Task 2: Create new data files and update types

Created five new data files for GP System Dashboard:
- src/data/profile.ts: Personal statement from CV_v4.md
- src/data/tags.ts: Sidebar tags (5 entries with color variants)
- src/data/alerts.ts: Sidebar alert flags (2 entries)
- src/data/kpis.ts: Latest Results metrics (4 KPI entries with explanations)
- src/data/skills.ts: Core technical skills as "medications" (5 entries with user-specified frequencies)

Updated src/types/pmr.ts with new interfaces:
- Tag: label + colorVariant
- Alert: message + severity + icon
- KPI: id + value + label + sub + colorVariant + explanation
- SkillMedication: full medication structure with frequency, years, proficiency, category, status, icon

All CV content matches References/CV_v4.md exactly. All quality checks pass.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

src/data/alerts.ts

@@ -0,0 +1,14 @@
+import type { Alert } from '@/types/pmr'
+
+export const alerts: Alert[] = [
+  {
+    message: '£14.6M SAVINGS IDENTIFIED',
+    severity: 'alert',
+    icon: 'AlertTriangle',
+  },
+  {
+    message: '£220M BUDGET OVERSIGHT',
+    severity: 'amber',
+    icon: 'AlertCircle',
+  },
+]

src/data/kpis.ts

@@ -0,0 +1,36 @@
+import type { KPI } from '@/types/pmr'
+
+export const kpis: KPI[] = [
+  {
+    id: 'budget',
+    value: '£220M',
+    label: 'Budget Oversight',
+    sub: 'NHS prescribing',
+    colorVariant: 'green',
+    explanation: 'Managed the ICB\'s total prescribing budget with sophisticated forecasting models identifying cost pressures and enabling proactive financial planning across Norfolk & Waveney.',
+  },
+  {
+    id: 'savings',
+    value: '£14.6M',
+    label: 'Efficiency Savings',
+    sub: 'Identified & tracked',
+    colorVariant: 'amber',
+    explanation: 'Identified and prioritised a £14.6M efficiency programme through comprehensive data analysis; achieved over-target performance through targeted, evidence-based interventions across the integrated care system.',
+  },
+  {
+    id: 'years',
+    value: '9+',
+    label: 'Years in NHS',
+    sub: 'Since 2016',
+    colorVariant: 'teal',
+    explanation: 'Continuous NHS service since August 2016, progressing from community pharmacy through prescribing data analysis to system-level population health data leadership.',
+  },
+  {
+    id: 'team',
+    value: '12',
+    label: 'Team Size Led',
+    sub: 'Cross-functional',
+    colorVariant: 'green',
+    explanation: 'Led a cross-functional team of 12 spanning data analysts, population health specialists, and pharmacists across data, analytics, and population health workstreams.',
+  },
+]

src/data/profile.ts

@@ -0,0 +1 @@
+export const personalStatement = `Healthcare leader combining clinical pharmacy expertise with proficiency in Python, SQL, and data analytics, self-taught over the past decade through a drive to find root causes in data and build the most efficient solutions to complex problems. Currently leading population health analytics for NHS Norfolk & Waveney ICB, serving a population of 1.2 million. Experienced in working with messy, real-world prescribing data at scale to deliver actionable insights—from financial scenario modelling and pharmaceutical rebate negotiation to algorithm design and population-level pathway development. Proven track record of identifying and prioritising efficiency programmes worth £14.6M+ through automated, data-driven analysis. Skilled at translating complex clinical, financial, and analytical requirements into clear recommendations for executive stakeholders.`

src/data/skills.ts

@@ -0,0 +1,59 @@
+import type { SkillMedication } from '@/types/pmr'
+
+export const skills: SkillMedication[] = [
+  {
+    id: 'data-analysis',
+    name: 'Data Analysis',
+    frequency: 'Twice daily',
+    startYear: 2016,
+    yearsOfExperience: 9,
+    proficiency: 95,
+    category: 'Technical',
+    status: 'Active',
+    icon: 'BarChart3',
+  },
+  {
+    id: 'python',
+    name: 'Python',
+    frequency: 'Daily',
+    startYear: 2019,
+    yearsOfExperience: 6,
+    proficiency: 90,
+    category: 'Technical',
+    status: 'Active',
+    icon: 'Code2',
+  },
+  {
+    id: 'sql',
+    name: 'SQL',
+    frequency: 'Daily',
+    startYear: 2018,
+    yearsOfExperience: 7,
+    proficiency: 88,
+    category: 'Technical',
+    status: 'Active',
+    icon: 'Database',
+  },
+  {
+    id: 'power-bi',
+    name: 'Power BI',
+    frequency: 'Once weekly',
+    startYear: 2020,
+    yearsOfExperience: 5,
+    proficiency: 92,
+    category: 'Technical',
+    status: 'Active',
+    icon: 'PieChart',
+  },
+  {
+    id: 'javascript-typescript',
+    name: 'JavaScript / TypeScript',
+    frequency: 'When required',
+    startYear: 2022,
+    yearsOfExperience: 3,
+    proficiency: 70,
+    category: 'Technical',
+    status: 'Active',
+    icon: 'FileCode2',
+  },
+]

src/data/tags.ts

@@ -0,0 +1,9 @@
+import type { Tag } from '@/types/pmr'
+
+export const tags: Tag[] = [
+  { label: 'Pharmacist', colorVariant: 'teal' },
+  { label: 'Data Lead', colorVariant: 'teal' },
+  { label: 'NHS', colorVariant: 'teal' },
+  { label: 'Population Health', colorVariant: 'amber' },
+  { label: 'BI & Analytics', colorVariant: 'green' },
+]

src/types/pmr.ts

@@ -113,3 +113,35 @@ export interface ReferralFormData {
   reason: string
   contactMethod: 'Email' | 'Phone' | 'LinkedIn'
 }
+
+export interface Tag {
+  label: string
+  colorVariant: 'teal' | 'amber' | 'green'
+}
+
+export interface Alert {
+  message: string
+  severity: 'alert' | 'amber'
+  icon: string
+}
+
+export interface KPI {
+  id: string
+  value: string
+  label: string
+  sub: string
+  colorVariant: 'green' | 'amber' | 'teal'
+  explanation: string
+}
+
+export interface SkillMedication {
+  id: string
+  name: string
+  frequency: string
+  startYear: number
+  yearsOfExperience: number
+  proficiency: number
+  category: 'Technical' | 'Domain' | 'Leadership'
+  status: 'Active' | 'Historical'
+  icon: string
+}