fix: improve local file matching for WeChat draft sync

- learn_edits.py: prioritize output_file field from history.yaml,
  fall back to title slug matching, then largest file
- SKILL.md: add output_file field to history.yaml schema
- Fixes wrong file match when multiple articles share the same date

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

SKILL.md

@@ -429,6 +429,7 @@ python3 {skill_dir}/toolkit/cli.py preview {markdown} --theme {theme} --no-open
   title: "{标题}"
   topic_source: "热点抓取"  # 或 "用户指定"
   topic_keywords: ["{词1}", "{词2}"]
+  output_file: "{output 文件路径}"  # e.g. output/2026-03-31-zhangxue-slow-accumulation.md
   framework: "{框架}"
   enhance_strategy: "{增强策略}"  # angle_discovery/density_boost/detail_anchoring/real_feel
   word_count: {字数}

scripts/learn_edits.py

@@ -111,13 +111,34 @@ def fetch_wechat_draft() -> tuple[str, str, str]:
     title = latest.get("title", "")
 
     # Find the local draft file
+    # Priority: output_file field → title slug match → largest file
     date = latest.get("date", "")
     output_dir = SKILL_DIR / "output"
     draft_path = None
-    if date:
-        candidates = list(output_dir.glob(f"{date}-*.md"))
-        if candidates:
+
+    # First try: exact path from history
+    output_file = latest.get("output_file", "")
+    if output_file:
+        candidate = SKILL_DIR / output_file if not Path(output_file).is_absolute() else Path(output_file)
+        if candidate.exists():
+            draft_path = candidate
+
+    if not draft_path and date:
+        candidates = sorted(output_dir.glob(f"{date}-*.md"))
+        if len(candidates) == 1:
             draft_path = candidates[0]
+        elif len(candidates) > 1:
+            # Multiple files on same date — try to match by title keywords
+            title_lower = title.lower()
+            for c in candidates:
+                slug = c.stem.replace(date + "-", "").replace("-", " ")
+                # Check if slug words appear in title
+                if any(w in title_lower for w in slug.split() if len(w) > 1):
+                    draft_path = c
+                    break
+            if not draft_path:
+                # Fallback: use the largest file (likely the final version)
+                draft_path = max(candidates, key=lambda p: p.stat().st_size)
 
     if not draft_path or not draft_path.exists():
         raise FileNotFoundError(