[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M699HAWZQ3HCZGXRKPMP08H1":3,"skill-same:01M699HAWZQ3HCZGXRKPMP08H1":125},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":25,"commitSha":26,"skillDirectory":27,"forksCount":28,"repositoryHtmlUrl":29,"repositoryHomepageUrl":30,"ownerHtmlUrl":31,"ownerBlogUrl":32,"ownerDescription":33,"updatedAt":34,"install":35,"resources":48},"01M699HAWZQ3HCZGXRKPMP08H1","jupyter-notebook",null,"Gunakan saat pengguna meminta untuk membuat, membangun kerangka, atau mengedit notebook Jupyter (`.ipynb`) untuk eksperimen, eksplorasi, atau tutorial; utamakan templat bawaan dan jalankan skrip pembantu `new_notebook.py` untuk menghasilkan notebook awal yang bersih.","microsoft\u002Fai-agents-for-beginners","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M6998ZK2275KMJE6Y5SEA2X2",79567,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fid\u002F.agents\u002Fskills\u002Fjupyter-notebook\u002FSKILL.md",[],[19],"jupyter notebook","2026-11-10 10:12:30",false,"---\nname: jupyter-notebook\ndescription: Gunakan saat pengguna meminta untuk membuat, membangun kerangka, atau\n  mengedit notebook Jupyter (`.ipynb`) untuk eksperimen, eksplorasi, atau tutorial;\n  utamakan templat bawaan dan jalankan skrip pembantu `new_notebook.py` untuk menghasilkan\n  notebook awal yang bersih.\n---\n# Keterampilan Jupyter Notebook\n\nBuat notebook Jupyter yang bersih dan dapat direproduksi untuk dua mode utama:\n\n- Eksperimen dan analisis eksploratori\n- Tutorial dan panduan berorientasi pengajaran\n\nUtamakan template bawaan dan skrip pembantu untuk struktur yang konsisten dan lebih sedikit kesalahan JSON.\n\n## Kapan digunakan\n- Buat notebook `.ipynb` baru dari awal.\n- Konversi catatan kasar atau skrip menjadi notebook yang terstruktur.\n- Refaktor notebook yang ada agar lebih dapat direproduksi dan mudah dibaca.\n- Bangun eksperimen atau tutorial yang akan dibaca atau dijalankan ulang oleh orang lain.\n\n## Pohon keputusan\n- Jika permintaan bersifat eksploratori, analitis, atau berorientasi hipotesis, pilih `experiment`.\n- Jika permintaan bersifat instruksional, langkah-demi-langkah, atau spesifik audiens, pilih `tutorial`.\n- Jika mengedit notebook yang sudah ada, perlakukan sebagai refaktor: pertahankan maksud dan perbaiki struktur.\n\n## Jalur keterampilan (atur sekali)\n\n```bash\nexport CODEX_HOME=\"${CODEX_HOME:-$HOME\u002F.codex}\"\nexport JUPYTER_NOTEBOOK_CLI=\"$CODEX_HOME\u002Fskills\u002Fjupyter-notebook\u002Fscripts\u002Fnew_notebook.py\"\n```\n\nUser-scoped skills install under `$CODEX_HOME\u002Fskills` (default: `~\u002F.codex\u002Fskills`).\n\n## Alur kerja\n1. Kunci tujuan.\nIdentifikasi jenis notebook: `experiment` atau `tutorial`.\nCatat tujuan, audiens, dan seperti apa \"selesai\".\n\n2. Buat kerangka dari template.\nGunakan skrip pembantu untuk menghindari menulis JSON notebook mentah secara manual.\n\n```bash\nuv run --python 3.12 python \"$JUPYTER_NOTEBOOK_CLI\" \\\n  --kind experiment \\\n  --title \"Compare prompt variants\" \\\n  --out output\u002Fjupyter-notebook\u002Fcompare-prompt-variants.ipynb\n```\n\n```bash\nuv run --python 3.12 python \"$JUPYTER_NOTEBOOK_CLI\" \\\n  --kind tutorial \\\n  --title \"Intro to embeddings\" \\\n  --out output\u002Fjupyter-notebook\u002Fintro-to-embeddings.ipynb\n```\n\n3. Isi notebook dengan langkah-langkah kecil yang dapat dijalankan.\nPastikan setiap sel kode fokus pada satu langkah.\nTambahkan sel markdown singkat yang menjelaskan tujuan dan hasil yang diharapkan.\nHindari keluaran besar yang berisik ketika ringkasan singkat sudah memadai.\n\n4. Terapkan pola yang tepat.\nUntuk eksperimen, ikuti `references\u002Fexperiment-patterns.md`.\nUntuk tutorial, ikuti `references\u002Ftutorial-patterns.md`.\n\n5. Edit dengan aman saat bekerja pada notebook yang ada.\nPertahankan struktur notebook; hindari mengubah urutan sel kecuali itu memperbaiki alur dari atas ke bawah.\nUtamakan suntingan terarah daripada penulisan ulang penuh.\nJika harus mengedit JSON mentah, tinjau `references\u002Fnotebook-structure.md` terlebih dahulu.\n\n6. Validasi hasil.\nJalankan notebook dari atas ke bawah bila lingkungan memungkinkan.\nJika eksekusi tidak memungkinkan, nyatakan secara eksplisit dan jelaskan cara memvalidasinya secara lokal.\nGunakan daftar periksa akhir di `references\u002Fquality-checklist.md`.\n\n## Template dan skrip pembantu\n- Template berada di `assets\u002Fexperiment-template.ipynb` dan `assets\u002Ftutorial-template.ipynb`.\n- Skrip pembantu memuat template, memperbarui sel judul, dan menulis notebook.\n\nScript path:\n- `$JUPYTER_NOTEBOOK_CLI` (default terinstal: `$CODEX_HOME\u002Fskills\u002Fjupyter-notebook\u002Fscripts\u002Fnew_notebook.py`)\n\n## Konvensi sementara dan keluaran\n- Gunakan `tmp\u002Fjupyter-notebook\u002F` untuk file sementara; hapus saat selesai.\n- Tulis artefak akhir di `output\u002Fjupyter-notebook\u002F` saat bekerja di repo ini.\n- Gunakan nama file yang stabil dan deskriptif (misalnya, `ablation-temperature.ipynb`).\n\n## Dependensi (pasang hanya bila diperlukan)\nUtamakan `uv` untuk manajemen dependensi.\n\nOptional Python packages for local notebook execution:\n\n```bash\nuv pip install jupyterlab ipykernel\n```\n\nThe bundled scaffold script uses only the Python standard library and does not require extra dependencies.\n\n## Lingkungan\nTidak ada variabel lingkungan yang diperlukan.\n\n## Peta referensi\n- `references\u002Fexperiment-patterns.md`: struktur eksperimen dan heuristik.\n- `references\u002Ftutorial-patterns.md`: struktur tutorial dan alur pengajaran.\n- `references\u002Fnotebook-structure.md`: bentuk JSON notebook dan aturan pengeditan aman.\n- `references\u002Fquality-checklist.md`: daftar periksa validasi akhir.\n\n---\n\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**Penafian**:\nDokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https:\u002F\u002Fgithub.com\u002FAzure\u002Fco-op-translator). Meskipun kami berupaya memastikan keakuratan, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemah profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau salah tafsir yang timbul dari penggunaan terjemahan ini.\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER END -->","# Keterampilan Jupyter Notebook\n\nBuat notebook Jupyter yang bersih dan dapat direproduksi untuk dua mode utama:\n\n- Eksperimen dan analisis eksploratori\n- Tutorial dan panduan berorientasi pengajaran\n\nUtamakan template bawaan dan skrip pembantu untuk struktur yang konsisten dan lebih sedikit kesalahan JSON.\n\n## Kapan digunakan\n- Buat notebook `.ipynb` baru dari awal.\n- Konversi catatan kasar atau skrip menjadi notebook yang terstruktur.\n- Refaktor notebook yang ada agar lebih dapat direproduksi dan mudah dibaca.\n- Bangun eksperimen atau tutorial yang akan dibaca atau dijalankan ulang oleh orang lain.\n\n## Pohon keputusan\n- Jika permintaan bersifat eksploratori, analitis, atau berorientasi hipotesis, pilih `experiment`.\n- Jika permintaan bersifat instruksional, langkah-demi-langkah, atau spesifik audiens, pilih `tutorial`.\n- Jika mengedit notebook yang sudah ada, perlakukan sebagai refaktor: pertahankan maksud dan perbaiki struktur.\n\n## Jalur keterampilan (atur sekali)\n\n```bash\nexport CODEX_HOME=\"${CODEX_HOME:-$HOME\u002F.codex}\"\nexport JUPYTER_NOTEBOOK_CLI=\"$CODEX_HOME\u002Fskills\u002Fjupyter-notebook\u002Fscripts\u002Fnew_notebook.py\"\n```\n\nUser-scoped skills install under `$CODEX_HOME\u002Fskills` (default: `~\u002F.codex\u002Fskills`).\n\n## Alur kerja\n1. Kunci tujuan.\nIdentifikasi jenis notebook: `experiment` atau `tutorial`.\nCatat tujuan, audiens, dan seperti apa \"selesai\".\n\n2. Buat kerangka dari template.\nGunakan skrip pembantu untuk menghindari menulis JSON notebook mentah secara manual.\n\n```bash\nuv run --python 3.12 python \"$JUPYTER_NOTEBOOK_CLI\" \\\n  --kind experiment \\\n  --title \"Compare prompt variants\" \\\n  --out output\u002Fjupyter-notebook\u002Fcompare-prompt-variants.ipynb\n```\n\n```bash\nuv run --python 3.12 python \"$JUPYTER_NOTEBOOK_CLI\" \\\n  --kind tutorial \\\n  --title \"Intro to embeddings\" \\\n  --out output\u002Fjupyter-notebook\u002Fintro-to-embeddings.ipynb\n```\n\n3. Isi notebook dengan langkah-langkah kecil yang dapat dijalankan.\nPastikan setiap sel kode fokus pada satu langkah.\nTambahkan sel markdown singkat yang menjelaskan tujuan dan hasil yang diharapkan.\nHindari keluaran besar yang berisik ketika ringkasan singkat sudah memadai.\n\n4. Terapkan pola yang tepat.\nUntuk eksperimen, ikuti `references\u002Fexperiment-patterns.md`.\nUntuk tutorial, ikuti `references\u002Ftutorial-patterns.md`.\n\n5. Edit dengan aman saat bekerja pada notebook yang ada.\nPertahankan struktur notebook; hindari mengubah urutan sel kecuali itu memperbaiki alur dari atas ke bawah.\nUtamakan suntingan terarah daripada penulisan ulang penuh.\nJika harus mengedit JSON mentah, tinjau `references\u002Fnotebook-structure.md` terlebih dahulu.\n\n6. Validasi hasil.\nJalankan notebook dari atas ke bawah bila lingkungan memungkinkan.\nJika eksekusi tidak memungkinkan, nyatakan secara eksplisit dan jelaskan cara memvalidasinya secara lokal.\nGunakan daftar periksa akhir di `references\u002Fquality-checklist.md`.\n\n## Template dan skrip pembantu\n- Template berada di `assets\u002Fexperiment-template.ipynb` dan `assets\u002Ftutorial-template.ipynb`.\n- Skrip pembantu memuat template, memperbarui sel judul, dan menulis notebook.\n\nScript path:\n- `$JUPYTER_NOTEBOOK_CLI` (default terinstal: `$CODEX_HOME\u002Fskills\u002Fjupyter-notebook\u002Fscripts\u002Fnew_notebook.py`)\n\n## Konvensi sementara dan keluaran\n- Gunakan `tmp\u002Fjupyter-notebook\u002F` untuk file sementara; hapus saat selesai.\n- Tulis artefak akhir di `output\u002Fjupyter-notebook\u002F` saat bekerja di repo ini.\n- Gunakan nama file yang stabil dan deskriptif (misalnya, `ablation-temperature.ipynb`).\n\n## Dependensi (pasang hanya bila diperlukan)\nUtamakan `uv` untuk manajemen dependensi.\n\nOptional Python packages for local notebook execution:\n\n```bash\nuv pip install jupyterlab ipykernel\n```\n\nThe bundled scaffold script uses only the Python standard library and does not require extra dependencies.\n\n## Lingkungan\nTidak ada variabel lingkungan yang diperlukan.\n\n## Peta referensi\n- `references\u002Fexperiment-patterns.md`: struktur eksperimen dan heuristik.\n- `references\u002Ftutorial-patterns.md`: struktur tutorial dan alur pengajaran.\n- `references\u002Fnotebook-structure.md`: bentuk JSON notebook dan aturan pengeditan aman.\n- `references\u002Fquality-checklist.md`: daftar periksa validasi akhir.\n\n---\n\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**Penafian**:\nDokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https:\u002F\u002Fgithub.com\u002FAzure\u002Fco-op-translator). Meskipun kami berupaya memastikan keakuratan, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemah profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau salah tafsir yang timbul dari penggunaan terjemahan ini.\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER END -->",{"name":5,"description":7},"main","f09e94ffe170f8af6d3db7c42987bbe4db227723","translations\u002Fid\u002F.agents\u002Fskills\u002Fjupyter-notebook",26057,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners","https:\u002F\u002Faka.ms\u002Fai-agents-beginners","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-07 12:51:12",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add microsoft\u002Fai-agents-for-beginners --skill jupyter-notebook",{"tool":41,"command":42},"bunx","bunx skills add microsoft\u002Fai-agents-for-beginners --skill jupyter-notebook",{"tool":44,"command":45},"pnpm","pnpm dlx skills add 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