Video & Animation

Builds and validates CircleCI orb configurations using the CircleCI CLI and Orb Development Kit. Supports orb packing, linting with yamllint, and publishing to the CircleCI Orb Registry via circleci orb publish.

Manages CircleCI pipeline configurations using orbs like circleci/node, circleci/docker, and circleci/aws-s3. Handles workflow orchestration, parallelism, and resource class selection via .circleci/config.yml.

Composes and publishes CircleCI Orbs using the circleci CLI with orb pack, orb validate, and semantic versioning. Manages reusable executors, commands, and jobs with parameterized pipeline configurations.

Composes and validates CircleCI Orbs using the circleci/circleci-cli and circleci/orb-tools-orb SDK. Automates orb packaging, semantic versioning with conventional-changelog, and publishing to the CircleCI Orb Registry.

Creates reusable CircleCI Orbs using the CircleCI Orb SDK and circleci/orb-tools@12 pipeline. Packages commands, executors, and jobs into publishable orbs with automated semantic versioning via the CircleCI CLI.

Creates, validates, and publishes CircleCI Orbs using the CircleCI CLI and Orb Registry API. Handles semantic versioning, namespace management, and orb dependency resolution.

Audits CircleCI orb versions and configurations using the CircleCI v2 API. Flags deprecated orbs, provides pinning recommendations, and checks security advisories from the orb registry.

agentskillexchange

Queries CircleCI Insights API to identify test cases that flip between pass and fail across recent runs. Produces a ranked list by failure rate with quarantine strategies for Jest, pytest, RSpec, and JUnit.

This skill turns chromedp into a repeatable browser automation workflow for Go teams. It covers navigation, DOM queries, screenshots, PDF capture, network-aware waits, and structured extraction through the Chrome DevTools Protocol.

Chrome MCP Server uses a Chrome extension and local bridge to expose your everyday browser to MCP-compatible agents. It is designed for workflows where an agent should reuse real tabs, existing login state, browser history, bookmarks, and native Chrome APIs instead of launching a separate automation browser.

Chrome DevTools MCP connects an MCP-compatible agent to a live Chrome browser for debugging, automation, and performance work. It exposes Chrome DevTools capabilities through MCP, so agents can inspect network traffic, collect traces, capture screenshots, and automate browser actions from the same server.

An official MCP server for the Chroma open-source embedding database. Enables AI agents to create collections, add documents, perform vector search, full-text search, and metadata filtering through the Model Context Protocol.

chezmoi manages dotfiles across multiple machines securely using a Git-backed source-of-truth model with templates, encryption, and cross-platform support. Written in Go with 18k+ GitHub stars, it handles machine-specific configs, secrets, and one-command bootstrap.

Monitors e-commerce product prices using Cheerio.js for server-side DOM parsing with got-scraping for stealth HTTP requests. Tracks price history in SQLite and triggers alerts via nodemailer when prices drop below thresholds.

Cheerio is a long-running Node.js library for parsing and manipulating HTML and XML with a jQuery-like API. It is widely used in scraping, extraction, and content transformation pipelines where developers need fast server-side DOM traversal without a browser runtime.

Parses static HTML using Cheerio

Builds configurable data extraction pipelines using Cheerio for server-side DOM parsing with CSS selector chains. Supports JSONPath output mapping, pagination following, and schema validation via Ajv.

Scans IaC files with Bridgecrew Checkov for policy violations across Terraform, CloudFormation, Kubernetes, and Dockerfile configurations. Supports custom Python-based policy authoring and Prisma Cloud integration.

agentskillexchange

An ASE skill built on Checkmate, the open source self-hosted monitoring platform for uptime, incidents, response times, and infrastructure visibility. It fits agent workflows that need recurring checks, incident context, and operational dashboards with optional server telemetry via the companion Capture agent.

Checkly CLI lets agents define, test, and deploy synthetic monitoring from a JavaScript or TypeScript codebase. It is especially useful when monitoring should live next to Playwright tests, API checks, and CI workflows instead of being configured by hand in a UI.

Monitors Checkly browser checks via the Checkly Management API and notifies teams on Playwright test failures. Extracts failure screenshots, trace URLs, and degraded check results.

Run a benchmark-driven posture check on Kubernetes nodes and control planes before an audit, upgrade, or hardening sprint starts.