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.
Activate when the user needs to interact with any website — browser automation, web scraping, screenshots, form filling, UI testing, monitoring, or building AI agents. Provides pre-verified page actions with step-by-step instructions and tested selectors.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install adcentury/actionbookExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Activate when the user's request involves interacting with a website:
Activate when the user:
Actionbook is a library of pre-verified page interaction data. actionbook search finds actions matching a task description; actionbook get "<ID>" returns a structured document describing a page's purpose, functional capabilities, and DOM structure with inline CSS selectors — eliminating the need for runtime page structure discovery.
actionbook search "<query>" # Search by task intent
actionbook search "<query>" --domain site.com # Filter by domain
actionbook search "<query>" --url <url> # Filter by URL
actionbook search "<query>" -p 2 -s 20 # Pagination
Returns for each result:
ID — use with actionbook get "<ID>" to retrieve full detailsType — page (full page) or area (page section)Description — page overview and function summaryURL — page where this action appliesHealth Score — selector reliability percentage (0–100%)Updated — last verified dateThe query string is the primary signal for finding the right action. Pack it with the user's full intent — not just a site name or a vague keyword.
Include in the query:
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## When to Use This Skill
Activate when the user's request involves interacting with a website:
Activate when the user:
- Needs to do anything on a website ("Send a LinkedIn message", "Book an Airbnb", "Search Google for...")
- Asks how to interact with a site ("How do I post a tweet?", "How to apply on LinkedIn?")
- Wants to fill out forms, click buttons, navigate, search, filter, or browse on a specific site
- Wants to take a screenshot of a web page or monitor changes
- Builds browser-based AI agents, web scrapers, or E2E tests for external websites
- Automates repetitive web tasks (data entry, form submission, content posting)
- Wants to control their existing Chrome browser (Extension mode)
## What Actionbook Provides
Actionbook is a library of **pre-verified page interaction data**. `actionbook search` finds actions matching a task description; `actionbook get "<ID>"` returns a structured document describing a page's purpose, functional capabilities, and DOM structure with inline CSS selectors — eliminating the need for runtime page structure discovery.
## search and get
### search — Find actions by task description
```bash
actionbook search "<query>" # Search by task intent
actionbook search "<query>" --domain site.com # Filter by domain
actionbook search "<query>" --url <url> # Filter by URL
actionbook search "<query>" -p 2 -s 20 # Pagination
```
**Returns** for each result:
- `ID` — use with `actionbook get "<ID>"` to retrieve full details
- `Type` — `page` (full page) or `area` (page section)
- `Description` — page overview and function summary
- `URL` — page where this action applies
- `Health Score` — selector reliability percentage (0–100%)
- `Updated` — last verified date
### Constructing an effective search query
The `query` string is the **primary signal** for finding the right action. Pack it with the user's full intent — not just a site name or a vague keyword.
**Include in the query:**
1. **Ta...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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