「scheduler」の検索結果

Dokku is an open-source, single-server platform-as-a-service: it builds an app from a git push (buildpacks or a Dockerfile), runs it in Docker containers behind nginx, and manages domains, TLS, config and datastores through one CLI. Use when a user asks to "self-host a Heroku alternative", "set up git push deploys on a VPS", "deploy my app with Dokku", "add Postgres or Redis to a Dokku app", "get Let's Encrypt on Dokku", or "fix ports for a Dockerfile app on Dokku". Covers installation from the apt repository, deploys, environment variables, plugins, zero-downtime checks, storage and the k3s scheduler.

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。

Runs background jobs in Node.js with BullMQ, a job queue library backed by Redis (or PostgreSQL since v6): delayed and prioritized jobs, retries with backoff, rate limiting, cron-style job schedulers, parent-child flows and concurrency control. Use when a user asks to add a background worker, queue emails or webhooks, schedule recurring jobs, retry failed jobs, rate limit an API client, or migrate from Bull or from BullMQ 5 repeatable jobs.

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。

Windows 11 system administration with PowerShell — system info reporting, hardware monitoring, package management (winget/scoop), disk cleanup, performance optimization, environment configuration, PowerShell profile setup with aliases and autocomplete, and Task Scheduler automation. Use when user asks to check system info, install tools on Windows, clean up disk space, set up PowerShell profile, or automate Windows tasks. Do NOT use for Linux administration, cross-platform scripting, or network infrastructure management.

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 adding or changing a scheduled data or ML pipeline — Dagster assets, Prefect flows, Airflow DAGs or a cron'd entrypoint — idempotent partitioned stages, retries, backfills, quality gates, and testing the pipeline without the scheduler

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 task has a background job, queue consumer, scheduler or webhook - firing the real trigger, polling for the side effect, and the retry, idempotency and poison-message cases

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。

Design a spaced retrieval schedule for any topic list and timeline. Use when planning units, term sequences, or revision programmes.

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。

Expert guide for scheduled tasks, cron jobs, recurring background work (Vercel Cron, Cloudflare Workers Cron, Inngest, node-cron), and distributed scheduling / Panduan ahli untuk tugas terjadwal, cron job, pekerjaan latar belakang berulang, dan penjadwalan terdistribusi.

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。

OpenStack Nova compute service skill for deploying, configuring, operating, and troubleshooting cloud compute infrastructure. Covers instance lifecycle management (create/stop/start/reboot/resize/migrate/evacuate), compute scheduling with filters and weights, flavor management, live migration procedures, hypervisor management (KVM/QEMU via libvirt), placement service for resource tracking, CPU pinning, NUMA topology, huge pages, cell mapping, VNC/SPICE console access, and capacity planning. Use when deploying compute via Kolla-Ansible, managing instances, debugging scheduler failures, or planning compute capacity.

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。

Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.

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-only Red Team audit of the FMT/IWE platform: source, manifests, setup/update paths, CI and release provenance, agent permissions and memory, hooks, runtime, roles, schedulers, Day Open/Close, and regression claims. Use before merging or publishing a release, after changes to updater/runtime/security behavior, or when verifying a reported platform defect. Excludes real consumer workspaces and personal customizations; use repository-owned code and synthetic disposable fixtures only.

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 scheduled jobs. Use when the user wants to create, list, inspect, update, pause, resume, or remove recurring or one-time scheduled tasks. Handles cron schedules, interval-based (every), one-time (at) jobs, platform job templates, and scheduled workflow runs.

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。

OctoClaw is the TypeScript-first policy, delegation, status, and operator layer for OpenClaw. Use it when a turn should be routed through reply/delegate policy, WorkContract-backed delegation, runtime status, IM delivery, or feedback-loop tooling.

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。

Decision framework for agents to determine WHEN and WHETHER to use Claude Code's native cron scheduler (CronCreate/CronList/CronDelete) vs OS cron, GitHub Actions, or simple Task() delegation.

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 diagnosing scheduler latency, kmalloc vs vmalloc, page cache, meminfo under pressure, or OOM victim choice, or when reading kernel/sched, mm, or fs source.

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 navigating kernel source, understanding boot flow, initcall levels, or major subsystems (VFS, scheduler, MM) in linux.git. Not for driver-model depth: use device-drivers.

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 debugging RelWithDebInfo or -O2 release builds, using -Og for debuggable optimization, split-DWARF, GDB scheduler-locking, reading inlined frames, or understanding "value optimized out".

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 LibAFL fuzzer needs an executor, observer, feedback, mutator, scheduler, or objective composed around a target. Not for remote, credential, publish, deploy, or irreversible 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。

Use when diagnosing NPU + PyTorch or LLM Serving Host CPU affinity, NUMA locality, cgroup/cpuset constraints, CPU range conflicts, PyTorch/runtime threading, DataLoader, tokenizer, scheduler, vLLM-Ascend, SGLang, TTFT, TPOT, tokens/s, QPS, or multi-rank/multi-worker CPU binding issues.

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。

Frappe backend guidance for Python and backend-adjacent JavaScript surfaces such as client interaction patterns, hooks, APIs, patches, scheduler logic, reports, and server-side review. Use when implementing or reviewing Frappe backend behavior.

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。

Hunts for malicious scheduled task persistence by analyzing task registration events (4698) and schtasks process creation for suspicious actions, triggers, and hidden tasks. Activates for requests to hunt scheduled task abuse, detect malicious schtasks usage, or find persistence via the Task Scheduler.

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。

Generate images via the Stable Diffusion WebUI / Forge HTTP API (AUTOMATIC1111-compatible `/sdapi/v1/*`). Use when the user wants to (1) discover or pick a model / extra module (TE/VAE) / sampler / scheduler / style preset from a running sd-webui server, (2) generate an image with a given prompt (txt2img), (3) check generation progress, (4) cancel/interrupt an in-flight generation, (5) inspect or change a global sd-webui option (e.g. active checkpoint), or (6) test connectivity. This skill talks to a *generic* sd-webui-compatible server (AUTOMATIC1111, Forge, reForge, sd-webui-forge-classic). Do NOT trigger for requests that are purely writing the prompt 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。

Craft high-quality natural-language image prompts for any modern text-to-image or image-edit model that accepts flowing English. Trigger when the user wants help writing, rewriting, improving, or translating an English natural-language image prompt — including "write me an image prompt", "improve this image prompt", "describe this scene for an image model", or "convert these tags into a natural language prompt". Do NOT trigger for requests that are purely about dispatching to an image API, choosing samplers/schedulers, picking LoRAs, or setting up ControlNet — those belong to a runtime 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。

Wave-based parallel scheduling for DAG execution. Manages execution order, resource allocation, and parallelism constraints. Activate on 'schedule dag', 'execution waves', 'parallel scheduling', 'task queue', 'resource allocation'. NOT for building DAGs (use dag-graph-builder) or actual execution (use dag-parallel-executor).

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。

Executes DAG waves with controlled parallelism using the Task tool. Manages concurrent agent spawning, resource limits, and execution coordination. Activate on 'execute dag', 'parallel execution', 'concurrent tasks', 'run workflow', 'spawn agents'. NOT for scheduling (use dag-task-scheduler) or building DAGs (use dag-graph-builder).

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。