feat(agents): добавлены skills для PDF, docs, slides, jupyter и spreadsheet

- Зачем:
  - расширены возможности AI-ассистентов для работы с документами и презентациями
- Что:
  - добавлен skill pdf для работы с PDF файлами
  - добавлен skill doc для работы с Word документами
  - добавлен skill slides для создания презентаций PowerPoint
  - добавлен skill jupyter-notebook для работы с Jupyter ноутбуками
  - добавлен skill spreadsheet для работы с таблицами (Excel/CSV)
  - изменена модель Claude с sonnet на opus
- Проверка:
  - проверка доступности skills в AI-ассистентах

agents/.agents/skills/jupyter-notebook/assets/tutorial-template.ipynb

@@ -0,0 +1,107 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Tutorial: TITLE\n",
+        "\n",
+        "Audience:\n",
+        "- Describe who this is for.\n",
+        "\n",
+        "Prerequisites:\n",
+        "- List required concepts or setup.\n",
+        "\n",
+        "Learning goals:\n",
+        "- By the end, the reader can...\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Outline\n",
+        "\n",
+        "1. Setup\n",
+        "2. A minimal working example\n",
+        "3. Variations and pitfalls\n",
+        "4. Exercises\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Setup cell: keep it short and deterministic\n",
+        "from __future__ import annotations\n",
+        "\n",
+        "import math\n",
+        "import random\n",
+        "\n",
+        "SEED = 21\n",
+        "random.seed(SEED)\n",
+        "SEED\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Step 1 - Start with a tiny example\n",
+        "\n",
+        "Explain what the next cell does in plain language.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Minimal working example\n",
+        "angles = [0, math.pi / 4, math.pi / 2]\n",
+        "sines = [math.sin(a) for a in angles]\n",
+        "list(zip(angles, sines))\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Exercises\n",
+        "\n",
+        "- Try a different input.\n",
+        "- Predict the output before running the code.\n",
+        "- Note one common mistake and how to fix it.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Exercise answer scaffold\n",
+        "def describe(values: list[float]) -> dict[str, float]:\n",
+        "    return {\"min\": min(values), \"max\": max(values)}\n",
+        "\n",
+        "describe(sines)\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python",
+      "version": "3.12"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}