feat: externalize apps/analysis to Gitea repos, add analysis table

- Migration 007: repo_url on apps table + analysis table with FTS5
- Analysis struct, parser, CRUD, validation, hash computation
- Selective purge: remote-only apps/analysis preserved across fn index
- CLI: fn app list/clone/pull, fn analysis list/clone/pull
- search/show/list now include analysis results
- Apps removed from git tracking (content lives in Gitea repos)
- .gitkeep for apps/ and analysis/ dirs
- Bash functions: jupyter analysis pipeline, shell utilities
- Browser domain: CDP functions moved from infra to browser

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

bash/functions/pipelines/init_jupyter_analysis.md

@@ -0,0 +1,63 @@
+---
+name: init_jupyter_analysis
+kind: pipeline
+lang: bash
+domain: pipelines
+version: "1.0.0"
+purity: impure
+signature: "init_jupyter_analysis(nombre: string, [...paquetes_extra: string]) -> void"
+description: "Inicializa un analisis Jupyter completo en analysis/{nombre}/ con venv, paquetes, launcher, MCP y reglas para agentes Claude. Acepta paquetes extra opcionales."
+tags: [jupyter, analysis, setup, pipeline, bash, launcher]
+uses_functions:
+  - assert_command_exists_bash_shell
+  - find_free_port_bash_shell
+  - init_uv_venv_bash_infra
+  - uv_add_packages_bash_infra
+  - write_jupyter_launcher_bash_infra
+  - write_mcp_jupyter_config_bash_infra
+  - write_claude_jupyter_rules_bash_infra
+  - write_jupyter_registry_kernel_bash_infra
+uses_types: []
+returns: []
+returns_optional: false
+error_type: "error_go_core"
+imports: []
+tested: false
+tests: []
+test_file_path: ""
+file_path: "bash/functions/pipelines/init_jupyter_analysis.sh"
+---
+
+## Ejemplo
+
+```bash
+# Analisis basico
+./init_jupyter_analysis.sh finanzas
+
+# Con paquetes extra
+./init_jupyter_analysis.sh duckdb polars duckdb
+./init_jupyter_analysis.sh ml scikit-learn torch
+
+# Via fn run
+fn run init_jupyter_analysis finanzas
+fn run init_jupyter_analysis ml scikit-learn torch
+```
+
+## Flujo
+
+1. `assert_command_exists` — verifica que uv o python3 estan disponibles
+2. Crea estructura `analysis/{nombre}/notebooks/` y `analysis/{nombre}/data/`
+3. `init_uv_venv` — crea venv en `analysis/{nombre}/.venv/`
+4. `uv_add_packages` — instala jupyter, jupyterlab, jupyter-collaboration, jupyter-mcp-server, pandas, numpy, matplotlib + extras
+5. `write_jupyter_launcher` — genera `run-jupyter-lab.sh` con modo colaborativo
+6. `find_free_port` + `write_mcp_jupyter_config` — detecta puerto libre y genera `.mcp.json`
+7. `write_claude_jupyter_rules` — genera `.claude/CLAUDE.md` con reglas de agente
+8. `write_jupyter_registry_kernel` — genera IPython startup con `fn_query`, `fn_search`, `fn_code` y acceso a `python/functions/`
+
+## Notas
+
+Cada analisis es independiente (propio venv, propio Jupyter, propio MCP). Mismo patron que `apps/` pero para exploraciones no reutilizables.
+
+El pipeline usa `set -euo pipefail` — cualquier fallo detiene la ejecucion.
+
+Paquetes base siempre incluidos: jupyter, jupyterlab, jupyter-collaboration, jupyter-mcp-server, pandas, numpy, matplotlib. Los paquetes extra se añaden a estos.