Actionbook
Official@actionbook · United States of America
Browser action engine for AI agents.
Agent Skills by Actionbook
Showing 51 vetted skills indexed across 3 GitHub repositories.
core-dynamic-skills
Generates crate-specific skills from Cargo.toml dependencies using docs.rs documentation.
core-fix-skill-docs
Checks and repairs missing reference files in generated Rust skill documentation.
core-actionbook
Retrieves pre-computed browser action manuals with DOM selectors via actionbook MCP tools.
rust-learner
Fetches Rust versions, crate metadata, and API documentation from official sources.
core-agent-browser
Automates browser navigation, interaction, and screenshots via the agent-browser CLI.
actionbook-web-test
Executes declarative YAML browser tests via Actionbook CLI and generates json-ui HTML reports.
article-exporter
Export web articles to Obsidian-ready Markdown directories with local images and optional AI translation.
deep-research
Generates bilingual HTML research reports on topics and arXiv papers via browser automation.
agent-browser
Automates browser navigation, form filling, screenshots, and data extraction via CLI commands.
extract
Extract structured website data and generate a standalone Playwright extraction script.
active-research
Generates HTML research reports on topics and papers using Actionbook browser automation.
ascent-research
Automate incremental, resumable AI research sessions into a durable knowledge base.
m13-domain-error
Design domain error handling for Rust applications with error categorization and recovery strategies.
rust-symbol-analyzer
Index and structure Rust symbols via LSP document and workspace queries.
m15-anti-pattern
Identify and remediate Rust anti-patterns in code reviews.
coding-guidelines
Standardize Rust naming, formatting, and linting conventions across codebases.
m10-performance
Analyze Rust performance bottlenecks using cargo bench, flamegraph, and criterion.
m12-lifecycle
Design and analyze resource lifecycles in Rust applications.
rust-skill-creator
Generate Rust skills from crate and standard library documentation.
m09-domain
Models Java entities and value objects with attributes and relationships.
rust-trait-explorer
Locate Rust trait implementations and map traits to concrete types.
m05-type-driven
Encode Rust type invariants with newtypes, PhantomData, and type state patterns.
rust-code-navigator
Locate Rust symbol definitions, references, and hover info via LSP.
meta-cognition-parallel
Provides Rust code analysis and generates architectural recommendations with a focus on multidisciplinary and cross-layer integration.
Frequently Asked Questions About Actionbook
FAQPage SchemaWhat specific technical tasks does Actionbook enable for developers?▼
Actionbook enables precise Rust code analysis, including ownership diagnostics, performance bottleneck identification, and safety invariant verification. It also provides browser interaction primitives for DOM navigation, form filling, and web data extraction through structured selector management.
Which engineering personas benefit most from these capabilities?▼
Systems engineers, embedded firmware developers, and backend architects working with Rust benefit from these capabilities. It is specifically designed for developers needing deep insights into memory safety, concurrency patterns, and domain-constrained architectural planning.
What are the primary dependencies for running Actionbook features?▼
Actionbook relies on standard Rust ecosystem components, including LSP servers for symbol navigation, Cargo for dependency management, and standard browser DOM interfaces for web interaction. No proprietary runtime environments are required beyond standard Rust toolchains.