Drop real template library; keep CDN-only matching.

Remove build_library and runtime artifacts, ignore regenerable outputs, and add README/AGENTS/DESIGN/CHANGELOG for the simplified project.

Co-authored-by: Cursor <cursoragent@cursor.com>

recognize.py

@@ -1,12 +1,13 @@
 """Recognize the 10 drafted heroes from a strategy-time screenshot.
 
 Usage:
-    python recognize.py samples/shot2.png
-    python recognize.py samples/shot2.png --truth tinker,earthshaker,...,drow_ranger
+    python recognize.py samples/raw/draft.png
+    python recognize.py samples/raw/draft.png --truth tinker,earthshaker,...,drow_ranger
+    python recognize.py samples/raw/draft.png --sheet
 
 Outputs per-slot JSON with top-1 hero, score and margin; slots failing the
 confidence gate are reported as null. With --truth, prints accuracy and saves
-misrecognized crops to failures/ for later labeling.
+misrecognized crops to failures/ (debug only, gitignored).
 
 recognize_image() is the reusable entry point used by gsi_watch.py.
 """
@@ -58,13 +59,14 @@ def write_sheet(img: np.ndarray, results: list[dict], cfg: dict) -> str:
 
 
 def recognize_slot(crop, library, cfg, mask=None):
-    """Return (best_hero, best_score, margin, scored list)."""
-    penalty = cfg["match"]["cdn_penalty"]
+    """Return (best_hero, best_score, margin, scored list).
+
+    cfg is accepted for call-site compatibility; score gates are applied by the caller.
+    """
+    _ = cfg
     best_per_hero: dict[str, float] = {}
-    for hero, source, tmpl in library:
+    for hero, tmpl in library:
         s = match_score(crop, tmpl, mask)
-        if source == "cdn":
-            s -= penalty
         if s > best_per_hero.get(hero, -2.0):
             best_per_hero[hero] = s
     ranked = sorted(best_per_hero.items(), key=lambda kv: kv[1], reverse=True)
@@ -142,7 +144,7 @@ def main() -> None:
         sys.exit("config.json has no slots - run calibrate.py first")
     library = load_template_library()
     if not library:
-        sys.exit("template library is empty - run fetch_cdn_templates.py and/or build_library.py")
+        sys.exit("template library is empty - run fetch_cdn_templates.py")
 
     out = recognize_image(img, cfg, library)
     results = out.pop("slots")