playwright-cli
Token-efficient CLI for browser automation, web testing, and agentic workflows using Playwright.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
299 skills found
Token-efficient CLI for browser automation, web testing, and agentic workflows using Playwright.
Manage a 3-node Proxmox VE cluster (Matrix/Virgo-Core) including CEPH storage, VLAN networking, and automated VM provisioning via Python, Ansible, and Terraform.
Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.
A modern CLI tool for querying Google Places API to perform text searches, retrieve place details, resolve addresses, and get reviews in human-readable or scriptable JSON formats.
Orchestrate multi-agent swarms using agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Ideal for building distributed AI systems and scaling complex development workflows.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.
Standardize, validate, and manage Netresearch AI agent skill repositories with automated structure enforcement, distribution workflows, and licensing compliance tools.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
Fetch, index, and search developer documentation from GitHub and websites to provide AI agents with accurate, grounded, and version-specific code context.
Manage AWS Lambda serverless functions: deploy code, configure event triggers, debug invocations, optimize cold starts, and maintain layers.