nuxt-test-skill
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
469 skills found
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Guide new contributors through the Chops development environment, including prerequisite checks, project generation via xcodegen, and architecture orientation.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
Submit completed tasks on OpenAnt via CLI. Handles text reports, file uploads (images, docs, code), and external proof links to ensure verified deliverables.
Automated security scanning for n8n workflows: detects credential exposure, validates OAuth flows, tests API key management, and checks data sanitization.
Maintain Mintlify documentation sites: configure navigation, manage MDX content, add components, and handle API references.
A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.
Automate Discord server operations including message management, channel organization, and role assignments via MCP.
Plan features through an interactive, multi-step process that generates comprehensive Product Requirements Documents (PRDs) with user stories, acceptance criteria, and technical specifications.
Guide for installing or reimaging NixOS from live media using a declarative, flake-based approach with hardware-specific configuration support.
Kills stale claude-mem worker and MCP server processes to recover RAM and improve performance in memory-constrained environments like GitHub Codespaces.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.