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/experiment-template.ipynb

@@ -0,0 +1,110 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Experiment: TITLE\n",
+        "\n",
+        "Objective:\n",
+        "- State the question you want to answer.\n",
+        "- Define the success criteria.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Setup: imports and reproducibility\n",
+        "from __future__ import annotations\n",
+        "\n",
+        "import random\n",
+        "import statistics\n",
+        "\n",
+        "SEED = 7\n",
+        "random.seed(SEED)\n",
+        "SEED\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Plan\n",
+        "\n",
+        "- Hypothesis:\n",
+        "- Variables to sweep:\n",
+        "- Metrics to record:\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Define parameters and lightweight helpers\n",
+        "sample_size = 20\n",
+        "values = [random.random() for _ in range(sample_size)]\n",
+        "summary = {\n",
+        "    \"count\": len(values),\n",
+        "    \"mean\": statistics.fmean(values),\n",
+        "    \"min\": min(values),\n",
+        "    \"max\": max(values),\n",
+        "}\n",
+        "summary\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Results\n",
+        "\n",
+        "- Key observations:\n",
+        "- Surprises or failure modes:\n",
+        "- Decision: continue, pivot, or stop:\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# Record findings in a minimal, copy-pasteable structure\n",
+        "result = {\n",
+        "    \"seed\": SEED,\n",
+        "    \"mean\": summary[\"mean\"],\n",
+        "    \"range\": summary[\"max\"] - summary[\"min\"],\n",
+        "}\n",
+        "result\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Next steps\n",
+        "\n",
+        "- What to try next:\n",
+        "- What to document elsewhere (PRD, notes, issue):\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python",
+      "version": "3.12"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}