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🦀 ClawHub

Actionbook

by @adcentury

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.

Versionv0.1.1
Downloads2,748
Installs18
TERMINAL
clawhub install actionbook

📖 About This Skill


name: actionbook description: 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.

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 "" 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

    actionbook search ""                      # Search by task intent
    actionbook search "" --domain site.com    # Filter by domain
    actionbook search "" --url           # Filter by URL
    actionbook search "" -p 2 -s 20           # Pagination
    

    Returns for each result:

  • ID — use with actionbook get "" to retrieve full details
  • Typepage (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. Target site — the website name or domain 2. Task verb — what the user wants to do (search, book, post, filter, login, compose, etc.) 3. Object / context — what they're acting on (listings, messages, flights, repositories, etc.) 4. Specific details — any constraints, filters, or parameters the user mentioned (dates, location, category, language, etc.)

    Rule of thumb: Rewrite the user's request as a single descriptive sentence and use that as the query.

    | User says | Bad query | Good query | |-----------|-----------|------------| | "Book an Airbnb in Tokyo for next week" | "airbnb" | "airbnb search listings Tokyo dates check-in check-out guests" | | "Search arXiv for recent NLP papers" | "arxiv search" | "arxiv advanced search papers NLP natural language processing recent" | | "Send a LinkedIn connection request" | "linkedin" | "linkedin send connection request invite someone" | | "Post a tweet with an image" | "twitter post" | "twitter compose new tweet post with image media attachment" | | "Filter GitHub issues by label" | "github issues" | "github repository issues filter by label search issues" |

    When the user provides extra context (e.g., specific dates, a city name, a topic), fold it into the query even if it won't match a stored action literally — it helps the search engine rank relevant pages higher.

    # User: "Help me apply for a software engineer job on LinkedIn"
    actionbook search "linkedin job search apply software engineer application form"

    User: "I need to search for machine learning papers on arXiv"

    actionbook search "arxiv advanced search papers machine learning subject category"

    If --domain or --url is known, always add them — they narrow results and improve precision.

    get — Retrieve full action details by ID

    # Use the ID from search results directly
    actionbook get "arxiv.org:/search/advanced:default"
    

    Returns a structured document with:

    1. Page URL — exact URL and query/path parameters 2. Page Overview — what the page does 3. Page Function Summary — interactive capabilities (e.g., "Search Term Input", "Subject Classification Filtering") 4. Page Structure Summary — DOM hierarchy with CSS selectors inline

    Selectors appear embedded in the structure description, e.g.:

    Search Term Form Section: Contains search term input field (input[type="text"]),
    field selector dropdown (select[name="searchtype"]), and submit button (button.Search)
    

    Extract CSS selectors from the structure summary for use with browser commands.

    Browser Commands

    Quick reference. Full details with all flags and options: command-reference.md.

    Navigation

    actionbook browser open            # Open URL in new tab
    actionbook browser goto            # Navigate current page
    actionbook browser back / forward       # History navigation
    actionbook browser reload               # Reload page
    actionbook browser pages                # List open tabs
    actionbook browser switch      # Switch tab
    actionbook browser close                # Close browser
    

    Interactions

    actionbook browser click ""          # Click element
    actionbook browser fill "" "text"    # Clear and type
    actionbook browser type "" "text"    # Append text
    actionbook browser select "" "value" # Select dropdown option
    actionbook browser hover ""          # Hover
    actionbook browser press Enter                 # Press key
    

    Observation

    actionbook browser text                        # Full page text
    actionbook browser text ""           # Element text
    actionbook browser snapshot                    # Accessibility tree (live page structure)
    actionbook browser screenshot                  # Save screenshot
    actionbook browser screenshot --full-page      # Full page screenshot
    actionbook browser wait ""           # Wait for element
    actionbook browser wait-nav                    # Wait for navigation
    

    actionbook browser close cleans up the browser session. Skip if the user requests the browser remain open.

    Examples

    User request: "Search arXiv for papers about Neural Networks, search in titles only"

    # 1. Search — include the full intent: site + task + subject + filter preference
    actionbook search "arxiv advanced search papers neural network title field" --domain arxiv.org

    2. Get details — read Page Structure Summary for selectors

    actionbook get "arxiv.org:/search/advanced:default"

    Response includes: input[type="text"], select[name="searchtype"], button.Search, etc.

    3. Automate using selectors from the response

    actionbook browser open "https://arxiv.org/search/advanced" actionbook browser fill "input[type='text']" "Neural Network" actionbook browser select "select[name='searchtype']" "title" actionbook browser click "button.Search" actionbook browser wait-nav actionbook browser text actionbook browser close

    Fallback

    Actionbook stores page data captured at indexing time. Websites evolve, so selectors may become outdated.

    When a selector from actionbook get fails at runtime, actionbook browser snapshot provides the live accessibility tree with current selectors. Use selectors from the snapshot output to retry the interaction.

    Selectors used in browser commands should come from actionbook get or actionbook browser snapshot output in the current session — not from prior knowledge or memory.

    If actionbook search returns no results for a page, use snapshot as the primary source, or fall back to other available tools.

    References

    | Reference | Description | |-----------|-------------| | command-reference.md | Complete command reference with all flags and options | | authentication.md | Login flows, OAuth, 2FA handling, session persistence |

    💡 Examples

    User request: "Search arXiv for papers about Neural Networks, search in titles only"

    # 1. Search — include the full intent: site + task + subject + filter preference
    actionbook search "arxiv advanced search papers neural network title field" --domain arxiv.org

    2. Get details — read Page Structure Summary for selectors

    actionbook get "arxiv.org:/search/advanced:default"

    Response includes: input[type="text"], select[name="searchtype"], button.Search, etc.

    3. Automate using selectors from the response

    actionbook browser open "https://arxiv.org/search/advanced" actionbook browser fill "input[type='text']" "Neural Network" actionbook browser select "select[name='searchtype']" "title" actionbook browser click "button.Search" actionbook browser wait-nav actionbook browser text actionbook browser close