fix(skills): load_skill技能名归一化——容忍LLM传入[产线]前缀/加粗/描述尾巴等目录层装饰

pipeline_core/skill_loader.py

@@ -189,6 +189,50 @@ def _parse_frontmatter(content: str) -> Optional[dict]:
     return result
 
 
+# ── LLM 技能名归一化（目录层装饰容错）──
+
+def normalize_skill_name(name: str) -> str:
+    """清洗 LLM 传入技能名时携带的目录层装饰噪音：
+    '[产线] bid-workflow' / '**[产线] bid-workflow**: 总纲' / 'bid-workflow（总纲）' → 'bid-workflow'。
+    技能名只含字母/数字/连字符/下划线，其余皆是装饰。"""
+    n = (name or '').strip().replace('**', '').replace('`', '')
+    n = re.sub(r'^\s*(\[[^\]]*\]\s*)+', '', n)          # scope 标签：[产线]/[通用]/[角色]（可能多个）
+    n = re.split(r'[:：]', n, 1)[0]                      # 冒号后的描述尾巴
+    n = re.split(r'\s+[—–-]\s+', n, 1)[0]                # 破折号描述（两侧须有空白，不伤 bid-workflow 自带连字符）
+    n = re.sub(r'\s*[（(][^）)]*[）)]\s*$', '', n)        # 尾部括号注释
+    return n.strip()
+
+
+def resolve_skill(merged: Dict[str, "Skill"], name: str) -> Optional["Skill"]:
+    """按名称在 merged 中查技能，容忍 LLM 装饰。
+    匹配顺序：精确 → 清洗后精确 → 忽略大小写 → 子串唯一命中。"""
+    if not name:
+        return None
+    if name in merged:
+        return merged[name]
+    cleaned = normalize_skill_name(name)
+    if cleaned in merged:
+        return merged[cleaned]
+    lower_map = {k.lower(): k for k in merged}
+    if cleaned.lower() in lower_map:
+        return merged[lower_map[cleaned.lower()]]
+    if len(cleaned) >= 4:
+        hits = [k for k in merged if k in cleaned or cleaned in k]
+        if len(hits) == 1:
+            return merged[hits[0]]
+    return None
+
+
+def format_skill_names(merged: Dict[str, "Skill"], limit: int = 60) -> str:
+    """FAIL 提示用技能名列表：高优先级 scope（role/pipeline/project/org）排前，超出截断。"""
+    ordered = sorted(merged.values(), key=lambda s: (-SCOPE_PRIORITY.get(s.scope, 0), s.name))
+    names = [s.name for s in ordered[:limit]]
+    text = ", ".join(names)
+    if len(merged) > len(names):
+        text += f" …(还有 {len(merged) - len(names)} 个)"
+    return text or "（无可用技能）"
+
+
 # ── 六级技能加载器 ──
 
 class SkillLoader: