Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Basin ingests and transforms events, manages Apache Iceberg tables in R2, and queries them with distributed SQL. Start with the Basin overview and retrieve the relevant current docs before implementing changes, especially for limits, pricing, permissions, and CLI syntax. While PR #33850 remains open, use the proposed pages in that PR if the new URLs have not been published.
Cloudflare Data Platform is now Basin. Cloudflare Pipelines, R2 Data Catalog, and R2 SQL are now Basin Pipelines, Basin Catalog, and Basin SQL. Existing resources and configurations continue to work. The prior Wrangler command families also continue to work: wrangler pipelines, wrangler r2 bucket catalog, and wrangler r2 sql. Use the new Basin commands and documentation URLs in new guidance. Legacy API identifiers and metrics names may still use the old terms; check the current docs for deprecation details. The migration is documented in cloudflare-docs PR #33850.
| Need | Product | Reference | Current docs |
|---|---|---|---|
| Receive events, transform rows, and deliver to R2 | Basin Pipelines | Pipelines guide | Basin Pipelines |
| Manage Iceberg metadata, table maintenance, and engine access | Basin Catalog | Catalog guide | Basin Catalog |
| Query Iceberg tables with analytical SQL | Basin SQL | SQL guide | Basin SQL |
Typical flow: Basin Pipelines → Basin Catalog tables in R2 → Basin SQL or a compatible external engine. Begin with the Basin getting started guide for an end-to-end setup.
The proposed Wrangler command families are wrangler basin pipelines, wrangler basin catalog, and wrangler basin sql. Basin SQL uses WRANGLER_BASIN_SQL_AUTH_TOKEN; its REST query path is /basin-sql/query/{BUCKET}. Check the installed Wrangler version and current reference pages before running commands because the migration is ongoing.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks for "ADHD output", "fewer output tokens", "short numbered steps", "limited working memory formatting", or explicitly invokes "adhd-output-style".
日本語の概要は準備中です。原文の説明を表示しています。
Agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.
日本語の概要は準備中です。原文の説明を表示しています。
Build, debug, or review Cloudflare Agents SDK applications using the agents package.
日本語の概要は準備中です。原文の説明を表示しています。
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.
日本語の概要は準備中です。原文の説明を表示しています。
Builds voice and chat AI agents with LiveKit Agents on LiveKit Cloud or a self-hosted server. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.
日本語の概要は準備中です。原文の説明を表示しています。