「queue」の検索結果

Inspect one bounded Proto UI Issue queue slice and route ready governed work toward claim and implementation. Use for intake health, readiness, ownership, claim conflicts, stale state, or a candidate task search. This evidence leaf is read-only; authorized claim and implementation continue in their registered leaves.

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 one bounded Proto UI pull-request slice, produce canonical review input, and route each eligible exact head toward review and integration. Use for review queues, linked work, evidence gaps, merge conflicts, stale revisions, or portfolio health. This evidence leaf is read-only; authorized review and integration continue in their registered leaves.

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。

Freeze one eligible Proto UI autonomous-maintenance candidate into a bounded mission packet and lease. Use before observation when a current request or governed queue supplies scope, oracle, baseline, capability, risk, budget, completion, and stop conditions. Do not observe, verify, repair, or invent a mission.

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 working with TeamCity CI/CD or when a user provides a TeamCity build URL — drives the `teamcity` CLI for builds, logs, jobs, queues, agents, pools, projects, and pipelines.

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。

Analyze Ascend NPU schedule, operator dispatch, operator launch, and Host Bound profiling issues in Ascend profiling data. Use when need to diagnose device Free time, framework/operator dispatch latency, launch latency, PYTORCH_API/CANN_API launch gaps, aclrtSynchronizeStream stalls, task queue behavior, CPU scheduling interference, GC/lock pauses, CPU affinity, or schedule-side optimization actions.

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。

Work with any Upstash product, SDK, or tool, including serverless Redis (caching, sessions, leaderboards, key-value storage), Ratelimit (rate limiting and throttling), QStash (message queue, cron schedules, background jobs), Workflow (durable long-running functions), Vector (vector database for embeddings, semantic search, and RAG), Search (full-text and semantic search), Box (sandboxed cloud containers for AI agents, TypeScript/JavaScript and Python), Blob (serverless S3-compatible file storage with direct browser uploads), the Upstash CLI, and no-signup scratch Redis for agents. Use when the user mentions Upstash or needs any of these capabilities in a serverless, edge, or Node.js app.

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。

Work with the @upstash/redis TypeScript/JavaScript SDK, a serverless HTTP-based Redis client for Next.js, Vercel, Cloudflare Workers, edge runtimes, and Node.js. Use when adding a cache (cache-aside, write-through, TTL and expiration strategies), session storage and user sessions, a key-value store, leaderboards and rankings with sorted sets, counters, distributed locks, queues with lists, streams and consumer groups, sparse index-addressed arrays and ring buffers (ARSET, ARINSERT, ARRING, ARGREP, AROP), embeddings and nearest-neighbour vector search stored inside Redis (VECTOR commands via redis.vector, separate from @upstash/vector), JSON documents, pipelines and MULTI/EXEC transactions, Lua scripting, read replicas, or full-text search, typo-tolerant search, facets, aggregations, and search over Redis stream entries with Upstash Redis Search (different from regular FT.SEARCH; also available for TCP clients via @upstash/search-redis and @upstash/search-ioredis). Also use when migrating from ioredis or node-redis, when a Redis connection is needed from a serverless function without connection pooling, when integrating @upstash/ratelimit, or when the user says Redis cache, KV store, session store, serverless Redis, or Upstash Redis. Also use when building AI agents on Redis with Upstash AgentKit (agent memory, chat history, RAG tools, tool caching, chat persistence, resumable streams, distributed locks) for the Vercel AI SDK, TanStack AI, or Vercel Eve. Supports automatic serialization/deserialization of JavaScript types.

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。

Provision a zero-config, no-signup, temporary Upstash Redis database for an AI agent with a single POST to https://upstash.com/start-redis, with no account, API key, or SDK setup required. Use when an agent needs scratch Redis right now and the user has not provided credentials, for short-term memory across tool calls, conversation history, a sub-agent work queue, ranked recall, or a quick prototype or demo. Covers idempotent creation and re-fetching credentials, calling the database through the body-style REST API or the official SDKs, and telling the user how to claim it. The database lives 3 days unless the user claims it; not for production data, PII, or secrets.

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。

Drive the terum-skills CLI from a Claude Code or Codex session: run any verb with --format md and show its board — inspect the Library or the team Marketplace, search, fetch with sync, validate or fix a local skill, install the latest version into Global or an added project, publish a local skill as an immutable version, manage the eval queue — and prepare the verbs that belong in a terminal (project setup, skill move/copy/rename/delete, prune, reconcile, machine uninstall, team administration). Use when the user wants to manage, evaluate, publish or install skills and no narrower terum-skills skill fits.

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 analyzing an existing TypeScript or JavaScript codebase to decide where and how to introduce Inngest. Covers repository discovery, framework and package detection, finding durability gaps in HTTP handlers, webhooks, cron jobs, queues, long-running jobs, AI agents, Agent Evals, polling loops, eval loops, and side-effect-heavy code, then producing and implementing an incremental integration plan.

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。

Use when the user asks to track, scan, monitor, digest, or maintain a reading queue for new papers from top journals, Nature/Science/Cell/PNAS families, or any research field. Works with any discipline — ecology, environment, CS, medicine, physics, social sciences, etc.

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。

Turn meeting notes, transcripts, or rough bullets into decisions, action items, owners, due dates, and follow-up queues. Use when the work is repetitive meeting cleanup or recap writing. Do not use for negotiation strategy, legal advice, or executive decision framing.

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。

Standardize incoming legal or commercial contract requests into request type, missing information, priority, and review queue. Use when the work is intake routing and request cleanup. Do not use for clause interpretation, negotiation strategy, or legal advice on the agreement itself.

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。

Triage email, Slack, ticket, or shared request backlogs into priority buckets, owners, and next actions. Use when the work is repetitive queue handling, intake cleanup, or response sorting. Do not use for strategic decisions, policy interpretation, or substantive contract 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。

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。

Read every application.yaml in the workspace and report the state of the search — the ranked queue, what is waiting on you, what has gone quiet, and the regression of the pipeline's own predictions against actual outcomes. Writes the calibration findings back into job_search.md and preferences.yaml.

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。

Local-first architecture with sync queues

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 Workers edge compute platform — Wrangler CLI, KV, D1, R2, Durable Objects, Queues, Workers AI

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。

Redis in-memory data store patterns with ioredis and node-redis -- caching, sessions, rate limiting, pub/sub, streams, queues, transactions, cluster

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。

Drain the Pharos Dependency Map coverage-audit queues into evidence-refreshed edges, reviewed target dispositions, or documented deferrals. Use monthly after weekly production dependency audits, after dependency coverage drops, or when reviewing adapter gaps, material unlinked slices, symbol leads, duplicate/split groups, or unverifiable published edges.

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。

Write or refresh evidence-grounded editorial summaries for stablecoin detail pages, including draining the AI-summary candidate queue after scoring changes.

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。

End-to-end plan → implement → review pipeline that takes one triaged Gaia issue to a merged-ready PR, with Kill Criteria on the issue and zero follow-up debt. Use when someone says: "resolve this issue", "take #N end-to-end", "work the P0 queue", "fix and ship this issue", "run the resolver", "close out this issue properly", or /gaia-issue-resolver. Works any gaia-research org repo — gaia-skill-tree, gaia-research, gaia-skill-heaven — while the issue itself lives on the headquarters tracker, gaia-research/gaia-skill-tree. Assumes the issue is already triaged and carries a P0–P4 label; if it does not, run /gaia-triage first.

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。