'workers' 검색 결과

Set up worker environment and per-worker state for parallel pools. Use when code needs paths, environment variables, database connections, loaded libraries, or expensive objects available on workers before parfor/parfeval runs. Teaches parallel.pool.Constant, parfevalOnAll, and parpool name-value pairs. Also use when refactoring existing code that uses spmd for side-effect setup (an anti-pattern). Triggers: worker setup, pool constant, per-worker state, non-serializable, loadlibrary on workers, database connection parfor, addpath workers, spmd before parfor, worker environment, reduce parfor overhead, parfor setup, resource creation in parallel loop, cannot serialize error, undefined function or variable on workers error, load data per worker, reduce data transfer, parallelize setup, improve parallel code.

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Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

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This skill should be used when the user asks about "Cloudflare Workers with Bun", "deploying Bun to Workers", "wrangler with Bun", "edge deployment", "Bun to Cloudflare", or building and deploying applications to Cloudflare Workers using Bun.

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Cloudflare Workers is an edge computing platform for running JavaScript, TypeScript, and WebAssembly close to users worldwide with sub-millisecond cold starts. Use when working with the Workers runtime, the Wrangler CLI, KV, D1, R2, Durable Objects, Queues, or Hyperdrive, or when a user asks to build and deploy an edge function.

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Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

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Cloudflare platform management via Wrangler CLI, Agents SDK (v0.13+), and Browser Rendering API. Deploy Pages, Workers, KV, R2, D1, Queues, Vectorize, Workflows, Hyperdrive. Build stateful AI agents with the full SDK stack — Agent, AIChatAgent, Think, Voice, sub-agents, fibers, HITL, scheduling, observability, Code Mode (Dynamic Worker sandboxes). Budget web scraping via cf_browser.py. Use when deploying to Cloudflare, managing CF infrastructure, configuring wrangler.toml/wrangler.jsonc, building AI agents or chat agents on Workers, adding voice, orchestrating sub-agents, or for cheap web scraping. Triggers: Cloudflare, wrangler, Pages, KV, R2, D1, Workers, Vectorize, Queues, Workflows, Hyperdrive, cf_browser, Browser Rendering, Agents SDK, Code Mode, codemode, MCP, Think, AIChatAgent, Voice agent, sub-agents, fibers, HITL, Dynamic Workers.

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Cloudflare Email Service（Email Sending + Email Routing）でトランザクションメールの送受信を実装するスキル。Workers bindingまたはREST APIによるメール送信、Email Routing、Agents SDKのemail handler、Workers・Node.js・Python・Go等への組み込みで使う。到達性、SPF/DKIM/DMARC、wrangler email設定、MCP email tools、coding agentからのメール送信も対象。「Workerにメール機能を追加」のような依頼でも、重要な設定要件があるため必ず使用する。

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Use when working with Cloudflare Workers Deep — deep analysis of Cloudflare Workers deployments including script inventory, route mappings, KV namespace usage, Durable Objects, cron triggers, CPU time metrics, and error rate tracking. Use for comprehensive Workers platform health checks and optimization.

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Coordinate multiple Orca workers by assigning tasks, exchanging threaded messages, and waiting for results or escalations. Use task dependency graphs and decision gates to supervise work that needs ongoing coordination across agents.

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• Splitting work across multiple Orca workers
• Coordinating tasks with dependencies
• Waiting for worker results or escalations

Run Ruflo background workers on a recurring schedule within a Claude Code session. Choose tasks such as security analysis, documentation, or test coverage analysis, check their status, and stop the loop after repeated reports of no new work.

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• Run recurring security analysis
• Periodically check test coverage gaps
• Repeat code analysis and documentation tasks

Manage Codewhale fleet runs by inspecting workers, the agents carrying out tasks, and reviewing logs and artifacts. Classify failures, choose a supported recovery action or draft a request for human review, and summarize evidence and follow-up ownership.

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• Checking workers in a Codewhale fleet run
• Assessing whether a temporary failure warrants a restart
• Resuming a run after a manager restart

Delegate research, coding, and testing from Claude Code to opencode workers. Run independent tasks in parallel with separate Git working directories, combine findings, track token use, and compare solo execution with coordinated workers.

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• Delegate a small task to one opencode worker
• Implement independent changes in parallel
• Review a diff from four perspectives

Coordinate multiple coding agents through Superset in separate workspaces. Split work into bounded tasks, track dependencies and progress, send follow-ups, and collect structured results covering changed files, verification checks, blockers, and the order for combining work.

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• Splitting independent coding tasks across agents
• Passing completed work to dependent tasks
• Monitoring workers on local or remote hosts

Dispatches due Xiaohongshu tasks already locked in the operations dashboard to their assigned account workers. It checks task identifiers, records delivery failures, and continues dispatching other tasks without operating the browser or changing content.

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• Dispatching due tasks to assigned account workers
• Continuing other deliveries when one task fails
• Checking how scheduled tasks should be executed

Let a Manager carry out Git operations for Workers that lack credentials. Structured requests specify the workspace and commands, while the workflow covers shared-file synchronization, processing markers to prevent conflicting edits, and success or failure reports.

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• Delegating clone and push operations for Workers without credentials
• Requesting commits and branch operations
• Coordinating Git work in a shared workspace

Guides the creation, import, and composition of agent teams with one Team Leader and multiple Workers. It explains member changes, delegation through the Leader, and where to manage each Worker's runtime settings and lifecycle.

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• Creating or importing an agent team
• Adding or removing team Workers
• Delegating work through a Team Leader

Manage AI agent Workers by creating roles, selecting runtimes, starting or stopping Workers, and updating their skills. It also covers runtime migration, direct mentions between Workers, and access to the QwenPaw console.

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• Create a Worker with a defined role and skills
• Start, stop, or reset a Worker
• Add or remove Worker skills

Build, migrate, and deploy Next.js apps on Cloudflare Workers with vinext. Use when starting a Next.js project on Cloudflare, moving an existing app to Workers, choosing between vinext and OpenNext, or setting up vinext for Workers. For setup, migration, or deployment, install vinext's upstream skills with `npx skills add cloudflare/vinext` if missing, then read and follow the applicable skill and docs.

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Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.

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Build, migrate, and deploy Next.js apps on Cloudflare Workers with vinext. Use when starting a Next.js project on Cloudflare, moving an existing app to Workers, choosing between vinext and OpenNext, or setting up vinext for Workers. For setup, migration, or deployment, install vinext's upstream skills with `npx skills add cloudflare/vinext` if missing, then read and follow the applicable skill and docs.

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Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.

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Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

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Comprehensive testing guide for Cloudflare Workers using Vitest and @cloudflare/vitest-pool-workers. Use for test setup, binding mocks (D1/KV/R2/DO), integration tests, or encountering test failures, mock errors, coverage issues.

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Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors.

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