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Actionbook

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actionbook
actionbook

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.

Overview

Publisheractionbook
Repositoryactionbook
Skill nameactionbook
Stars
1.6K
Forks
120
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by actionbook on GitHub. Read the source before you install it.

Installation

Install the Actionbook AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/actionbook/actionbook/tree/main/packages/openclaw-plugin/skills/actionbook
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/actionbook/actionbook.git /tmp/actionbook
mkdir -p .claude/skills
cp -r /tmp/actionbook/packages/openclaw-plugin/skills/actionbook .claude/skills/actionbook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Actionbook in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Actionbook on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Actionbook is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to Use

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)

When performing browser automation tasks, check Actionbook BEFORE taking page snapshots.

Workflow

  1. Before interacting with a website, call search_actions to check if Actionbook has pre-verified selectors
  2. Use get_action_by_area_id to get element selectors from the results
  3. Extract selectors from the returned Elements and use them by priority below
  4. If no results, skip to Fallback Strategy

Constructing an Effective Search Query

The query parameter 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

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

User saysBad queryGood 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 domain or url is known, always add them — they narrow results and improve precision.

Response Structure

search_actions response

Returns a list of matching actions. Each result includes:

  • ID — unique identifier, use with get_action_by_area_id (e.g., arxiv.org:/search/stat:default)
  • Type — page (full page) or area (page section)
  • Description — page overview with URL, query parameters, and a brief summary
  • URL — page where this action applies
  • Health Score — selector reliability percentage (0–100%)
  • Updated — last verified date

get_action_by_area_id response

Returns a structured document describing the page in detail:

  1. Page URL — exact URL with query/path parameter descriptions
  2. Page Overview — what the page does (definition of the page's purpose)
  3. Page Function Summary — interactive capabilities listed as bullet points (e.g., "Keyword Search", "Field Selection", "Abstract Toggle")
  4. Page Structure Summary — DOM hierarchy description with CSS selectors inline in the text

Extract CSS selectors from the Page Structure Summary. Selectors appear embedded in the description, e.g.:

Search Form (form[method="GET"]): Large search input field with "All fields" dropdown selector and search button
Header (<header>): Contains branding, logo, and a mini-search form with query input

Selector Priority

When Actionbook returns multiple selector types for an element, prefer them in this order:

  1. data-testid (confidence: 0.95) — e.g., [data-testid="search-input"]
  2. aria-label (confidence: 0.88) — e.g., [aria-label="Notifications"]
  3. CSS selector — e.g., button.Search, input[type="text"]
  4. role selector (confidence: 0.9) — e.g., getByRole('link', { name: 'Notifications' })

Use the returned selectors with the agent's available browser tools (click, fill, evaluate, etc.).

Example

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

1. search_actions({ query: "arxiv advanced search papers neural network title field", domain: "arxiv.org" })
   → Returns area_id: "arxiv.org:/search/advanced:default"

2. get_action_by_area_id({ area_id: "arxiv.org:/search/advanced:default" })
   → Returns page structure with selectors: input[type="text"], select[name="searchtype"], button.Search

3. Use browser tools with returned selectors:
   - Navigate to https://arxiv.org/search/advanced
   - Fill input[type="text"] with "Neural Network"
   - Select select[name="searchtype"] → "title"
   - Click button.Search
   - Wait for navigation
   - Read results

Fallback Strategy

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

  • No Actionbook results: Use the agent's own browser tools to observe and interact with the page directly
  • Selector execution fails at runtime: Fall back to the agent's browser tools to re-observe the live page and retry with updated selectors

Selectors should come from Actionbook or live page observation in the current session — not from prior knowledge or memory.

Important Notes

  • Do NOT modify selectors returned from Actionbook
  • Check Allow Methods field — it indicates supported operations (click/type/read) per element
  • region_high_filter_page entries indicate some elements lack unique selectors — use snapshot fallback for those

Frequently asked questions

What does the Actionbook AI skill do?

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.

Why use Actionbook on TypingMind?

Because you install it once and use it with any model. Actionbook is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Actionbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/actionbook/actionbook/tree/main/packages/openclaw-plugin/skills/actionbook. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Actionbook?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Actionbook?

As many as you like. As long as a model supports skills, you can use Actionbook with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Actionbook AI skill free?

Yes. It is published on GitHub by actionbook under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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