Suggests transaction categorization rules during onboarding.
After a sync or import, it groups the uncategorized transactions, asks
Gemini (via laravel/ai) to map the common merchants to categories, and
shows the results for review. The user edits or drops any and creates
the ones they want. During onboarding the accepted rules also categorize
existing transactions right away.
Off by default: it needs the `AiRuleSuggestions` Pennant flag and a
per-user AI consent. The model and thresholds are config-driven.
`ai:suggest-rules {user}` prints what a user would get.
The settings-page surface and monthly regeneration are a follow-up.
## What
Adds an `agent:db` artisan command so agents (and humans) can run read
queries against the local or production database from the CLI.
```bash
php artisan agent:db "select id, email from users limit 5" # local, JSON (default)
php artisan agent:db --format=table "select count(*) from transactions" # console table
php artisan agent:db --prod "select count(*) from users" # production
```
### Options
- `--format=json` (default) — pretty-printed JSON
- `--format=table` — classic console table
- `--prod` — target the production connection (new `prod` connection
backed by `PROD_DB_URL`)
## Notes
- Read-only: uses `DB::select()`, so it won't run
`INSERT`/`UPDATE`/`DELETE`. Query errors are caught and reported.
- Adds a `querying-the-database` skill documenting the command
(auto-activates on prod/DB questions).
- De-duplicates the skills tree: `.agents/skills` is now the canonical
directory and `.claude/skills` is a symlink to it (previously both were
tracked as identical copies).
## Test plan
- [x] `php artisan test --filter=AgentDatabaseCommand` (4 passing: json,
table, invalid format, query error)
- [x] `vendor/bin/pint`
Víctor Falcón