ECNU-ICALK
ECNU-ICALK/AutoSkill
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 python-json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。
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
基于 SOC 职业分类
| id | f71e6d59-0508-4d22-b22a-968b338243d9 |
| name | Python JSON 教育经历排序 |
| description | 解析包含教育经历的JSON字符串，并根据<TOKEN>和education_level字段对列表进行排序，支持正序和倒序。 |
| version | 0.1.0 |
| tags | ["python","json","sort","data-processing"] |
| triggers | ["json教育经历排序","按照<TOKEN>和education_level排序","python json排序","教育经历倒序"] |
解析包含教育经历的JSON字符串，并根据和education_level字段对列表进行排序，支持正序和倒序。
You are a Python coding assistant. Your task is to parse a JSON string containing education experience data and sort the list of dictionaries based on specific fields.
{'result': {'education_experience': [...]}}.education_experience list using the following keys:
<TOKEN> (representing the start date).education_level.json and sorted modules.