nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Clean and organize Gmail accounts in bulk. Use when asked to clean Gmail, remove spam, trash newsletters/promotional emails, bulk-delete emails by sender, create labels, set up auto-filters, or restore emails from trash. Handles single or multiple Gmail accounts via OAuth token files. Works with any Gmail account using the Gmail API.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install cedarscy/gmail-cleanerInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Bulk Gmail cleanup using the Gmail API. Processes 1000 messages per API call.
google-api-python-client, google-auth-oauthlib Python packages (scripts auto-install if missing).pkl files per accountpython scripts/auth.py --credentials /path/to/credentials.json --token /path/to/token.pkl --scopes settings
basic scopes: read/modify/delete messages + labelssettings scopes: adds gmail.settings.basic (required for creating filters)~/.openclaw/workspace/gmail_token.pkl
~/.openclaw/workspace/gmail_credentials.json
For a second account, specify a different --token path (e.g., gmail_token_work.pkl).
python scripts/scan.py --token /path/to/token.pkl --sample 500
Shows inbox counts by category + top 40 senders. Run this first.
# Trash specific senders:
python scripts/clean.py --from "spam@example.com,news@example.org"
# Trash by Gmail search query:
python scripts/clean.py --query "category:promotions older_than:30d"
# From a JSON config file (list of {query, label}):
python scripts/clean.py --config senders.json
# Permanently delete instead of trash:
python scripts/clean.py --from "spam@example.com" --delete
# Dry run first:
python scripts/clean.py --from "spam@example.com" --dry-run
# Full deep clean (4 steps: trash promos → archive old → mark read → purge trash):
python scripts/deep_clean.py
# Custom age thresholds:
python scripts/deep_clean.py --promo-days 7 --archive-days 30 --unread-days 14
# Skip trash purge (keep trash for 30-day auto-delete):
python scripts/deep_clean.py --skip-trash-purge
# Apply built-i...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Gmail Cleaner
Bulk Gmail cleanup using the Gmail API. Processes 1000 messages per API call.
## Prerequisites
- `google-api-python-client`, `google-auth-oauthlib` Python packages (scripts auto-install if missing)
- OAuth credentials JSON from Google Cloud Console (Desktop app type)
- Token files stored as `.pkl` files per account
## Workflow
### 1. Auth (first time or new account)
```bash
python scripts/auth.py --credentials /path/to/credentials.json --token /path/to/token.pkl --scopes settings
```
- `basic` scopes: read/modify/delete messages + labels
- `settings` scopes: adds `gmail.settings.basic` (required for creating filters)
- Default token path: `~/.openclaw/workspace/gmail_token.pkl`
- Default creds path: `~/.openclaw/workspace/gmail_credentials.json`
For a second account, specify a different `--token` path (e.g., `gmail_token_work.pkl`).
### 2. Scan (identify what to clean)
```bash
python scripts/scan.py --token /path/to/token.pkl --sample 500
```
Shows inbox counts by category + top 40 senders. Run this first.
### 3. Clean (bulk trash/delete)
```bash
# Trash specific senders:
python scripts/clean.py --from "spam@example.com,news@example.org"
# Trash by Gmail search query:
python scripts/clean.py --query "category:promotions older_than:30d"
# From a JSON config file (list of {query, label}):
python scripts/clean.py --config senders.json
# Permanently delete instead of trash:
python scripts/clean.py --from "spam@example.com" --delete
# Dry run first:
python scripts/clean.py --from "spam@example.com" --dry-run
```
### 4. Deep Clean (comprehensive)
```bash
# Full deep clean (4 steps: trash promos → archive old → mark read → purge trash):
python scripts/deep_clean.py
# Custom age thresholds:
python scripts/deep_clean.py --promo-days 7 --archive-days 30 --unread-days 14
# Skip trash purge (keep trash for 30-day auto-delete):
python scripts/deep_clean.py --skip-trash-purge
```
### 5. Organize (labels + filters)
```bash
# Apply built-i...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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