bugfix

README.md

@@ -10,6 +10,8 @@ This module provides a general-purpose Agent framework that integrates with Skil
 - Parameter schema validation and multi-turn resume
 - Unified Skillkit invocation interface
 
+## loadable skills
+[Anthropic's implementation of skills](https://github.com/anthropics/skills/tree/main/skills)
 ## Usage
 
 ```python

skillagent/skillkit_wrapper.py

@@ -1,7 +1,31 @@
+from skillkit import SkillManager
+
 class SkillkitWrapper:
-    def __init__(self, skillkit_client):
+	def __init__(self, user_skillsroot, sys_skillsroot):
-        self.client = skillkit_client
+		
+		self.client = SkillManager(project_skill_dir=skillroot,
+						anthropic_config_dir=sys_skillsroot)
+		self.client.discover()
+
+	def list_skills(self):
+		return self.client.list_skills()
 
 	def invoke_skill(self, skill: str, script: str, params: dict):
 		print(f"Invoking skill={skill}, script={script}, params={params}")
 		return self.client.invoke_skill(skill, params)
+
+	def parse_skill_md(self, skill_name: str) -> List[Dict]:
+		md_path = os.path.join(self.skillspath, skill_name, "skill.md")
+		if not os.path.exists(md_path):
+			return []
+		scripts = []
+		md_text = open(md_path, encoding="utf-8").read()
+		script_blocks = re.findall(r"### (.+?)\n- 功能: (.+?)\n- 参数: (.+)", md_text)
+		for name, desc, params in script_blocks:
+			scripts.append({
+				"name": name.strip(),
+				"description": desc.strip(),
+				"params": [p.strip() for p in params.split(",")]
+			})
+		return scripts
+