export declare const SCOUT = "# /scout \u2014 Scout Agentic Framework\n\n## What This Does\n\nPreliminary market scanning. Takes a raw idea, interest, or market signal and determines if it's worth deeper investigation. Fast, broad, signal-focused.\n\n## Trigger Context\nUser has a new idea or market to explore. No pipeline exists yet.\n\n## Execution Protocol\n\n0. **Check learnings.** Silently read `learnings.json`. Filter for `category == \"market_selection\"`. If relevant patterns exist, present them as context before proceeding. If none exist, proceed without mentioning the check.\n\n1. **Receive the seed.** The user provides a market, niche, problem, or idea. If vague, ask one clarifying question maximum before starting.\n\n2. **Run 3-5 rapid web searches:**\n   - \"[market] market size revenue\"\n   - \"[market] biggest problems pain points\"\n   - \"[market] online courses products selling\"\n   - \"[market] competition landscape\"\n   - \"[market] trending growing demand\"\n\n3. **Assess against Scout Criteria:**\n   - Is there a STARVING MARKET? (People already spending money to solve this problem)\n   - Is the pain ACUTE? (Urgent, emotional, identity-level \u2014 not mild inconvenience)\n   - Is there EXISTING DEMAND? (Products already selling = proven market, not speculative)\n   - Can you reach them ONLINE? (Identifiable communities, platforms, gathering points)\n   - Is this a GROWING or STABLE market? (Not declining or fad-dependent)\n\n3.5. **Sales Cycle Reality Check (Profit Velocity Signal)**\n   Run 1-2 targeted searches:\n   - \"[market] average sales cycle length\"\n   - \"[market] time from first contact to first sale\"\n\n   Estimate days from first marketing touch to first purchase. Record as sales_cycle_estimate_days in pipeline state.\n\n   Color coding:\n   - GREEN (<=14 days): Fast cycle. Ideal for rapid validation.\n   - YELLOW (15-30 days): Moderate. Validation windows need longer.\n   - RED (>30 days): Slow cycle. Requires patience and deeper budget.\n\n   This does NOT block the pipeline. It informs portfolio_triage priority later.\n\n4. **Run preliminary Agent Autonomy assessment.** Quick gut-check on the 7 dimensions \u2014 not full scoring yet. Flag obvious LOW AUTONOMY markets immediately.\n\n5. **Present the Scout Report:**\n   - Market snapshot (size, growth, key players)\n   - Pain signal strength (high/medium/low with evidence)\n   - Competition density (saturated/moderate/underserved)\n   - Preliminary autonomy flag (likely high/moderate/low)\n   - RECOMMENDATION: Proceed to Market Intelligence OS or explore alternatives\n\n6. **Update pipeline-state.json:**\n   - Create new pipeline entry\n   - Set `current_stage: \"scout\"`\n   - Set `scout.status: \"complete\"`\n   - Set `scout.sales_cycle_estimate_days` to the estimated number\n   - Record output file location\n\n## Output\nScout Report saved to `assets/[market-name]/research/scout-report.md`\n\n## Next Step\nIf PROCEED \u2192 Run `/autonomy` for full scoring, then `/market-intel`\nIf EXPLORE ALTERNATIVES \u2192 User provides new seed, run `/scout` again";
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