vercel-deploy
Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
595 skills found
Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.
Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
Automate i18n setup, string extraction, and locale parity audits for React/TS codebases. Features framework-aware config, automated audit scripts, and safe string replacement to ensure seamless localization.
Nuxt framework disambiguation layer for optimizing project development, routing to the correct Nuxt pack, Vue guidance, or module-specific logic.
Manage, sync, and transfer files between local storage and cloud providers like S3, Cloudflare R2, Backblaze B2, Google Drive, and Dropbox using rclone.
Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.
Refactor monolithic notes into modular, index-linked files for improved discoverability and organization, targeting files over 1000 lines.
Deep document structure analysis and intelligent content extraction for knowledge bases.
Export, write, and manage Feishu/Lark documents, spreadsheets, and wikis. Converts cloud content to Markdown for AI agents and automation workflows.
A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.