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/SKILL.md

@@ -0,0 +1,107 @@
+---
+name: "jupyter-notebook"
+description: "Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook."
+---
+
+
+# Jupyter Notebook Skill
+
+Create clean, reproducible Jupyter notebooks for two primary modes:
+
+- Experiments and exploratory analysis
+- Tutorials and teaching-oriented walkthroughs
+
+Prefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes.
+
+## When to use
+- Create a new `.ipynb` notebook from scratch.
+- Convert rough notes or scripts into a structured notebook.
+- Refactor an existing notebook to be more reproducible and skimmable.
+- Build experiments or tutorials that will be read or re-run by other people.
+
+## Decision tree
+- If the request is exploratory, analytical, or hypothesis-driven, choose `experiment`.
+- If the request is instructional, step-by-step, or audience-specific, choose `tutorial`.
+- If editing an existing notebook, treat it as a refactor: preserve intent and improve structure.
+
+## Skill path (set once)
+
+```bash
+export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
+export JUPYTER_NOTEBOOK_CLI="$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py"
+```
+
+User-scoped skills install under `$CODEX_HOME/skills` (default: `~/.codex/skills`).
+
+## Workflow
+1. Lock the intent.
+Identify the notebook kind: `experiment` or `tutorial`.
+Capture the objective, audience, and what "done" looks like.
+
+2. Scaffold from the template.
+Use the helper script to avoid hand-authoring raw notebook JSON.
+
+```bash
+uv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
+  --kind experiment \
+  --title "Compare prompt variants" \
+  --out output/jupyter-notebook/compare-prompt-variants.ipynb
+```
+
+```bash
+uv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
+  --kind tutorial \
+  --title "Intro to embeddings" \
+  --out output/jupyter-notebook/intro-to-embeddings.ipynb
+```
+
+3. Fill the notebook with small, runnable steps.
+Keep each code cell focused on one step.
+Add short markdown cells that explain the purpose and expected result.
+Avoid large, noisy outputs when a short summary works.
+
+4. Apply the right pattern.
+For experiments, follow `references/experiment-patterns.md`.
+For tutorials, follow `references/tutorial-patterns.md`.
+
+5. Edit safely when working with existing notebooks.
+Preserve the notebook structure; avoid reordering cells unless it improves the top-to-bottom story.
+Prefer targeted edits over full rewrites.
+If you must edit raw JSON, review `references/notebook-structure.md` first.
+
+6. Validate the result.
+Run the notebook top-to-bottom when the environment allows.
+If execution is not possible, say so explicitly and call out how to validate locally.
+Use the final pass checklist in `references/quality-checklist.md`.
+
+## Templates and helper script
+- Templates live in `assets/experiment-template.ipynb` and `assets/tutorial-template.ipynb`.
+- The helper script loads a template, updates the title cell, and writes a notebook.
+
+Script path:
+- `$JUPYTER_NOTEBOOK_CLI` (installed default: `$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py`)
+
+## Temp and output conventions
+- Use `tmp/jupyter-notebook/` for intermediate files; delete when done.
+- Write final artifacts under `output/jupyter-notebook/` when working in this repo.
+- Use stable, descriptive filenames (for example, `ablation-temperature.ipynb`).
+
+## Dependencies (install only when needed)
+Prefer `uv` for dependency management.
+
+Optional Python packages for local notebook execution:
+
+```bash
+uv pip install jupyterlab ipykernel
+```
+
+The bundled scaffold script uses only the Python standard library and does not require extra dependencies.
+
+## Environment
+No required environment variables.
+
+## Reference map
+- `references/experiment-patterns.md`: experiment structure and heuristics.
+- `references/tutorial-patterns.md`: tutorial structure and teaching flow.
+- `references/notebook-structure.md`: notebook JSON shape and safe editing rules.
+- `references/quality-checklist.md`: final validation checklist.