「worker」の検索結果

Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.

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。

Create and audit Claude subagents. Use when building specialized workers with isolated context. Includes frontmatter, allowed-tools, and agent patterns. Not for commands or skills.

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。

Inspect Orchestra projects and tasks, assign workers, queue planning, approve exact plans only on human instruction, request replanning with feedback, show stored PR linkages, reconcile receipts, and scope native agent/skill authoring. Orca-managed worktrees use the separate Orca CLI skill.

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。

Run a reusable opportunity-to-artifact workflow: discover unmet needs, set up workspace factories, schedule recurring commander/worker/reporter prompts, batch-refine many items, optionally use SQLite state, build small artifacts, review quality, and track outcomes. Use when the user wants to repeatedly create apps, games, products, content, or experiments from market/user needs.

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。

Idiomatic Go concurrency - sync primitives, channel semantics, the select statement, and the standard channel patterns (cancellation/done-channel, fan-out/fan-in, pipeline, or-done, context, worker-pool). Use when writing or reviewing Go that spawns goroutines, shares state, or coordinates over channels, even if the user never says "concurrency" - e.g. data races, deadlocks, goroutine leaks, sync/context/select usage, or "make this parallel". Distilled from luk4z7/go-concurrency-guide.

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。

Choose responsibility for substantial work before deep execution: keep one responsibility's coupled parts in a single lane, and hand a bounded or independent lane to a worker when clean context, an unknown cause, independent review, or coordinator attention materially improves the outcome.

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。

Use when integrating Celery with Django - task definition and calling, django-celery-beat scheduling, worker deployment, Flower monitoring, testing tasks, batch processing, or choosing between cron and beat

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。

Use when running background tasks with Celery - worker and broker configuration (Redis, RabbitMQ), task routing by name vs queue, chains/groups/chords, retry patterns (autoretry_for, retry_backoff), acks_late semantics, failure detection, and monitoring with Flower

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。

MANDATORY deploy after every code change. Typecheck → deploy → purge CDN → E2E on production → visual verify → fix-forward loop. Workers Builds native CI/CD, D1 Time Travel PIT recovery, D1→R2 long-term backups, wrangler rollback, wrangler secrets management, structured observability, cross-browser smoke tests, rollback procedures, and GitHub auto-configuration.

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。

Cloudflare-first platform selection. Decision trees for Workers, D1, R2, KV, DO, Queues, Vectorize, Containers, Sandboxes, Flagship, Agent Memory, Workflows v2. Default stack, override conditions, auth, data patterns, reliability.

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。

23-category product-building OS. CF Workers+Hono, React 19+Vite / Angular 22+Spartan, D1, Drizzle, Clerk, Square/Stripe. 149 reference docs, 28 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。

MSW handlers, browser/server workers, test data. Use when setting up API mocking for development or testing, creating mock handlers with variants, or sharing mocks between browser and Node environments.

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。

Product management workflows covering the full work lifecycle — discovery, strategy, execution, launch, and growth. Write PRDs, plan OKRs, and structure meeting notes. Useful beyond PMs — applicable to any knowledge worker managing projects, stakeholders, or strategy. Triggers: /write-prd, /plan-okrs, /meeting-notes

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。

Run bounded, read-only semantic advisory sidecar passes for candidate mapping, issue triage, upstream diffs, evidence verification triage, and meta audit hints. Enforces monthly spend limits with explicit fallback to worker-luna.

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。

Use this skill whenever the user wants to see how their branch will look on the live Gaia website before merging — "preview this branch", "show me what this looks like", "deploy a preview", "trigger a design preview", "can I see the site with these changes", "preview the skill profile", "check how this renders on the site", "spin up a preview deployment". This skill dispatches a Cloudflare Worker preview deployment for the current branch via GitHub Actions — no local build tooling required. Ideal for containerized environments, design reviews, and confirming that newly curated skills or profile pages render correctly before a PR is merged to main. The preview does NOT regenerate docs; it deploys `docs/` from the branch as-is. If your change depends on regenerated Class S artifacts, run `gaia dev docs` and commit those first — the preview then reflects them.

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。

Close out a completed EPIC / sprint end-to-end: author a fact-verified meta-post announcing what shipped, archive the EPIC's handovers, snapshot orchestrator memory, gate the integration→main merge on CI-green + explicit human go, drive the version bump (merge-commit conventions that auto-sync classifies), and verify the release reached the registry/PyPI. Use when the user says "close out EPIC <n>", "wrap up the sprint", "ship the meta shift", "/epic-close", or asks to finalize an integration branch that is ready to merge to main. Generalizes the EPIC 1002 (Yggdrasil II) close-out. This skill orchestrates — it authors founder docs directly (superadmin) and delegates code/regen to workers; it NEVER merges to main without the human gate.

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。

Harness-neutral, discovery-only Gaia curation extension. A Sol/Terra-class orchestrator preflights capacity, shards safe volume work to configurable Luna workers, converges risky cases, and stops at human L4 review.

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。

Pick the right Pulp Stream for a given I/O task, wire async callbacks correctly without deadlocking the worker, and avoid the backpressure / cancellation footguns in `pulp::runtime::AsyncStream`.

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。

用于实现或审查前端服务端状态流程：类型化查询、请求缓存、失效、mutation、乐观更新、无限查询、预取、SSR hydration 或 API 层整合。不要用于本地 UI 状态或 Service Worker 缓存；中文触发词包括 数据获取、缓存、乐观更新。

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。

Use when implementing or reviewing frontend server-state flows: typed queries, request caching, invalidation, mutations, optimistic updates, infinite queries, prefetch, SSR hydration, or API-layer integration. Do not use for local UI state or Service Worker caching; Chinese triggers include data fetch, cache, optimistic updates.

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。

Use when a task needs the judgment of a First-Line Supervisor of Entertainment and Recreation Workers (camp, pool, ride crew, attractions, or activities floor) — building today's shift roster against certification/ratio requirements when call-outs hit, running a pre-shift briefing, triaging an escalated guest complaint, deciding whether a new hire is ready to sign off independent, or choosing when to consolidate or close a program area for the day.

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。

Writes, debugs, and refactors JavaScript code using modern ES2023+ features, async/await patterns, ESM module systems, and Node.js APIs. Use when building vanilla JavaScript applications, implementing Promise-based async flows, optimising browser or Node.js performance, working with Web Workers or Fetch API, or reviewing .js/.mjs/.cjs files for correctness and best practices.

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。

Cloudflare guidance — DNS, CDN caching, WAF, Workers, Pages, Zero Trust, and edge performance tuning.

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。

Manage fleets of local AI agents — spawn, supervise, route tasks, monitor progress, and shut down workers cleanly. Use when coordinating multiple agents on parallel workstreams.

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。