Extract ourdigital-estimate-engine; presales-seo now calls it

New skill 96-ourdigital-estimate-engine: method-aware quoting engine
(effort / coaching / procurement) with universal rate_card + per-service
catalog. Real catalogs: seo (effort), education (coaching); stubs:
digital_ads, digital_branding. Validated to reproduce real quotes —
SEO basic ₩10.5M / treatment ₩25.0M, SHR chain ₩29.5M, L'Escape basic
₩10.5M, GA4/GTM coaching ₩1,570,000, procurement +15%.

Refactor 95-ourdigital-presales-seo: remove rate_card.yaml, sow_templates.yaml,
estimate.py (migrated to engine); add findings_to_scope.py; Stage 5 now maps
findings→scope.json and calls the engine CLI. build_deck/kg_query unchanged;
end-to-end validated on SHR (29.5M) + deck renders engine estimate.json.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

custom-skills/95-ourdigital-presales-seo/scripts/build_deck.py

@@ -259,7 +259,7 @@ def main():
         tbl = s.shapes.add_table(rows, 2, Inches(0.85), Inches(2.0), Inches(11.6), Inches(0.5 * rows)).table
         tbl.columns[0].width = Inches(8.4)
         tbl.columns[1].width = Inches(3.2)
-        for j, htxt in enumerate([f"{EST.get('service', 'SEO')} — 구분", "소계"]):
+        for j, htxt in enumerate([f"{EST.get('label') or EST.get('service', 'SEO')} — 구분", "소계"]):
             c = tbl.cell(0, j)
             c.text = htxt
             c.fill.solid()