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Found 1,972 Skills
Docker and Docker Compose reference for container deployment, networking, volumes, and orchestration. Includes Proxmox hosting and LXC comparison patterns. Use when working with docker-compose.yaml, Dockerfiles, troubleshooting containers, or planning container architecture. Triggers: docker, compose, container, dockerfile, volume, network, service, lxc.
Cloud infrastructure design and deployment patterns for AWS, Azure, and GCP. Use when designing cloud architectures, implementing IaC with Terraform, optimizing costs, or setting up multi-region deployments.
Builds scalable design systems with tokens, theming, and component architecture. Use when creating design token hierarchies, theming systems, component variant patterns, or accessibility foundations. Use for design tokens, CVA variants, dark mode, multi-brand theming, Radix headless UI, Storybook documentation, and governance.
Manage tasks, track progress, and log daily updates via the ai-todo CLI. Trigger scenarios: 1) EXPLICIT — user mentions tasks, todos, to-do lists, progress tracking, daily standup, sprint planning, project management, work logs, or task completion. 2) POST-ACTION (proactive) — after git commit, git push, deploy to Vercel, merge PR, release, or any significant milestone (feature implemented, bug fixed, refactor done), proactively log progress and update/complete related tasks. When git-tools or vercel:deploy skill finishes, ALWAYS trigger this skill to record what was accomplished. 3) PRE-ACTION (proactive) — when user discusses implementation plans, architecture design, feature breakdown, technical specs, RFC, sprint planning, or requirement analysis, proactively suggest creating tasks to track planned work. When brainstorming skill completes, trigger this skill to convert outcomes into trackable tasks. 4) SESSION-END — when a work session involves substantial code changes, suggest a progress summary before ending. This skill connects to ai-todo (https://ai-todo.stringzhao.life) for persistent task management across sessions.
Recommends and scaffolds frontend technology stack for new projects. Use when starting a new frontend project, selecting a framework, setting up a web app from scratch, or when the user asks about frontend tech stack, scaffolding, or architecture selection. Covers React/Next.js/Astro/Vue, TypeScript, Tailwind CSS, state management, data fetching, UI components, testing, and monorepo setup.
API architecture: REST design, versioning, HATEOAS, auth patterns, OpenAPI docs, gateway patterns
Core iOS/Swift development skills. Used when writing or modifying Swift/SwiftUI/UIKit code, designing UI architecture, optimizing performance, creating components, and handling navigation. Covers Swift coding specifications, SwiftUI best practices, UIKit development, navigation architecture (Coordinator/NavigationStack), animations, component design, and performance optimization.
Tauri framework for building cross-platform desktop applications with Rust backend and web frontend. Covers architecture, IPC commands, plugins, bundling, code signing, and security best practices. USE WHEN: user mentions "Tauri", "Rust desktop app", asks about "Tauri commands", "Tauri plugins", "Tauri IPC", "Rust + Svelte/React", "lightweight desktop app", "Tauri bundling", "Tauri security" DO NOT USE FOR: Electron applications - use `electron` skill instead
Threat modeling using STRIDE methodology. Data flow diagrams, trust boundaries, attack surface mapping, and risk assessment. Use when analyzing system security, designing secure architectures, or conducting security reviews.
Use when designing APIs, Architecture, Security, or Scalability for Node, Python, Go, or Java backend systems.
VeChainThor node internals — architecture, consensus (PoA/PoS/BFT), built-in contracts, REST API, storage, P2P networking, block production, transaction lifecycle, reward distribution, staking, and contributing to the Go codebase.
Umbrella skill for agent work discipline across development, analysis, and documentation: inspect the repo before restructuring, keep durable truth in repo artifacts instead of chat memory, co-evolve specs/design/steering/user docs with code, apply sound coding patterns, verify work honestly, avoid shortcuts, work efficiently with subagents without hallucinating, and keep moving through the next concrete work item when the human is away. References cover coding patterns, AI-authored code review, and artifact co-evolution. Trigger when the user asks for workflow discipline, coding patterns, doc/artifact maintenance, code review of AI-authored code, project hygiene, execution guardrails, repo normalization, or when a task risks drifting across architecture, storage, specs, continuity, or tooling boundaries.