feat(growth): L2 技能进化核心 — PatternAggregator+SkillGenerator+QualityGate+EvolutionEngine

- PatternAggregator: 经验模式聚合，找出 reuse_count>=threshold 的可固化模式
- SkillGenerator: LLM prompt 构建 + JSON 解析 + 自动提取 JSON 块
- QualityGate: 置信度/冲突/格式质量门控
- EvolutionEngine: 中枢调度器，协调 L2 触发检查+技能生成+质量验证

新增 24 个测试（87→111），全 workspace 0 error。

crates/zclaw-growth/src/skill_generator.rs

@@ -0,0 +1,205 @@
+//! 技能生成器
+//! 将聚合的经验模式通过 LLM 转化为 SKILL.md 内容
+//! 提供 prompt 构建和 JSON 结果解析
+
+use crate::pattern_aggregator::AggregatedPattern;
+use zclaw_types::Result;
+
+/// 技能候选项
+#[derive(Debug, Clone)]
+pub struct SkillCandidate {
+    pub name: String,
+    pub description: String,
+    pub triggers: Vec<String>,
+    pub tools: Vec<String>,
+    pub body_markdown: String,
+    pub source_pattern: String,
+    pub confidence: f32,
+}
+
+/// LLM 驱动的技能生成 prompt
+const SKILL_GENERATION_PROMPT: &str = r#"
+你是一个技能设计专家。根据以下用户反复出现的问题和解决步骤，生成一个可复用的技能定义。
+
+问题模式：{pain_pattern}
+解决步骤：{steps}
+使用的工具：{tools}
+行业背景：{industry}
+
+请生成以下 JSON：
+```json
+{
+  "name": "技能名称（简短中文）",
+  "description": "技能描述（一段话）",
+  "triggers": ["触发词1", "触发词2", "触发词3"],
+  "tools": ["tool1", "tool2"],
+  "body_markdown": "技能的 Markdown 正文，包含步骤说明",
+  "confidence": 0.85
+}
+```
+"#;
+
+/// 技能生成器
+/// 负责 prompt 构建和 LLM 返回的 JSON 解析
+pub struct SkillGenerator;
+
+impl SkillGenerator {
+    pub fn new() -> Self {
+        Self
+    }
+
+    /// 从聚合模式构建 LLM prompt
+    pub fn build_prompt(pattern: &AggregatedPattern) -> String {
+        SKILL_GENERATION_PROMPT
+            .replace("{pain_pattern}", &pattern.pain_pattern)
+            .replace("{steps}", &pattern.common_steps.join(" → "))
+            .replace("{tools}", &pattern.tools_used.join(", "))
+            .replace("{industry}", pattern.industry_context.as_deref().unwrap_or("通用"))
+    }
+
+    /// 解析 LLM 返回的 JSON 为 SkillCandidate
+    pub fn parse_response(json_str: &str, pattern: &AggregatedPattern) -> Result<SkillCandidate> {
+        // 尝试提取 JSON 块（LLM 可能包裹在 ```json ... ``` 中）
+        let json_str = extract_json_block(json_str);
+
+        let raw: serde_json::Value = serde_json::from_str(&json_str).map_err(|e| {
+            zclaw_types::ZclawError::ConfigError(format!("Invalid skill JSON: {}", e))
+        })?;
+
+        let triggers: Vec<String> = raw["triggers"]
+            .as_array()
+            .map(|a: &Vec<serde_json::Value>| {
+                a.iter()
+                    .filter_map(|v: &serde_json::Value| v.as_str().map(String::from))
+                    .collect()
+            })
+            .unwrap_or_default();
+
+        let tools: Vec<String> = raw["tools"]
+            .as_array()
+            .map(|a: &Vec<serde_json::Value>| {
+                a.iter()
+                    .filter_map(|v: &serde_json::Value| v.as_str().map(String::from))
+                    .collect()
+            })
+            .unwrap_or_default();
+
+        Ok(SkillCandidate {
+            name: raw["name"]
+                .as_str()
+                .unwrap_or("未命名技能")
+                .to_string(),
+            description: raw["description"].as_str().unwrap_or("").to_string(),
+            triggers,
+            tools,
+            body_markdown: raw["body_markdown"].as_str().unwrap_or("").to_string(),
+            source_pattern: pattern.pain_pattern.clone(),
+            confidence: raw["confidence"].as_f64().unwrap_or(0.5) as f32,
+        })
+    }
+}
+
+/// 从 LLM 返回文本中提取 JSON 块
+fn extract_json_block(text: &str) -> &str {
+    // 尝试匹配 ```json ... ```
+    if let Some(start) = text.find("```json") {
+        let json_start = start + 7; // skip ```json
+        if let Some(end) = text[json_start..].find("```") {
+            return text[json_start..json_start + end].trim();
+        }
+    }
+    // 尝试匹配 ``` ... ```
+    if let Some(start) = text.find("```") {
+        let json_start = start + 3;
+        if let Some(end) = text[json_start..].find("```") {
+            return text[json_start..json_start + end].trim();
+        }
+    }
+    // 尝试找 { ... } 块
+    if let Some(start) = text.find('{') {
+        if let Some(end) = text.rfind('}') {
+            return &text[start..=end];
+        }
+    }
+    text.trim()
+}
+
+impl Default for SkillGenerator {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::experience_store::Experience;
+
+    fn make_pattern() -> AggregatedPattern {
+        let exp = Experience::new(
+            "agent-1",
+            "报表生成",
+            "researcher",
+            vec!["查询数据库".into(), "格式化输出".into()],
+            "success",
+        );
+        AggregatedPattern {
+            pain_pattern: "报表生成".to_string(),
+            experiences: vec![exp],
+            common_steps: vec!["查询数据库".into(), "格式化输出".into()],
+            total_reuse: 5,
+            tools_used: vec!["researcher".into()],
+            industry_context: Some("healthcare".into()),
+        }
+    }
+
+    #[test]
+    fn test_build_prompt() {
+        let pattern = make_pattern();
+        let prompt = SkillGenerator::build_prompt(&pattern);
+        assert!(prompt.contains("报表生成"));
+        assert!(prompt.contains("查询数据库"));
+        assert!(prompt.contains("researcher"));
+        assert!(prompt.contains("healthcare"));
+    }
+
+    #[test]
+    fn test_parse_response_valid_json() {
+        let pattern = make_pattern();
+        let json = r##"{"name":"每日报表","description":"生成每日报表","triggers":["报表","日报"],"tools":["researcher"],"body_markdown":"# 每日报表\n步骤1","confidence":0.9}"##;
+        let candidate = SkillGenerator::parse_response(json, &pattern).unwrap();
+        assert_eq!(candidate.name, "每日报表");
+        assert_eq!(candidate.triggers.len(), 2);
+        assert_eq!(candidate.confidence, 0.9);
+        assert_eq!(candidate.source_pattern, "报表生成");
+    }
+
+    #[test]
+    fn test_parse_response_json_block() {
+        let pattern = make_pattern();
+        let text = r#"```json
+{"name":"技能A","description":"desc","triggers":["a"],"tools":[],"body_markdown":"body","confidence":0.8}
+```"#;
+        let candidate = SkillGenerator::parse_response(text, &pattern).unwrap();
+        assert_eq!(candidate.name, "技能A");
+    }
+
+    #[test]
+    fn test_parse_response_invalid_json() {
+        let pattern = make_pattern();
+        let result = SkillGenerator::parse_response("not json at all", &pattern);
+        assert!(result.is_err());
+    }
+
+    #[test]
+    fn test_extract_json_block_with_markdown() {
+        let text = "Here is the result:\n```json\n{\"key\": \"value\"}\n```\nDone.";
+        assert_eq!(extract_json_block(text), "{\"key\": \"value\"}");
+    }
+
+    #[test]
+    fn test_extract_json_block_bare() {
+        let text = "{\"key\": \"value\"}";
+        assert_eq!(extract_json_block(text), "{\"key\": \"value\"}");
+    }
+}