feat(skill): optimize loadCandidateSkills to use batch retrieval for skill definitions

internal/ai/skills/candidate_loader.go

@@ -25,21 +25,12 @@ func (l *candidateLoader) loadCandidateSkills(aiAgent *models.AIAgent) []models.
 		return nil
 	}
 	skillIDs := utils.SplitInt64s(aiAgent.SkillIDs)
-	if len(skillIDs) == 0 {
-		return nil
-	}
+	skills := repositories.SkillDefinitionRepository.GetByIDs(sqls.DB(), skillIDs)
 	ret := make([]models.SkillDefinition, 0, len(skillIDs))
 	for _, id := range skillIDs {
-		// TODO 这里批量查询一下，批量查询返回数据的顺序需要保证和skillIDs一致
-		skill := l.getSkillByID(id)
-		if skill == nil || skill.Status != enums.StatusOk {
-			continue
+		if skill, ok := skills[id]; ok && skill.Status == enums.StatusOk {
+			ret = append(ret, skill)
 		}
-		ret = append(ret, *skill)
 	}
 	return ret
 }
-
-func (l *candidateLoader) getSkillByID(id int64) *models.SkillDefinition {
-	return repositories.SkillDefinitionRepository.Get(sqls.DB(), id)
-}