export declare const PASSIVE_PORTFOLIO = "# /passive-portfolio \u2014 Portfolio Feedback Report\n\n## What This Does\n\nGenerates a comprehensive portfolio-level feedback report across all platforms. Identifies anchors, fillers, and dead weight. Surfaces patterns. Produces next-quarter deployment priorities.\n\n## Trigger Context\n- Quarterly: every 90 days after first deployment\n- Manual: \"Portfolio check\" or `/passive-portfolio`\n- Auto-suggested by `/status` when 90 days since last portfolio review\n\n## Execution Protocol\n\n### Step 1: Collect Portfolio-Wide Metrics\n\nPresent the user with a portfolio data template:\n\n```\nPORTFOLIO DATA \u2014 Quarter [X] \u2014 [Date Range]\n\nETSY:\n  Total listings:\n  Total views (this quarter):\n  Total sales (this quarter):\n  Total revenue: $\n  Top 3 assets by revenue:\n    1. [name]: $[revenue] | [views] views | [conversion]% conv\n    2. [name]: $[revenue] | [views] views | [conversion]% conv\n    3. [name]: $[revenue] | [views] views | [conversion]% conv\n  Worst 3 assets:\n    1. [name]: $[revenue] | [views] views\n    2. [name]: $[revenue] | [views] views\n    3. [name]: $[revenue] | [views] views\n\nKDP:\n  Total titles:\n  Total sales:\n  Total KENP reads:\n  Total revenue: $\n  Top title: [name] \u2014 $[revenue]\n  Worst title: [name] \u2014 $[revenue]\n\nPAYHIP:\n  Products listed:\n  Total visitors:\n  Total sales:\n  Revenue: $\n  Avg conversion rate: %\n\nSTAN STORE (if active):\n  Revenue: $\n  Sales:\n\nWHOP (if active):\n  Revenue: $\n  Sales:\n\nTOTAL PORTFOLIO REVENUE THIS QUARTER: $\n```\n\nAccept data in any format.\n\n### Step 2: Generate Portfolio Feedback Report\n\n```\nPORTFOLIO FEEDBACK REPORT \u2014 QUARTER [X]\n\n\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n\nDEPLOYMENT SUMMARY:\n  Assets deployed this quarter: [#]\n  Assets killed this quarter: [#] ([%] kill rate)\n  Assets at ANCHOR status: [#]\n  Assets at FILLER status: [#]\n  Assets at DEAD WEIGHT: [#]\n  Total active portfolio: [#]\n  Survival rate (all-time): [%]\n\nREVENUE:\n  Quarter revenue: $[X]\n  Monthly average: $[X]\n  Month-over-month trend: [\u2191/\u2193/\u2192] [%]\n  Revenue per active asset: $[X]/mo average\n  Top 3 assets: [names] = [%] of total revenue\n  Revenue concentration risk: [healthy (<40%) / concentrated (>40%) / dangerous (>60%)]\n\nNICHE PERFORMANCE:\n| Niche | Assets | Survival Rate | Revenue | Revenue/Asset | Trend |\n|-------|--------|--------------|---------|---------------|-------|\n| [Niche 1] | [#] | [%] | $[X] | $[X] | [\u2191/\u2193/\u2192] |\n| [Niche 2] | [#] | [%] | $[X] | $[X] | [\u2191/\u2193/\u2192] |\n\nPLATFORM PERFORMANCE:\n| Platform | Assets | Revenue | Rev/Asset | Kill Rate | Best Type |\n|----------|--------|---------|-----------|-----------|-----------|\n| Etsy | [#] | $[X] | $[X] | [%] | [format] |\n| KDP | [#] | $[X] | $[X] | [%] | [format] |\n| Payhip | [#] | $[X] | $[X] | [%] | [format] |\n\nCROSS-PLATFORM LINK PERFORMANCE:\n| Link Type | Est. Clicks | Conversions | Notes |\n|-----------|------------|-------------|-------|\n| Etsy \u2192 KDP | [if trackable] | [#] | [X] |\n| KDP \u2192 Payhip | [if trackable] | [#] | [X] |\n\nSEASONAL PERFORMANCE:\n| Window | Assets | Revenue | vs. Baseline |\n|--------|--------|---------|-------------|\n| [window] | [#] | $[X] | [X]x |\n\n\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n\nPATTERN INTELLIGENCE:\n\nWhat's working:\n  - [Niche/format/price/platform combinations that survive and earn]\n\nWhat's failing:\n  - [Patterns in killed assets \u2014 format? platform? price? targeting?]\n\nSurprise signals:\n  - [Unexpected winners or niches showing potential]\n\nTherapeutic buyer confirmation:\n  - [Evidence that therapeutic targeting outperforms generic]\n\n\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n\nACTIONS \u2014 NEXT QUARTER:\n\nKILL LIST (execute immediately):\n  \u2610 [Asset name] \u2014 Platform: [X] \u2014 Reason: [dead weight criteria]\n  \u2610 [Asset name] \u2014 Platform: [X] \u2014 Reason: [dead weight criteria]\n\nCOMPOUND LIST (deploy related assets):\n  \u2610 [Anchor name] \u2014 Deploy [X] related assets (run /passive-compound)\n\nOPTIMIZE LIST (one change per asset):\n  \u2610 [Asset name] \u2014 Change: [specific optimization]\n\nSEASONAL PREP (deploy-by dates):\n  \u2610 [Seasonal asset] \u2014 Deploy by: [date] for [demand window]\n\nNEW NICHE EVALUATION:\n  \u2610 [Should you open a second niche? Based on portfolio saturation data]\n\n\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n\n12-MONTH TRAJECTORY (updated with real data):\n\n| Month | Projected Active | Projected Monthly Revenue | Actual (if data) |\n|-------|-----------------|--------------------------|-----------------|\n| [current] | [X] | $[X] | $[actual] |\n| [+3] | [X] | $[X] | \u2014 |\n| [+6] | [X] | $[X] | \u2014 |\n| [+12] | [X] | $[X] | \u2014 |\n\n\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n```\n\n### Step 3: Auto-Capture Learnings\n\nExtract portfolio-level patterns for `/lessons`:\n- Platform-specific success patterns (which formats win where)\n- Price point patterns (which ranges convert best per platform)\n- Therapeutic force correlation (do assets targeting stronger therapeutic forces survive more?)\n- Seasonal multiplier data (how much do seasonal windows amplify revenue?)\n- Kill pattern data (most common reason for asset death)\n- Compounding evidence (does catalog depth actually improve per-listing performance?)\n\n### Step 4: Save Report\n\nSave to `assets/[market-name]/passive-portfolio/quarterly-reviews/Q[X]-review.md`\nUpdate pipeline-state.json passive_portfolio metrics.\n\n## Integration with Active Pipeline\n\nIf the portfolio review reveals:\n- An ANCHOR niche with strong therapeutic buyer signals \u2192 Consider running the active pipeline for a high-ticket offer in the same niche\n- Cross-platform traffic data showing high engagement \u2192 Route to `/traffic-strategy` for paid amplification of top assets\n- A niche with zero traction across all formats \u2192 `/lessons` capture, then evaluate with `/scout` for adjacent markets\n\n## Autonomy\nTier 1 \u2014 Full Auto for report generation.\nTier 2 \u2014 Notify & Proceed for kill/compound/optimize recommendations.\n\n## Output\nPortfolio Feedback Report saved to assets folder. Action list presented inline.\n\n## Next Step\nExecute kill list \u2192 run `/passive-compound` on anchors \u2192 build seasonal assets \u2192 repeat next quarter.";
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