[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M699WSWZ57B1C6ZSJ06CH74Q":3,"skill-same:01M699WSWZ57B1C6ZSJ06CH74Q":77},{"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},"01M699WSWZ57B1C6ZSJ06CH74Q","jupyter-notebook",null,"பயனர் பரிசோதனைகள், ஆராய்ச்சிகள் அல்லது பயிற்சிகளுக்காக Jupyter நோட்புக்க்களை (`.ipynb`) உருவாக்க, முதற்கட்ட அமைப்பை உருவாக்க அல்லது தொகுத்து திருத்த கேட்டால் இதைப் பயன்படுத்தவும்; இணைக்கப்பட்ட வார்ப்புருக்களை முன்னுரிமை வையவும் மற்றும் சுத்தமான தொடக்க நோட்புக் உருவாக்க உதவும் உதவி ஸ்கிரிப்ட் `new_notebook.py`-ஐ இயக்கவும்.","microsoft\u002Fai-agents-for-beginners","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M6998ZK2275KMJE6Y5SEA2X2",79423,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fta\u002F.agents\u002Fskills\u002Fjupyter-notebook\u002FSKILL.md",[],[19],"jupyter notebook","2026-11-10 10:12:30",false,"---\nname: jupyter-notebook\ndescription: பயனர் பரிசோதனைகள், ஆராய்ச்சிகள் அல்லது பயிற்சிகளுக்காக Jupyter நோட்புக்க்களை\n  (`.ipynb`) உருவாக்க, முதற்கட்ட அமைப்பை உருவாக்க அல்லது தொகுத்து திருத்த கேட்டால்\n  இதைப் பயன்படுத்தவும்; இணைக்கப்பட்ட வார்ப்புருக்களை முன்னுரிமை வையவும் மற்றும் சுத்தமான\n  தொடக்க நோட்புக் உருவாக்க உதவும் உதவி ஸ்கிரிப்ட் `new_notebook.py`-ஐ இயக்கவும்.\n---\n# Jupyter Notebook திறன்\n\nCreate clean, reproducible Jupyter notebooks for two primary modes:\n\n- பரிசோதனைகள் மற்றும் ஆராய்ச்சிசார் பகுப்பாய்வு\n- பயிற்சி மற்றும் கற்பித்தலுக்கு மையமாகிய நடைமுறை விளக்கங்கள்\n\nPrefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes.\n\n## When to use\n- Create a new `.ipynb` notebook from scratch.\n- Convert rough notes or scripts into a structured notebook.\n- Refactor an existing notebook to be more reproducible and skimmable.\n- Build experiments or tutorials that will be read or re-run by other people.\n\n## Decision tree\n- If the request is exploratory, analytical, or hypothesis-driven, choose `experiment`.\n- If the request is instructional, step-by-step, or audience-specific, choose `tutorial`.\n- If editing an existing notebook, treat it as a refactor: preserve intent and improve structure.\n\n## Skill path (set once)\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## Workflow\n1. Lock the intent.\nIdentify the notebook kind: `experiment` or `tutorial`.\nCapture the objective, audience, and what \"done\" looks like.\n\n2. Scaffold from the template.\nUse the helper script to avoid hand-authoring raw notebook JSON.\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. Fill the notebook with small, runnable steps.\nKeep each code cell focused on one step.\nAdd short markdown cells that explain the purpose and expected result.\nAvoid large, noisy outputs when a short summary works.\n\n4. Apply the right pattern.\nFor experiments, follow `references\u002Fexperiment-patterns.md`.\nFor tutorials, follow `references\u002Ftutorial-patterns.md`.\n\n5. Edit safely when working with existing notebooks.\nPreserve the notebook structure; avoid reordering cells unless it improves the top-to-bottom story.\nPrefer targeted edits over full rewrites.\nIf you must edit raw JSON, review `references\u002Fnotebook-structure.md` first.\n\n6. Validate the result.\nRun the notebook top-to-bottom when the environment allows.\nIf execution is not possible, say so explicitly and call out how to validate locally.\nUse the final pass checklist in `references\u002Fquality-checklist.md`.\n\n## Templates and helper script\n- Templates live in `assets\u002Fexperiment-template.ipynb` and `assets\u002Ftutorial-template.ipynb`.\n- The helper script loads a template, updates the title cell, and writes a notebook.\n\nScript path:\n- `$JUPYTER_NOTEBOOK_CLI` (installed default: `$CODEX_HOME\u002Fskills\u002Fjupyter-notebook\u002Fscripts\u002Fnew_notebook.py`)\n\n## Temp and output conventions\n- Use `tmp\u002Fjupyter-notebook\u002F` for intermediate files; delete when done.\n- Write final artifacts under `output\u002Fjupyter-notebook\u002F` when working in this repo.\n- Use stable, descriptive filenames (for example, `ablation-temperature.ipynb`).\n\n## Dependencies (install only when needed)\nPrefer `uv` for dependency management.\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## Environment\nNo required environment variables.\n\n## Reference map\n- `references\u002Fexperiment-patterns.md`: பரிசோதனை கட்டமைப்பு மற்றும் அனுபவவியல்.\n- `references\u002Ftutorial-patterns.md`: பயிற்சி கட்டமைப்பு மற்றும் கற்பித்தல் ஓட்டம்.\n- `references\u002Fnotebook-structure.md`: நோட்புக் JSON வடிவம் மற்றும் பாதுகாப்பான திருத்த விதிகள்.\n- `references\u002Fquality-checklist.md`: இறுதி சரிபார்ப்பு பட்டியல்.\n\n---\n\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER START -->\nமறுப்புரை:\nஇந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை Co‑op Translator (https:\u002F\u002Fgithub.com\u002FAzure\u002Fco-op-translator) பயன்படுத்தி மொழிபெயர்க்கப்பட்டது. நாங்கள் துல்லியத்திற்காக முன்னெச்சரிக்கை காட்டினாலும்கூட, தானாக செய்யப்படும் மொழிபெயர்ப்புகளில் பிழைகள் அல்லது துல்லியக்குறைவுகள் இருக்கலாம் என்பதைக் கவனத்தில் கொள்ளவும். அதன் மூல மொழியில் உள்ள அசல் ஆவணத்தை அதிகாரப்பூர்வ ஆதாரமாக கருதவேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்முறை மனித மொழிபெயர்ப்பை பயன்படுத்த பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதால் ஏற்படும் எந்தவொரு தவறான புரிதலிற்கும் அல்லது தவறாக விளக்கப்படுவதற்குமான பொறுப்பும் நாங்கள் ஏற்கமாட்டோம்.\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER END -->","# Jupyter Notebook திறன்\n\nCreate clean, reproducible Jupyter notebooks for two primary modes:\n\n- பரிசோதனைகள் மற்றும் ஆராய்ச்சிசார் பகுப்பாய்வு\n- பயிற்சி மற்றும் கற்பித்தலுக்கு மையமாகிய நடைமுறை விளக்கங்கள்\n\nPrefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes.\n\n## When to use\n- Create a new `.ipynb` notebook from scratch.\n- Convert rough notes or scripts into a structured notebook.\n- Refactor an existing notebook to be more reproducible and skimmable.\n- Build experiments or tutorials that will be read or re-run by other people.\n\n## Decision tree\n- If the request is exploratory, analytical, or hypothesis-driven, choose `experiment`.\n- If the request is instructional, step-by-step, or audience-specific, choose `tutorial`.\n- If editing an existing notebook, treat it as a refactor: preserve intent and improve structure.\n\n## Skill path (set once)\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## Workflow\n1. Lock the intent.\nIdentify the notebook kind: `experiment` or `tutorial`.\nCapture the objective, audience, and what \"done\" looks like.\n\n2. Scaffold from the template.\nUse the helper script to avoid hand-authoring raw notebook JSON.\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. Fill the notebook with small, runnable steps.\nKeep each code cell focused on one step.\nAdd short markdown cells that explain the purpose and expected result.\nAvoid large, noisy outputs when a short summary works.\n\n4. Apply the right pattern.\nFor experiments, follow `references\u002Fexperiment-patterns.md`.\nFor tutorials, follow `references\u002Ftutorial-patterns.md`.\n\n5. Edit safely when working with existing notebooks.\nPreserve the notebook structure; avoid reordering cells unless it improves the top-to-bottom story.\nPrefer targeted edits over full rewrites.\nIf you must edit raw JSON, review `references\u002Fnotebook-structure.md` first.\n\n6. Validate the result.\nRun the notebook top-to-bottom when the environment allows.\nIf execution is not possible, say so explicitly and call out how to validate locally.\nUse the final pass checklist in `references\u002Fquality-checklist.md`.\n\n## Templates and helper script\n- Templates live in `assets\u002Fexperiment-template.ipynb` and `assets\u002Ftutorial-template.ipynb`.\n- The helper script loads a template, updates the title cell, and writes a notebook.\n\nScript path:\n- `$JUPYTER_NOTEBOOK_CLI` (installed default: `$CODEX_HOME\u002Fskills\u002Fjupyter-notebook\u002Fscripts\u002Fnew_notebook.py`)\n\n## Temp and output conventions\n- Use `tmp\u002Fjupyter-notebook\u002F` for intermediate files; delete when done.\n- Write final artifacts under `output\u002Fjupyter-notebook\u002F` when working in this repo.\n- Use stable, descriptive filenames (for example, `ablation-temperature.ipynb`).\n\n## Dependencies (install only when needed)\nPrefer `uv` for dependency management.\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## Environment\nNo required environment variables.\n\n## Reference map\n- `references\u002Fexperiment-patterns.md`: பரிசோதனை கட்டமைப்பு மற்றும் அனுபவவியல்.\n- `references\u002Ftutorial-patterns.md`: பயிற்சி கட்டமைப்பு மற்றும் கற்பித்தல் ஓட்டம்.\n- `references\u002Fnotebook-structure.md`: நோட்புக் JSON வடிவம் மற்றும் பாதுகாப்பான திருத்த விதிகள்.\n- `references\u002Fquality-checklist.md`: இறுதி சரிபார்ப்பு பட்டியல்.\n\n---\n\n\u003C!-- CO-OP TRANSLATOR DISCLAIMER START -->\nமறுப்புரை:\nஇந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை Co‑op Translator (https:\u002F\u002Fgithub.com\u002FAzure\u002Fco-op-translator) பயன்படுத்தி மொழிபெயர்க்கப்பட்டது. நாங்கள் துல்லியத்திற்காக முன்னெச்சரிக்கை காட்டினாலும்கூட, தானாக செய்யப்படும் மொழிபெயர்ப்புகளில் பிழைகள் அல்லது 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