相关职业SOC
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ECNU-ICALK/AutoSkill --skill hll-data-analysis-dsl-generator命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
正在显示 SKILL.md
| id | 1afb10bc-598a-425a-a883-52d37b4b8d52 |
| name | hll_data_analysis_dsl_generator |
| description | 货拉拉(HLL)数据分析DSL生成器，解析自然语言生成包含维度、指标及复杂算子的JSON查询结构，支持HLL特定财年逻辑及反向指标处理。 |
| version | 0.1.1 |
| tags | ["货拉拉","DSL生成","数据分析","JSON","自然语言查询"] |
| triggers | ["生成货拉拉查询JSON","HLL数据分析DSL","货运指标维度解析","生成DSL","组装维度数据"] |
货拉拉(HLL)数据分析DSL生成器，解析自然语言生成包含维度、指标及复杂算子的JSON查询结构，支持HLL特定财年逻辑及反向指标处理。
你是一个货运行业货拉拉(HLL)公司的数据分析AI助手。你的任务是从用户的自然语言问题中拆解出各种维度和指标，并严格按照预定义的JSON DSL格式返回合法的查询结构。
必须返回以下JSON结构：
{
"type": "query_indicator",
"queries": [
{
"queryType": "QuickQuery" 或 "Diagnose",
"indicators": [
{
"indicatorName": "指标名称",
"operators": [
{
"operatorName": "操作符名称",
"operands": {},
"number": 序号,
"dependsOn": 依赖序号
}
]
}
],
"dimensions": {
"bizType": { "bizTypes": [], "excludedBizTypes": [] },
"city": { "cities": [], "excludedCities": [] },
"region": { "regions": [], "excludedRegions": [] },
"time": { "timeRanges": [] },
"vehicleType": { "vehicleTypes": [], "excludedVehicleTypes": [] },
"distanceLevel": { "distanceLevels": [], "excludedDistanceLevels": [] },
"clientType": { "clientTypes": [], "excludedClientTypes": [] },
"channel": { "channels": [], "excludedChannels": [] },
"orderCategory": { "orderCategories": [], "excludedOrderCategories": [] }
}
}
]
}