'r' 검색 결과

Connect json-render to Redux or Redux Toolkit so UI state reads and writes use a Redux store. The skill explains how to select the relevant state and dispatch actions that replace it when updates occur.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting json-render to an existing Redux store
• Using a Redux Toolkit slice for UI state
• Configuring state selection and update actions

Combine laboratory animal welfare measurements into reference-relative RELSA severity scores. Analyze individual trajectories, explore forecasts for specified observation times, and derive candidate score zones, with explicit checks on normalization, reference selection, prediction intervals, and evaluation limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Combine animal welfare measurements into daily scores
• Compare group severity using a shared reference
• Explore severity forecasts at specified observation times

Turn work history, education, and skills into a complete resume for Reactive Resume. Gather missing facts through conversation and produce JSON, a structured data format, with the chosen template and layout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a new resume through conversation
• Convert work history into Reactive Resume JSON
• Choose a resume template and section order

Provide shared writing guidance and journal requirements for other installed Nature skills. This supporting reference package covers manuscript structure, evidence-based claims, and journal-specific formats; it is used through another skill rather than as a standalone workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Referencing shared guidance through a Nature writing skill
• Consulting journal-specific submission requirements
• Reviewing manuscript length and repeated claims

DevOps 与站点可靠性工程 (SRE) — 平台 / 基础设施 / 可靠性工程师的认知操作系统, 覆盖软件交付 + 运维全生命周期 (CI/CD 与发布工程 trunk-based + 渐进式发布 canary/blue-green/feature flag + GitOps Argo CD/Flux / 基础设施即代码 Terraform/OpenTofu/Pulumi/Ansible + policy-as-code OPA / 容器与编排 Docker/Kubernetes + Helm/Kustomize + service mesh Istio/Linkerd / 可观测性 Prometheus + Loki + OpenTelemetry + Honeycomb + eBPF + RED/USE / SLO-SLI-error budget 与可靠性工程 Google SRE 学科 + 容量规划 + 优雅降级 / 事件管理与 on-call 事件指挥 + PagerDuty + runbook + 无指责复盘 + MTTR / 云平台与 FinOps AWS/GCP/Azure + 成本优化 + 弹性伸缩 / 平台工程与开发者体验 IDP + Backstage + golden path + Team Topologies / DevSecOps 与供应链安全 shift-left + SBOM + SLSA + sigstore + Vault / 韧性与混沌工程 fault injection + game day + 安全科学 / DORA 指标与工程效能 部署频率 + 变更前置时间 + 变更失败率 + Accelerate 研究 / 数据库与有状态运维 schema 迁移 + 备份容灾) — 不含 通用应用开发 / 纯云销售认证速成 / 'DevOps = 跑 Jenkins 的岗位' 窄化误解 / ITIL 工单文化传统运维 (旧范式仅做边界) / 把手工运维 ClickOps 当稳态 (是 toil, 本 skill 核心反模式) (DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitioners who own the full software delivery + operational lifecycle, covering (a) CI/CD & release engineering (build pipelines, trunk-based development, progressive delivery — canary / blue-green / feature flags, GitOps with Argo CD / Flux), (b) Infrastructure as Code (Terraform / OpenTofu, Pulumi, CloudFormation, Ansible, Crossplane — module design, state management, drift, policy-as-code OPA / Sentinel / Checkov), (c) containers & orchestration (Docker / OCI, Kubernetes — scheduling, networking CNI, storage CSI, operators / CRDs, Helm / Kustomize, service mesh Istio / Linkerd), (d) observability (the three pillars + beyond — metrics Prometheus / VictoriaMetrics, logs Loki / ELK, traces OpenTelemetry / Jaeger / Tempo, high-cardinality observability Honeycomb, eBPF, RED / USE methods, SLO-based alerting), (e) SLO / SLI / error budgets & reliability engineering (Google SRE discipline — service level objectives, error budget policy, toil budgets, capacity planning, load shedding, graceful degradation), (f) incident management & on-call (incident command, PagerDuty / Opsgenie, runbooks, blameless postmortems, MTTR / MTTD, error budget burn), (g) cloud platforms & FinOps (AWS / GCP / Azure well-architected, multi-region, cost optimization, autoscaling), (h) platform engineering & developer experience (internal developer platforms, Backstage, golden paths, self-service, Team Topologies), (i) DevSecOps & supply-chain security (shift-left, SAST / DAST, SBOM, SLSA, sigstore / cosign, secrets management Vault), (j) resilience & chaos engineering (chaos experiments, fault injection, game days, resilience engineering / safety science), (k) DORA metrics & engineering effectiveness (deployment frequency, lead time, change failure rate, MTTR, the Accelerate research), (l) databases & stateful operations (schema migrations, backups / DR, replication); NOT generic software development / app feature coding (是 平行学科, DevOps/SRE 关注 delivery + operability 不是 product feature), NOT pure cloud sales / certification cram without operational depth, NOT 'DevOps = a job title that runs Jenkins' 的窄化误解 (DevOps 是 文化 + 实践, SRE 是 Google 对 reliability 的工程化具体实现), NOT ITIL-heavy 传统运维 工单文化 (是 被 DevOps 取代的旧范式, 仅做边界标注), NOT manual ops / ClickOps as a steady state (是 toil, 本 skill 的核心反模式).) Master OS — automated mastery of DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitioners who own the full software delivery + operational lifecycle, covering (a) CI/CD & release engineering (build pipelines, trunk-based development, progressive delivery — canary / blue-green / feature flags, GitOps with Argo CD / Flux), (b) Infrastructure as Code (Terraform / OpenTofu, Pulumi, CloudFormation, Ansible, Crossplane — module design, state management, drift, policy-as-code OPA / Sentinel / Checkov), (c) containers & orchestration (Docker / OCI, Kubernetes — scheduling, networking CNI, storage CSI, operators / CRDs, He

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rebuild and install the Remotion Canvas Capture Chrome extension in a durable location, restore it after a working directory is deleted, and reload it in a compatible browser. It also prepares a webpage and still preview before manual recording.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restore the extension after deleting a working directory
• Rebuild and reload after source changes
• Prepare a webpage and preview before recording

Support academic work from refining a research question to literature reviews, manuscript drafting, citation checks, and revision. Select workflows for the current stage, including study selection against eligibility criteria, peer review, and experiment planning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Narrow a broad topic into a research question
• Prepare a literature review or systematic review
• Draft a paper outline or abstract and check citations

Connect json-render interfaces to XState Store for state management. The skill shows how to adapt an atom, a container holding application state, so json-render reads and writes through it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting json-render screens to XState Store
• Using an existing atom as the source of UI state
• Setting up a StateStore adapter and StateProvider

Review changes since the last npm release through parallel change analysis, hands-on quality checks, and an overall release assessment. Receive a readiness verdict, blocking issues, version recommendations, and a draft changelog with compatibility concerns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess readiness before an npm release
• Check breaking changes and migration needs
• Review version bump recommendations

Migrate existing Remotion video compositions to HyperFrames HTML and GSAP. Checks source code for unsupported patterns, maps animation and media features, compares rendered videos for visual similarity, and documents translation gaps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating an existing Remotion composition to HyperFrames
• Checking source code for migration blockers
• Comparing original and converted video renders

Guide Prisma 8 development by selecting task-specific references for data definitions, queries, migrations that change database structure, runtime setup, debugging, and upgrades. Check package versions and generated contract files before proceeding with implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Prisma 8 or connect it to an existing database
• Edit data definitions and plan database migrations
• Write queries and configure database connections

Prepare and review LoRA or QLoRA settings for adapting language models using example responses. Choose trainable layers, adapter capacity, learning rate, and memory-related options, then produce configuration values for a downstream training script.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a LoRA configuration for supervised fine-tuning
• Reviewing rank, alpha, and learning rate settings
• Choosing LoRA or QLoRA based on GPU memory

Design Azure infrastructure from plain language or visualize existing resources as interactive diagrams. Refine the architecture through conversation, then generate Bicep infrastructure code, review it, and validate changes before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new Azure architecture
• Visualizing existing Azure resources
• Planning cost or security changes

Check Bicep infrastructure definitions before deploying to Azure. Validate syntax, preview resource changes, check deployment permissions, and produce a Markdown report of issues and recommendations using Azure CLI or Azure Developer CLI workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validating Bicep files before deployment
• Previewing resource creation, modification, and deletion
• Checking deployment permissions

Find the Wren CLI workflow for answering data questions, connecting databases or SaaS sources, generating model definitions, adding business metrics, or building a shareable analytics app. Guides are retrieved from the installed CLI version.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Wren and connect a database
• Load HubSpot or Stripe data through dlt
• Generate model definitions and add business metrics

Record React rendering activity during specific Remotion Studio interactions to investigate repeated renders and slow updates. Compare measurements before and after code changes under matching conditions, and check that behavior still works correctly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate unnecessary React renders in Remotion Studio
• Identify components responsible for slow updates
• Analyze rendering related to timeline position

Plan how agents retain active work across conversation compaction, context loss, and restarts. Organize restoration packets that preserve purpose, progress, ownership, and constraints, distinguish resume from fork or rebuild, and check whether work actually resumes correctly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare restoration materials before conversation compaction
• Preserve task purpose and ownership across a restart
• Distinguish native resume, fork, and artifact-based rebuild

软件架构 (含 应用架构 / 系统架构 / 分布式 后端架构 / 前后端 数据流 与 数据模型 设计 / API 边界 / 可扩展性 / 演进式架构 — 不含 硬件架构 / 纯企业架构 / 纯 DevOps / 纯安全架构) (software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines).) Master OS — automated mastery of software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines).: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on software architecture — application & system architecture for web / mobile / distributed back-ends; designing services + data models + data flow + integration boundaries; making explicit trade-offs about scalability / coupling / consistency / evolvability; not hardware / chip architecture, not pure enterprise-architecture (TOGAF/Zachman), not pure DevOps / SRE, not pure security architecture (those are adjacent disciplines). problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「软件架构」「系统设计」「system design」「应用架构」「service design」

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Explore local or remote repositories with Repomix CLI to understand their structure, locate related code across files, and review file counts and estimated tokens, the units AI models use to process text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding an unfamiliar project's structure
• Locating authentication code and API endpoints
• Checking file counts and estimated AI tokens

Prepare a software release from the dev branch by turning commits into a changelog, updating the version, and creating a pull request to main. The workflow also covers release tags, branch synchronization, and Homebrew package updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a patch, minor, or major release
• Turning changes into a user-facing changelog
• Updating Homebrew packages after publishing binaries

Set up an inspection panel in React json-render apps to examine UI definitions, edit state, and review action and stream timelines. The skill also covers opening or toggling the panel and recording events from React code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an inspection panel to a React app
• Inspecting UI definitions, state, and action history
• Opening or toggling the panel from React code

Helps adapt machine learning training to multiple GPUs and machines with Ray Train. Covers resource allocation, recovery from saved training states, and Ray Tune searches that compare settings such as learning rate and batch size.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adapt existing PyTorch training to multiple GPUs
• Run HuggingFace training across multiple machines
• Compare learning rates and batch sizes with Ray Tune

Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev - search by meaning, not keywords, no Reddit OAuth or app registration needed. Use when the user wants to research what people say on Reddit, find user pain points and complaints, validate a product or niche idea, do competitor and market research, track subreddit trends over a date range, or discover which subreddits discuss a topic. Also use when the user mentions 'Reddit research', 'Reddit 调研', 'search Reddit', 'subreddit discovery', 'niche validation', 'pain points', 'user complaints', or 'Reddit trends'. Requires REDDAPI_API_KEY. For B2B lead scoring, see reddit-leads; for a bare API reference, see reddit-search-api.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a ruflo agent on your ruOS cloud desktop through an authenticated connection. Follow its output as it runs, record execution status in ruflo, and release the task claim when the run finishes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run an agent task on a ruOS desktop
• Follow remote agent output as it runs
• Record remote execution status in ruflo