vtm-expert
Token-efficient virtual task management for AI-assisted development. Manage task lifecycles, dependencies, and TDD workflows with surgical context injection.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
524 skills found
Token-efficient virtual task management for AI-assisted development. Manage task lifecycles, dependencies, and TDD workflows with surgical context injection.
A professional writing standard plugin for high-quality Korean technical content, enforcing omniscient 3rd-person perspectives, AI pattern elimination, and systematic citation systems.
Configure and optimize Nx monorepo workspaces. Use for project boundaries, build caching, library organization, and implementing affected commands.
Generate production-ready Kubernetes manifests including Deployments, Services, CRDs, and more with built-in validation.
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Search and reference Chromium documentation, including design docs, APIs, and development guides. Use to locate, browse, or learn about architecture, GPU, network, security, and testing concepts within the Chromium codebase.
Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.
Guidance for creating and integrating new ECS components, including class design, JSON serialization, custom editor UI implementation, and DI registration.
Automates the submission workflow for lading performance optimizations, including branch management, git commits, and PR creation.
Automate GitLab repository management with this API-based tool. Perform file operations, branch management, and project tracking directly through your AI agent.
NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.