The package manager for agent skills and context

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.

Pattern for progressively refining context retrieval to solve the subagent context problem

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

サブエージェントのコンテキスト問題を解決するために、コンテキスト取得を段階的に洗練するパターン

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Create new AI chat interface components for the ai-elements library following established composable patterns, shadcn/ui integration, and Vercel AI SDK conventions. Use when creating new components in packages/elements/src or when the user asks to add a new component to ai-elements.