feat: 初始化 Figma 模板库 56 套展示站

- 56 套模板元数据（35 Figma 原生 + 21 非 Figma）
- 静态展示站 (HTML/CSS/JS 无框架)：格式筛选、lightbox、搜索
- 35 个 .fig 已真上传 Figma Drafts 云端
- iframe 实时投射（登录态可看私有 Drafts）
- 部署：nginx:alpine + basic-auth (kang)

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

scripts/import-to-figma.sh

@@ -0,0 +1,41 @@
+#!/usr/bin/env bash
+# Batch open .fig files in Figma desktop app (→ Drafts)
+# Mode: "all" (72 files) or "slim" (W37 only 1, rest all = 48 files)
+set -euo pipefail
+MODE="${1:-slim}"
+ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+cd "$ROOT"
+
+python3 - "$MODE" <<'PY' > /tmp/fig-list.txt
+import json, sys, os
+mode = sys.argv[1]
+m = json.load(open("manifest.json"))
+already_opened = {"W1"}  # already done in earlier test
+files = []
+for t in m["templates"]:
+    if not t["fig"]: continue
+    figs = list(t["fig"])
+    if mode == "slim" and t["id"] == "W37":
+        figs = figs[:1]
+    for f in figs:
+        path = f'extracted/{t["id"]}/{f}'
+        if t["id"] in already_opened and figs.index(f) == 0 and t["id"] == "W1":
+            continue  # skip W1 first fig (already opened)
+        files.append(path)
+print('\n'.join(files))
+PY
+
+count=$(wc -l < /tmp/fig-list.txt | tr -d ' ')
+echo "Mode=$MODE  Files to open: $count"
+echo ""
+
+i=0
+while IFS= read -r f; do
+  i=$((i+1))
+  printf "[%2d/%d] %s\n" "$i" "$count" "$f"
+  open -a Figma "$ROOT/$f"
+  sleep 1.5
+done < /tmp/fig-list.txt
+
+echo ""
+echo "Done. All $count .fig files sent to Figma."

scripts/match-and-update.py

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+#!/usr/bin/env python3
+"""
+Match Figma cloud Drafts files (from figma-files.json) back to W{N} entries in
+manifest.json by fuzzy name match, then update web/data.json with figma_key+url.
+"""
+import json, re, sys, difflib
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parent.parent
+
+def normalize(s):
+    s = s.lower()
+    s = re.sub(r'[^a-z0-9]+', ' ', s).strip()
+    return s
+
+def best_match(target, candidates):
+    """Return (score, candidate) best match from candidates list of dicts with .name"""
+    nt = normalize(target)
+    best = (0, None)
+    for c in candidates:
+        nc = normalize(c['name'])
+        # exact / prefix / contains / sequence
+        if nt == nc:                  s = 1.0
+        elif nt in nc or nc in nt:    s = 0.85
+        else:                         s = difflib.SequenceMatcher(None, nt, nc).ratio()
+        if s > best[0]:
+            best = (s, c)
+    return best
+
+def main():
+    manifest = json.loads((ROOT/'manifest.json').read_text())
+    figma_files_path = ROOT/'figma-files.json'
+    if not figma_files_path.exists():
+        print(f"missing {figma_files_path}", file=sys.stderr)
+        sys.exit(1)
+    figma_files = json.loads(figma_files_path.read_text())  # list of {key, name, ...}
+
+    # for each W template that has fig, find matching figma file
+    matches = []
+    used_keys = set()
+    for t in manifest['templates']:
+        if not t['fig']: continue
+        # use the .fig file's stem as match target (closer than archive name)
+        targets = [Path(f).stem for f in t['fig']]
+        # add archive stem as backup
+        if t.get('archive'):
+            targets.append(Path(t['archive']).stem)
+        targets.append(t['name'])
+        # try each target
+        best_overall = (0, None)
+        for tgt in targets:
+            score, cand = best_match(tgt, [f for f in figma_files if f['key'] not in used_keys])
+            if score > best_overall[0]:
+                best_overall = (score, cand)
+                if score > 0.95:
+                    break
+        score, cand = best_overall
+        if cand and score >= 0.6:
+            used_keys.add(cand['key'])
+            matches.append({
+                'W': t['id'], 'name': t['name'], 'fig_stem': Path(t['fig'][0]).stem if t['fig'] else None,
+                'matched': cand['name'], 'key': cand['key'], 'score': round(score, 3)
+            })
+        else:
+            matches.append({
+                'W': t['id'], 'name': t['name'], 'fig_stem': Path(t['fig'][0]).stem if t['fig'] else None,
+                'matched': None, 'best_score': round(best_overall[0], 3) if cand else 0,
+                'best_candidate': cand['name'] if cand else None
+            })
+
+    # Update web/data.json
+    data_path = ROOT/'web'/'data.json'
+    data = json.loads(data_path.read_text())
+    by_W = {m['W']: m for m in matches if m.get('key')}
+    for t in data['templates']:
+        m = by_W.get(t['id'])
+        if m:
+            t['figma_key'] = m['key']
+            t['figma_url'] = f"https://www.figma.com/file/{m['key']}"
+        else:
+            t['figma_key'] = None
+            t['figma_url'] = None
+
+    # update banner with imported count
+    imported = sum(1 for t in data['templates'] if t['figma_key'])
+    data['imported_summary'] = (
+        f"✅ <b>{imported} 个 Figma 原生文件</b>已云端就位在你的 "
+        f"<a href='https://www.figma.com/files/team/1304178887825899477/drafts' target='_blank'>Figma Drafts</a>。"
+        f"点卡片打开 modal 查看 iframe 实时投射 + 跳 Figma 编辑。"
+    )
+    data_path.write_text(json.dumps(data, ensure_ascii=False, indent=2))
+
+    # write match report
+    report = ROOT/'figma-match-report.json'
+    report.write_text(json.dumps(matches, ensure_ascii=False, indent=2))
+    print(f"Matched {imported}/{sum(1 for t in manifest['templates'] if t['fig'])} fig templates")
+    print(f"Report: {report.relative_to(ROOT)}")
+    unmatched = [m for m in matches if not m.get('key')]
+    if unmatched:
+        print(f"\n⚠️  {len(unmatched)} unmatched:")
+        for m in unmatched:
+            print(f"  {m['W']:4s} {m['name'][:50]:50s} best='{m.get('best_candidate','')[:40]}' score={m.get('best_score',0)}")
+
+if __name__ == '__main__':
+    main()