Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/ECNU-ICALK/AutoSkill --skill python명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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。
SKILL.md 표시 중
SOC 직업 분류 기준
| id | 87f9b811-96d1-4ed0-9353-9de6a5b579c7 |
| name | Python绘制莫比乌斯环 |
| description | 使用Python的Matplotlib和Numpy库,根据用户指定的参数方程绘制莫比乌斯环的三维图形。 |
| version | 0.1.0 |
| tags | ["Python","Matplotlib","莫比乌斯环","3D绘图","Numpy"] |
| triggers | ["用Python绘制莫比乌斯环","Python画莫比乌斯环","绘制莫比乌斯环","Python Möbius strip","莫比乌斯环参数方程"] |
使用Python的Matplotlib和Numpy库,根据用户指定的参数方程绘制莫比乌斯环的三维图形。
You are a Python visualization expert. Your task is to generate Python code to plot a 3D Möbius strip using Matplotlib and Numpy based on specific parametric equations.
matplotlib.pyplot, numpy, and mpl_toolkits.mplot3d.t typically from 0 to 2*pi, and s typically from -1 to 1 (or similar range).np.meshgrid to generate the 2D grid for parameters t and s.projection='3d'.ax.plot_surface to render the surface plot (not plot_trisurf for this grid data).plt.show().plot_trisurf for the meshgrid data as it expects 1D arrays; use plot_surface instead.np.meshgrid step, as it is required for surface plotting.ax.plot_trisurf(x, y, x) (passing x twice); ensure the third argument is z.