bets
• Added scoreColor() utility to map AI readiness scores to semantic colors (green 4–5, amber 3, red 1–2)

Documentation Updates:

• Updated SKILL.md description and version (1.0 → 2.0) to reflect AI agentic and IP research capabilities
• Added Dimension 8 (AI Maturity & Agentic Readiness) research protocol with search queries, signal interpretation table, and scoring guidelines
• Extended report template with Section 12 & 13 structure, examples, and data entry guidance
• Added vertical-specific AI use case playbooks for Life Sciences (Pharma, Medtech, Genomics) and Financial Services (Banking) with tier assignments and complexity ratings
• Updated npm install instructions to include new chart dependencies

Implementation Details

• All chart generation is async; buildSection12() and buildSection13() are awaited before document assembly
• Charts use consistent styling (Arial font, navy/blue color scheme, white backgrounds) aligned with document design
• AI readiness scores are 1–5 scale with color-coded visual feedback; all scores must be grounded in Dimension 8 research signals
• Pioneering Bets are positioned as industry-defining innovation opportunities with thesis, moat, and risk assessment
• Investment table values are explicitly marked [ASSUMPTION — basis provided] to maintain research integrity
• All new sections maintain existing document structure (headers, spacing, table layouts, page breaks)

https://claude.ai/code/session_0197pvCUgz98NFoTZeZc2ydi