'eu' 검색 결과

Use the Archon CLI to launch AI workflows on projects, inspect their results, and approve, reject, cancel, or resume runs. The skill also guides setup, configuration changes, workflow creation, and improvements to workflow prompts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running an AI workflow to address an issue
• Asking Archon to review a pull request
• Inspecting, approving, or resuming a run

Diagnose GKE TPU slice creation failures caused by shared nodes. Check slice status, partition labels, and monitoring data to identify conflicting resource groups, then provide resolution steps for the user to apply.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating node overlap behind SliceCreationFailed
• Finding slices that share nodes across partition shapes
• Checking whether resource conflicts existed at incident time

Configure OpenTelemetry to send AI application traces, records of execution steps, to Confident AI. Reuse existing exporters, choose the regional endpoint, and add AI-specific attributes without requiring the deepeval Python package.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Send existing AI application traces to Confident AI
• Configure tracing for a non-Python AI application
• Choose the US or EU endpoint for an API key

Turn a research report and experiment results into an English paper with figures, LaTeX source, and a compiled PDF. Coordinate planning, drafting, Gemini reviews, and two revision rounds, preserving PDFs and an improvement log.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a research report into a paper
• Drafting a paper from experiment results
• Preparing a paper for ICLR, NeurIPS, or ICML

Create and manage Volcano jobs and scheduling queues in KubeSphere. Use YAML templates for PyTorch, TensorFlow, MPI, and batch workloads, configure resource requests and execution policies, and investigate jobs that remain pending or fail to create pods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare distributed training jobs for PyTorch or TensorFlow
• Create MPI and batch processing jobs
• Configure queue capacity and scheduling weight

Turn research code and experimental results into ML and AI paper drafts. Clarify the main contribution, connect claims to evidence, find and verify references, and prepare conference submissions using LaTeX templates and review checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a paper from research code and results
• Revising the abstract and introduction around a clear contribution
• Finding related work and verifying references

Build reusable Convex backend components with their own database tables and a small API, the functions an app calls. It guides component structure, app integration, authentication boundaries, and checks for generated code and type errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a local component to an existing Convex app
• Extracting reusable backend logic
• Building an integration with its own tables

Analyze an existing codebase to identify reusable design patterns in components, services, APIs, styling, and refresh scheduling. Produces structured descriptions with representative code, conventions, dependencies, and adaptation notes for reuse or later conversion into skills.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding the structure of a large codebase
• Extracting reusable component and service designs
• Following an existing project's conventions in a new project

Look up species information and archived genetic variants in the European Variation Archive. Uses focused API requests to return concise Markdown summaries, with raw JSON available when structured data is needed for further processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check which species are listed in EVA
• Look up an archived variant by its identifier
• Inspect variants within a small genomic region

Create reusable iPolloWork templates for designs, editable presentations, and HyperFrames videos through conversation. Define replaceable content and visual settings, maintain the template package, and validate editing and theme changes before saving.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn an existing project into a personal template
• Create reusable editable presentation layouts
• Prepare design or video templates with replaceable content

Guide code changes in iPolloWork by reusing existing implementations, limiting new files and dependencies, and keeping responsibilities clear. Review runtime costs, run focused checks, and audit the final changes for duplication and maintainability issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking for reusable code before implementing a feature
• Removing duplicate implementations during refactoring
• Reviewing the need for new files and dependencies

Build ice and frost visual effects in Three.js using reusable modules. Combine branching frost growth, refractive ice spikes, cracks and settling fragments, freezing mist, and swirling snow into a coordinated sequence demonstrated on a snowy ground.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animate frost spreading across the ground
• Create erupting ice spikes that crack and shatter
• Combine freezing mist with a swirling blizzard

Advance one development task by managing an existing pull request, fixing a build failure or bug, or implementing a queued idea. Record the work and integrate changes into auto-dev only after automated checks pass.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing one queued idea
• Continuing work on an open pull request
• Fixing failed checks or reported bugs

Train, deploy, and run predictions with neural networks using Flow Nexus and E2B sandboxes, isolated computing environments. Use existing model templates, distribute training across multiple environments, and check training progress and model performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a model to classify images
• Analyze text sentiment with an existing template
• Train an LSTM model for time series forecasting

Use this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `enum doca_eth_rxq_type` values (`_REGULAR` / `_CYCLIC` / `_MANAGED_MEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf`s — no `doca_eth_frame` struct exists), or debugging DOCA_ERROR_* from an Ethernet call. `doca_eth_rxq` and `doca_eth_txq` are two Core contexts; one `doca_ctx_start()` does not cover both. Trigger on implicit phrasings: "my RX queue is up but no packets arrive", "send-task returns AGAIN at line rate", "which queue type for fixed-MTU ingress", "device open fails without sudo", or "is L3 checksum offload available here". Refuse and route elsewhere for installing DOCA, flow-rule / steering programming, host↔DPU control messaging, or RDMA data movement.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user asks to "build our social posting calendar", "set weekly slots and queue depth per channel", or "plan the evergreen recycle rotation"; produces the always-on brand calendar — pillar allocation with hero/hub/help balance and give:ask targets (all labeled Estimated starting heuristics to calibrate against own analytics, never scored rules), per-channel recurring slots with queue depth, a batching workflow, an evergreen recycle cycle with freshness re-checks, deliberate open slots for realtime/trend moments fed by trend-spotter go/skip verdicts, and first-comment/publish-order ops — cadence commitments filed to the channel registry, and no batch ships to the queue without a SHIP verdict from social-quality-auditor pre-publish mode. Not for repurposing an existing asset or the paid-amplification calendar — use content-amplifier. 社媒排期/内容日历/栏目配比/常青循环复用

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Evaluate and improve interface usability using heuristic analysis. Use when the user mentions "usability audit", "users are confused", "form usability", "navigation problems", "Nielsen heuristics", "cognitive walkthrough", or "is this easy to use". Also trigger when reviewing a design for usability issues, improving form-completion rates, or evaluating information architecture and navigation. Covers Krug's laws, Nielsen's 10 heuristics, severity ratings, dark-pattern recognition, and accessibility. For visual design fixes, see refactoring-ui. For conversion-focused audits, see cro-methodology.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use TypeUI with Grok to access project design skills, brand kits, UI prompts, and layout variations through the TypeUI MCP server when creating or refining user interfaces.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use TypeUI with Hermes Agent to access project design skills, brand kits, UI prompts, and layout variations through the TypeUI MCP server when creating or refining user interfaces.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use TypeUI with OpenClaw to access project design skills, brand kits, UI prompts, and layout variations through the TypeUI MCP server when creating or refining user interfaces.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Für Deutsch Englisch AGB: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen. Fachgebiet: AGB-Recht-Prüfer. Route: deutsch-englisch-digitale-inhalte-handbuch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Für Deutsch Englisch AGB: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen. Fachgebiet: AGB-Recht-Prüfer. Route: deutsch-englisch-agb.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Source authentic, high-res PUBLIC-DOMAIN artwork from museum open-access APIs (Met, Cleveland, SMK, Rijksmuseum, NGA, Art Institute of Chicago, Getty, Smithsonian) instead of AI-generated or generic-stock imagery. The default move whenever a visual needs an aesthetic, credible image (blog heroes, decks, social cards, essay/spec figures). Verified keyless recipes + licensing rules inside.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate Euro NCAP test scenarios and variants using the ADT Euro NCAP support package. Use when creating NCAP seed scenarios, generating variants, translating between drivingScenario and RoadRunner, plotting scenario descriptors, computing NCAP scores, or exporting reports. Triggers on: ncapScenario, euroAssessment, getScenario, getScenarioDescriptor, generateVariants, ScenarioDescriptor, ScenarioDescriptorPlot, ncapScore, ncapReport, exportReport, configureVUT, assessmentTable, Euro NCAP, CCRs, CCRm, CCRb, CCFtap, CCCscp, CPNA, CPFA, CBNA, variant generation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.