Skills + Claude Code：模块化技能系统

import anthropic
from pathlib import Path

def load_skill(skill_name: str) -> str:
    """加载 Skill 文件内容"""
    skill_path = Path(f"skills/{skill_name}/SKILL.md")
    if skill_path.exists():
        return skill_path.read_text(encoding="utf-8")
    return ""

def match_skill(user_input: str, skills: list[dict]) -> str | None:
    """根据用户输入匹配最合适的 Skill"""
    client = anthropic.Anthropic()
    skills_list = "\n".join([
        f"- {s['name']}: {s['description']}"
        for s in skills
    ])
    response = client.messages.create(
        model="claude-haiku-4-5-20251001",
        max_tokens=50,
        messages=[{
            "role": "user",
            "content": f"""用户请求：{user_input}

可用 Skill：
{skills_list}

返回最匹配的 Skill 名称，或 "none"（如果没有匹配的）。只返回名称，不要其他内容。"""
        }]
    )
    result = response.content[0].text.strip()
    return result if result != "none" else None

class SkillAgent:
    def __init__(self, skills_dir: str = "skills"):
        self.client = anthropic.Anthropic()
        self.skills_dir = Path(skills_dir)
        self.skills_meta = self._load_skills_meta()

    def _load_skills_meta(self) -> list[dict]:
        """扫描 skills 目录，加载所有 Skill 的元数据"""
        skills = []
        for skill_dir in self.skills_dir.iterdir():
            skill_file = skill_dir / "SKILL.md"
            if skill_file.exists():
                content = skill_file.read_text(encoding="utf-8")
                # 解析 frontmatter
                import re
                name_match = re.search(r"name:\s*(.+)", content)
                desc_match = re.search(r"description:\s*>?\s*\n([\s\S]+?)(?=\n---|\n#)", content)
                if name_match:
                    skills.append({
                        "name": name_match.group(1).strip(),
                        "description": desc_match.group(1).strip() if desc_match else "",
                        "path": str(skill_file),
                    })
        return skills

    def run(self, user_input: str) -> str:
        system_prompt = "你是一个智能助手。"

        # 匹配并加载 Skill
        matched_skill = match_skill(user_input, self.skills_meta)
        if matched_skill:
            skill_content = load_skill(matched_skill)
            system_prompt += f"\n\n# 当前激活技能：{matched_skill}\n\n{skill_content}"
            print(f"  [加载 Skill: {matched_skill}]")

        response = self.client.messages.create(
            model="claude-opus-4-5",
            max_tokens=2048,
            system=system_prompt,
            messages=[{"role": "user", "content": user_input}],
        )
        return response.content[0].text

# 使用
agent = SkillAgent()
print(agent.run("帮我审查这段 Python 代码"))
print(agent.run("数据库查询很慢怎么排查"))