Add C-Level strategy view draft and auto-deploy workflow

- Add strategy_v2.py: Simplified C-level dashboard with:
- 4 input sliders (portfolio, lease price, mfg cost, cycles)
- Break-even hero metric at portfolio level
- Total portfolio profit display
- Unit economics (revenue/cost per product & portfolio)
- Circular vs Linear comparison cards
- Cost/Revenue trajectory chart by cycles
- At Scale section with customer base projection
- 5-year cumulative profit chart

- Update deploy-hf.md skill for automatic deployment
- Update CLAUDE.md with HF deployment instructions

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

.claude/skills/deploy-hf.md

@@ -5,51 +5,51 @@ Deploy the simulator to Hugging Face Space.
 ## Usage
 
 ```
-/deploy-hf
+/deploy-hf [commit message]
 ```
 
 ## Instructions
 
-1. **Ensure you're on main branch:**
-   ```bash
-   git checkout main
-   ```
+This skill automatically commits and deploys changes to Hugging Face Spaces.
 
-2. **Verify all tests pass:**
-   ```bash
-   pytest tests/ -v
-   ```
+1. **Stage and commit changes:**
+   - Stage modified files (app.py, strategy_v2.py, etc.)
+   - Generate commit message from changes if not provided
+   - Commit with Co-Authored-By tag
 
-3. **Push to HF Space:**
+2. **Push to HF Space:**
    ```bash
-   git push hf main --force
+   git push hf main
    ```
 
-   If `hf` remote not configured:
-   ```bash
-   git remote add hf https://huggingface.co/spaces/Liisdotcom/simulator
-   ```
+3. **Confirm deployment:**
+   - Output the HF Spaces URL
+   - Note that rebuild takes 1-2 minutes
 
-## Prerequisites
+## Auto-Deploy Workflow
+
+When iterating on this project, ALWAYS deploy after making changes:
+
+```bash
+# 1. Add changed files
+git add app.py strategy_v2.py  # or specific files changed
 
-- Must be on `main` branch (not `dev`)
-- All tests must pass
-- HF remote must be configured with write access
+# 2. Commit with descriptive message
+git commit -m "Description of changes
 
-## Via GitHub Actions (Recommended)
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>"
 
-1. Go to GitHub repo → Actions → "Deploy to HF Space"
-2. Click "Run workflow"
-3. Type "deploy" to confirm
-4. Wait for deployment to complete
+# 3. Push to HF
+git push hf main
+```
+
+## Prerequisites
 
-This method:
-- Runs tests before deploying
-- Uses stored HF_TOKEN secret
-- Creates deployment summary
+- HF remote configured: `git remote add hf https://huggingface.co/spaces/Liisdotcom/simulator`
+- Write access to the Space
 
 ## After Deployment
 
-Verify at: https://huggingface.co/spaces/Liisdotcom/simulator
+Live at: https://huggingface.co/spaces/Liisdotcom/simulator
 
-The Space will rebuild automatically (1-2 minutes).
+The Space rebuilds automatically (1-2 minutes).

CLAUDE.md

@@ -129,15 +129,28 @@ revenue_per_customer = lease_price * lease_term
 
 ## Deployment
 
-**Streamlit Cloud (recommended):**
-1. Go to share.streamlit.io
-2. Connect GitHub repo (must be public or grant org access)
-3. Deploy `app.py` from `main` branch
+### Hugging Face Spaces (Primary)
 
-**Local:**
+**IMPORTANT: Always deploy after each iteration!**
+
+After making any changes, commit and push to HF:
+```bash
+git add <changed-files>
+git commit -m "Description
+
+Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>"
+git push hf main
+```
+
+Live at: https://huggingface.co/spaces/Liisdotcom/simulator
+
+Use `/deploy-hf` skill or manually run the commands above.
+
+### Local Development
 ```bash
 pip install -r requirements.txt
-streamlit run app.py
+streamlit run app.py           # Main dashboard
+streamlit run strategy_v2.py   # C-Level strategy view (draft)
 ```
 
 ## Tech Stack

strategy_v2.py

@@ -0,0 +1,449 @@
+"""
+LiiS Circular Economy Simulator - C-Level View (Draft)
+Simplified executive dashboard focused on portfolio-level economics.
+
+Run with: streamlit run strategy_v2.py
+"""
+
+import streamlit as st
+import plotly.graph_objects as go
+import pandas as pd
+import plotly.io as pio
+
+# Set Plotly to dark theme
+pio.templates.default = "plotly_dark"
+
+# Page config
+st.set_page_config(
+    page_title="LiiS Strategy",
+    page_icon="💼",
+    layout="wide",
+)
+
+# Custom CSS
+st.markdown("""
+<style>
+    .main-header {
+        background: linear-gradient(135deg, #1a472a 0%, #2ecc71 100%);
+        padding: 1.5rem 2rem;
+        border-radius: 12px;
+        margin-bottom: 1.5rem;
+        box-shadow: 0 4px 20px rgba(46, 204, 113, 0.3);
+    }
+    .main-header h1 { color: white; margin: 0; font-size: 2rem; }
+    .main-header p { color: rgba(255,255,255,0.9); margin: 0.5rem 0 0 0; }
+    [data-testid="stMetricValue"] { font-size: 2rem; }
+    .hero-metric {
+        background: linear-gradient(135deg, #2c3e50 0%, #34495e 100%);
+        padding: 1.5rem;
+        border-radius: 12px;
+        border-left: 4px solid #2ecc71;
+        margin-bottom: 1rem;
+    }
+    .hero-metric h2 { color: #2ecc71; margin: 0; font-size: 2.5rem; }
+    .hero-metric p { color: #888; margin: 0.3rem 0 0 0; font-size: 0.9rem; }
+    .tier-header {
+        color: #888;
+        font-size: 0.75rem;
+        text-transform: uppercase;
+        letter-spacing: 1px;
+        margin-bottom: 0.5rem;
+    }
+    .comparison-card {
+        background: #2c3e50;
+        padding: 1.5rem;
+        border-radius: 12px;
+        text-align: center;
+    }
+    .winner { border: 2px solid #2ecc71; }
+</style>
+""", unsafe_allow_html=True)
+
+# Header
+st.markdown("""
+<div class="main-header">
+    <h1>💼 LiiS Strategy Dashboard</h1>
+    <p>C-Level View — Portfolio Economics & Break-Even Analysis</p>
+</div>
+""", unsafe_allow_html=True)
+
+# ============================================================
+# SIDEBAR - INPUT CONTROLS (4 Sliders)
+# ============================================================
+st.sidebar.header("Portfolio Parameters")
+st.sidebar.caption("Adjust to see impact on profitability")
+
+portfolio_size = st.sidebar.slider(
+    "Product Portfolio",
+    min_value=50, max_value=1000, value=300, step=50,
+    help="Number of units in your fleet"
+)
+
+monthly_lease = st.sidebar.slider(
+    "Monthly Lease Price",
+    min_value=250, max_value=650, value=250, step=25,
+    format="%d NOK",
+    help="What customers pay per month"
+)
+
+mfg_cost = st.sidebar.slider(
+    "Manufacturing Cost",
+    min_value=2500, max_value=7500, value=2500, step=250,
+    format="%d NOK",
+    help="Cost to produce one unit"
+)
+
+reuse_cycles = st.sidebar.slider(
+    "Reuse Cycles",
+    min_value=2, max_value=10, value=3, step=1,
+    help="How many families use each product"
+)
+
+# ============================================================
+# CALCULATIONS
+# ============================================================
+
+# Per-product economics
+lease_term_months = 12  # Each cycle is 12 months
+revenue_per_product = monthly_lease * lease_term_months * reuse_cycles
+
+# Costs per product (simplified model)
+logistics_per_cycle = 150  # NOK - pickup + delivery per cycle
+repair_per_cycle = 200  # NOK - average repair/refurb per cycle
+total_cost_per_product = mfg_cost + (logistics_per_cycle + repair_per_cycle) * reuse_cycles
+blended_cost_per_product = total_cost_per_product / reuse_cycles
+
+# Profit per product
+profit_per_product = revenue_per_product - total_cost_per_product
+operating_margin = (profit_per_product / revenue_per_product) * 100 if revenue_per_product > 0 else 0
+
+# Portfolio level
+revenue_portfolio = portfolio_size * revenue_per_product
+cost_portfolio = portfolio_size * total_cost_per_product
+blended_cost_portfolio = portfolio_size * blended_cost_per_product
+profit_portfolio = portfolio_size * profit_per_product
+
+# Break-even calculation (months)
+monthly_revenue_portfolio = portfolio_size * monthly_lease
+monthly_cost_portfolio = portfolio_size * (repair_per_cycle / lease_term_months)  # Monthly degradation
+initial_investment = portfolio_size * mfg_cost
+
+# Cumulative profit over time to find break-even
+breakeven_month = None
+cumulative = -initial_investment
+for month in range(1, 121):
+    # Add logistics cost at cycle transitions
+    if month % lease_term_months == 0:
+        cumulative -= portfolio_size * logistics_per_cycle
+    cumulative += monthly_revenue_portfolio - monthly_cost_portfolio
+    if cumulative >= 0 and breakeven_month is None:
+        breakeven_month = month
+        break
+
+if breakeven_month is None:
+    breakeven_month = "> 120"
+
+# Linear model comparison
+linear_margin = 0.20  # 20% typical retail margin
+linear_profit_per_sale = mfg_cost * linear_margin / (1 - linear_margin)  # Selling at cost + margin
+linear_revenue_per_product = mfg_cost / (1 - linear_margin)
+linear_breakeven_units = int(initial_investment / linear_profit_per_sale) if linear_profit_per_sale > 0 else 999
+# Time to sell that many units (assume 1 sale per unit in portfolio per cycle)
+linear_breakeven_months = max(24, int(linear_breakeven_units / portfolio_size * lease_term_months))
+
+# ============================================================
+# TIER 1: PRIMARY METRICS
+# ============================================================
+st.markdown('<p class="tier-header">Tier 1 — Primary Metrics</p>', unsafe_allow_html=True)
+
+hero_col1, hero_col2 = st.columns(2)
+
+with hero_col1:
+    st.markdown(f"""
+    <div class="hero-metric">
+        <p>BREAK EVEN</p>
+        <h2>{breakeven_month} MONTHS</h2>
+        <p>For entire portfolio of {portfolio_size:,} units</p>
+    </div>
+    """, unsafe_allow_html=True)
+
+with hero_col2:
+    profit_color = "#2ecc71" if profit_portfolio > 0 else "#e74c3c"
+    st.markdown(f"""
+    <div class="hero-metric">
+        <p>TOTAL PORTFOLIO PROFIT</p>
+        <h2 style="color: {profit_color}">{profit_portfolio:,.0f} NOK</h2>
+        <p>Net revenue across {portfolio_size:,} units over {reuse_cycles} cycles</p>
+    </div>
+    """, unsafe_allow_html=True)
+
+st.markdown("---")
+
+# ============================================================
+# TIER 2: SUPPORTING METRICS
+# ============================================================
+st.markdown('<p class="tier-header">Tier 2 — Unit Economics</p>', unsafe_allow_html=True)
+
+metric_col1, metric_col2, metric_col3 = st.columns(3)
+
+with metric_col1:
+    st.metric(
+        "Revenue per Product",
+        f"{revenue_per_product:,.0f} NOK",
+        delta=f"{monthly_lease} × {lease_term_months}mo × {reuse_cycles} cycles",
+        help="Total revenue generated by one product over its lifetime"
+    )
+    st.metric(
+        "Revenue per Portfolio",
+        f"{revenue_portfolio:,.0f} NOK",
+        delta=f"{portfolio_size:,} units",
+        help="Total portfolio revenue"
+    )
+
+with metric_col2:
+    st.metric(
+        "Blended Cost per Product",
+        f"{blended_cost_per_product:,.0f} NOK",
+        delta=f"Total {total_cost_per_product:,.0f} ÷ {reuse_cycles} cycles",
+        help="Average cost per cycle (manufacturing + logistics + repair)"
+    )
+    st.metric(
+        "Blended Cost per Portfolio",
+        f"{blended_cost_portfolio:,.0f} NOK",
+        delta=f"{portfolio_size:,} units",
+        help="Total portfolio blended cost"
+    )
+
+with metric_col3:
+    margin_color = "normal" if operating_margin >= 50 else "off"
+    st.metric(
+        "Operating Margin",
+        f"{operating_margin:.0f}%",
+        delta="healthy" if operating_margin >= 50 else "review pricing",
+        delta_color=margin_color,
+        help="Profit / Revenue - same for all units"
+    )
+    st.metric(
+        "Profit per Product",
+        f"{profit_per_product:,.0f} NOK",
+        delta="lifetime profit",
+        help="Revenue - Total Cost per product"
+    )
+
+st.markdown("---")
+
+# ============================================================
+# CHART 1: Break Even Comparison
+# ============================================================
+st.markdown('<p class="tier-header">Tier 2 — Model Comparison</p>', unsafe_allow_html=True)
+st.subheader("Break Even: Circular vs Linear Model")
+
+comp_col1, comp_col2 = st.columns(2)
+
+with comp_col1:
+    st.markdown(f"""
+    <div class="comparison-card">
+        <p style="color: #888; margin: 0;">LINEAR MODEL</p>
+        <h2 style="color: #e74c3c; margin: 0.5rem 0;">{linear_breakeven_months} MONTHS</h2>
+        <p style="color: #888; margin: 0;">{linear_margin*100:.0f}% margin</p>
+        <p style="color: #666; font-size: 0.8rem; margin-top: 0.5rem;">Sell once, done</p>
+    </div>
+    """, unsafe_allow_html=True)
+
+with comp_col2:
+    st.markdown(f"""
+    <div class="comparison-card winner">
+        <p style="color: #888; margin: 0;">CIRCULAR MODEL</p>
+        <h2 style="color: #2ecc71; margin: 0.5rem 0;">{breakeven_month} MONTHS</h2>
+        <p style="color: #2ecc71; margin: 0;">{operating_margin:.0f}% margin ← BETTER</p>
+        <p style="color: #666; font-size: 0.8rem; margin-top: 0.5rem;">Reuse {reuse_cycles}× per product</p>
+    </div>
+    """, unsafe_allow_html=True)
+
+st.markdown("---")
+
+# ============================================================
+# CHART 2: Blended Cost vs Revenue Across Cycles
+# ============================================================
+st.subheader("Cost & Revenue Trajectory by Reuse Cycles")
+
+cycles_range = list(range(2, 11))
+chart_data = []
+
+for c in cycles_range:
+    rev = monthly_lease * lease_term_months * c
+    total_cost = mfg_cost + (logistics_per_cycle + repair_per_cycle) * c
+    blended = total_cost / c
+    profit = rev - total_cost
+    margin = (profit / rev) * 100 if rev > 0 else 0
+
+    chart_data.append({
+        "Cycles": c,
+        "Revenue": rev,
+        "Total Cost": total_cost,
+        "Blended Cost": blended,
+        "Profit": profit,
+        "Margin": margin,
+    })
+
+chart_df = pd.DataFrame(chart_data)
+
+fig_cycles = go.Figure()
+
+# Revenue line (constant per cycle × cycles)
+fig_cycles.add_trace(go.Scatter(
+    x=chart_df["Cycles"],
+    y=chart_df["Revenue"],
+    mode="lines+markers",
+    name="Revenue per Product",
+    line=dict(color="#2ecc71", width=3),
+    marker=dict(size=8),
+))
+
+# Blended cost line (decreasing)
+fig_cycles.add_trace(go.Scatter(
+    x=chart_df["Cycles"],
+    y=chart_df["Blended Cost"],
+    mode="lines+markers",
+    name="Blended Cost per Product",
+    line=dict(color="#e74c3c", width=3),
+    marker=dict(size=8),
+))
+
+# Total cost line
+fig_cycles.add_trace(go.Scatter(
+    x=chart_df["Cycles"],
+    y=chart_df["Total Cost"],
+    mode="lines+markers",
+    name="Total Cost per Product",
+    line=dict(color="#e74c3c", width=2, dash="dot"),
+    marker=dict(size=6),
+    opacity=0.6,
+))
+
+# Mark current cycles
+fig_cycles.add_vline(
+    x=reuse_cycles, line_dash="dash", line_color="#f1c40f",
+    annotation_text=f"Current: {reuse_cycles} cycles",
+    annotation_position="top"
+)
+
+fig_cycles.update_layout(
+    xaxis_title="Reuse Cycles",
+    yaxis_title="NOK per Product",
+    legend=dict(orientation="h", yanchor="bottom", y=1.02),
+    hovermode="x unified",
+)
+
+st.plotly_chart(fig_cycles, use_container_width=True)
+
+st.info(f"**Key insight:** More cycles = lower blended cost = higher profit. At {reuse_cycles} cycles, blended cost is {blended_cost_per_product:,.0f} NOK vs {mfg_cost:,} NOK manufacturing cost.")
+
+st.markdown("---")
+
+# ============================================================
+# TIER 3: AT SCALE
+# ============================================================
+st.markdown('<p class="tier-header">Tier 3 — Scale Understanding</p>', unsafe_allow_html=True)
+st.subheader("At Scale: Customer Base Projection")
+
+scale_col1, scale_col2 = st.columns([1, 2])
+
+with scale_col1:
+    customer_base = st.slider(
+        "Customer Base",
+        min_value=500, max_value=10000, value=1000, step=100,
+        help="Target number of active customers"
+    )
+
+    utilization_rate = 0.80  # 80% of fleet in use at any time
+    fleet_needed = int(customer_base / utilization_rate)
+
+    annual_revenue_scale = customer_base * monthly_lease * lease_term_months
+    total_cost_scale = fleet_needed * blended_cost_per_product
+    annual_profit_scale = annual_revenue_scale - total_cost_scale
+
+    st.metric("Fleet Size Needed", f"{fleet_needed:,} units", delta=f"{utilization_rate*100:.0f}% utilization")
+    st.metric("Annual Revenue", f"{annual_revenue_scale:,.0f} NOK", delta=f"{customer_base:,} customers")
+    st.metric("Total Blended Cost", f"{total_cost_scale:,.0f} NOK", delta=f"{fleet_needed:,} units")
+
+    profit_delta = "profit" if annual_profit_scale > 0 else "loss"
+    st.metric("Annual Profit", f"{annual_profit_scale:,.0f} NOK", delta=profit_delta)
+
+with scale_col2:
+    # Chart 3: 5-Year Cumulative Profit
+    st.markdown("**5-Year Cumulative Profit Trajectory**")
+
+    # Calculate with 10% utilization decline per cycle
+    months = list(range(0, 61))
+    cumulative_profit = []
+    cumulative = -fleet_needed * mfg_cost  # Initial investment
+    current_utilization = utilization_rate
+
+    for month in months:
+        if month == 0:
+            cumulative_profit.append(cumulative)
+            continue
+
+        # Decline utilization at each cycle end
+        if month > 0 and month % lease_term_months == 0:
+            current_utilization = max(0.5, current_utilization - 0.10)
+            cumulative -= fleet_needed * logistics_per_cycle  # Logistics at cycle transition
+
+        active_customers = int(fleet_needed * current_utilization)
+        monthly_rev = active_customers * monthly_lease
+        monthly_cost = active_customers * (repair_per_cycle / lease_term_months)
+        cumulative += monthly_rev - monthly_cost
+        cumulative_profit.append(cumulative)
+
+    fig_trajectory = go.Figure()
+
+    fig_trajectory.add_trace(go.Scatter(
+        x=months,
+        y=cumulative_profit,
+        mode="lines",
+        name="Cumulative Profit",
+        line=dict(color="#2ecc71", width=3),
+        fill="tozeroy",
+        fillcolor="rgba(46, 204, 113, 0.2)",
+    ))
+
+    # Add zero line
+    fig_trajectory.add_hline(y=0, line_color="rgba(255,255,255,0.5)", line_width=1)
+
+    # Mark cycle transitions
+    for cycle_month in range(lease_term_months, 61, lease_term_months):
+        fig_trajectory.add_vline(
+            x=cycle_month, line_dash="dot", line_color="rgba(255,255,255,0.3)",
+        )
+
+    # Find and mark breakeven
+    for i, cp in enumerate(cumulative_profit):
+        if cp >= 0 and i > 0:
+            fig_trajectory.add_trace(go.Scatter(
+                x=[i], y=[cp],
+                mode="markers+text",
+                name="Breakeven",
+                marker=dict(size=12, color="#f1c40f", symbol="star"),
+                text=["Breakeven"],
+                textposition="top center",
+            ))
+            break
+
+    fig_trajectory.update_layout(
+        xaxis_title="Months",
+        yaxis_title="Cumulative Profit (NOK)",
+        showlegend=False,
+        yaxis=dict(tickformat=","),
+    )
+
+    st.plotly_chart(fig_trajectory, use_container_width=True)
+
+    final_profit = cumulative_profit[-1]
+    st.caption(f"5-year projection with {fleet_needed:,} unit fleet. Final cumulative profit: **{final_profit:,.0f} NOK**")
+
+# ============================================================
+# FOOTER
+# ============================================================
+st.markdown("---")
+st.caption(f"Portfolio: {portfolio_size:,} units | Lease: {monthly_lease} NOK/mo | Mfg: {mfg_cost:,} NOK | Cycles: {reuse_cycles}")