Act
Overview Act runs GitHub Actions workflows locally using Docker. Test and debug CI pipelines without pushing to GitHub. Supports most GitHub Actions features.
Overview
The Act skill, sourced from the TerminalSkills/skills repository on GitHub, allows AI agents to execute GitHub Actions workflows in a local environment. By utilizing Docker containers to simulate GitHub runners, this tool enables developers to test and debug CI/CD pipelines without the need for frequent commits or remote execution. It supports a broad array of standard GitHub Actions features, providing a reliable way to validate automation logic and syntax. This skill is compatible with various AI agents, including Claude and Gemini, facilitating a more efficient DevOps workflow by offering immediate feedback on pipeline configurations within the local development setup.
Use Cases
Install Notes
# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/act/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
The Act skill requires a functional Docker installation on the host machine to manage containerized workflow execution. Users must manage local secrets and environment variables carefully, as the tool interacts directly with the local container runtime to replicate GitHub's infrastructure.
Related Skills
CI Cd And Automation
addyosmani/agent-skills
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
Observability And Instrumentation
addyosmani/agent-skills
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.
Core
vercel-labs/agent-browser
Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multip...
Agentcore
vercel-labs/agent-browser
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bed...
Agent Browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a butto...
Netlify Forms
openai/plugins
Guide for using Netlify Forms for HTML form handling. Use when adding contact forms, feedback forms, file upload forms, or any form that should be collected by Netlify. Covers the data-netlify attribute, spam filtering, AJAX submissions, file uploads, notifications, and the submissions API.