'docker' 검색 결과

Coordinate CAD and source assets through conversion to USD, a 3D scene format, material and physics assignment, and SimReady checks. Produce stage reports, with preview rendering and validated delivery packages when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare CAD assets for simulation
• Convert source assets to USD and check basic validity
• Assign materials and physics properties

Plan NVIDIA NuRec workflows that turn sensor recordings into renderable 3D scenes. This routing skill selects the relevant specialist skills for dataset downloads, conversion, training, rendering, and frame cleanup, and puts the steps in order.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a reconstruction workflow from sensor recordings
• Find the steps to render an existing USDZ scene
• Choose a workflow for cleaning up rendered frames

Organize ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag inputs and route them to suitable analysis workflows. Covers initial quality checks and preparation for finding peaks, genomic regions with concentrated signal, and comparing them across samples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose an analysis workflow for an epigenomics assay
• Check FASTQ inputs and sample-sheet readiness
• Organize control and biological replicate information

Set up an iPolloWork development environment in a Daytona cloud sandbox and access the real Electron app through a browser. Follow procedures for connection URLs, logs, restarts, code updates, and common startup problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Launch a cloud development environment for iPolloWork
• Operate the Electron app through a browser
• Check logs and troubleshoot startup problems

Deploy applications to Render by inspecting the code and preparing service settings. Generate a render.yaml configuration or create services through MCP, an agent tool connection, then check deployment status, logs, and basic service health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish a web application or static site on Render
• Prepare deployment settings for apps with databases or workers
• Generate and validate render.yaml

Write and run integration tests for GenLayer contracts in a running environment. Check agreement between the leader and validators, real web and LLM calls, and transaction execution results before deploying your contracts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check agreement between the leader and validators
• Test real web requests and LLM calls
• Run smoke tests before deployment

Create starter projects for AI agents, add deployment configuration and automated build and release pipelines to existing projects, or update generated project files. Supports Python and Go ADK templates and a prototype-first approach.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a Python or Go agent prototype
• Adding deployment configuration to an existing project
• Adding an automated build and release pipeline

Run AI coding command-line tools on behalf of worker agents using their prepared prompts and workspaces. Detect available tools, configure delegation, return results, and apply supported execution controls such as time budgets and permission settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running coding tools for worker agents
• Detecting and selecting available coding CLIs
• Setting Qwen Code permissions and time budgets

Understand SenseNova Team Harness, a workspace you host yourself for collaboration between people and local AI agents. Learn its core concepts, startup requirements, and workflow for assigning tasks, sharing input files, and reviewing versioned deliverables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess whether SenseNova Team Harness fits a team
• Learn how shared spaces, tasks, and deliverables relate
• Get started with a self-hosted workspace

Use this reference to configure GitHub access for AI agents through MCP, a protocol for connecting agents to tools. Covers tool selection, authentication, read-only access, and migration of existing workflow settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring GitHub access for an AI agent
• Selecting tools for issues and pull requests
• Migrating allowed lists to toolsets

Design error recovery for gh-aw workflows, including failed installations and API calls. Define retry limits, increasing wait times, error categories, and debug logs to handle temporary failures and prevent endless retries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add bounded retries to network operations
• Plan recovery from installation failures
• Handle GitHub API rate limits

Review build and deployment pipelines for unsafe workflows, exposed credentials, and configuration flaws across GitHub Actions, Jenkins, GitLab CI, and Terraform state files. Use concrete evidence and false-positive checks to distinguish exploitable issues from suspicious settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review GitHub Actions workflows for unsafe execution paths
• Investigate Jenkins exposure and affected versions
• Check logs, artifacts, and container images for leaked secrets

Investigate bugs in a running local application using service logs, traces that follow requests across services, and a shared browser. Connect frontend actions to backend activity, inspect failures, and verify that tracing records appear as expected.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating bugs in a running local service
• Following a request across multiple services
• Reproducing frontend issues in a shared browser

Prepare a research replication package for the sewage-house-prices project, including an AEA-format README, a master script, and a deposit checklist. Map script dependencies and validate ten requirements so others can follow the analysis workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare research files for a data deposit
• Document script dependencies and execution order
• Trace manuscript tables and figures to their scripts

Provides GitHub Actions and GitLab CI templates for automating tests, builds, and releases. It adapts configurations to project types and covers caching, parallel jobs, credential handling, and controls for production deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up CI/CD for a frontend or backend project
• Automating tests and releases for a library
• Running checks only for changed parts of a monorepo

Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing version updates and release notes
• Coordinating releases across packages and repositories
• Deploying in stages with monitoring and rollback

Extract Markdown and metadata from PDFs, Office documents, emails, archives, and other formats using Apache Tika. Keep attachments and embedded items separate in structured output, detect parsing problems, and read selected portions without overwhelming the agent's context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting readable content from Office documents
• Reading emails together with their attachments
• Checking file types, languages, and metadata

Inspect files with Apache Tika to identify their actual format, embedded content, revision traces, and risk indicators. Save extracted evidence and file hashes while distinguishing recorded claims from observed structure, without asserting authorship or validating signatures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triaging suspicious files and misleading extensions
• Reviewing recorded authors, dates, and creating applications
• Comparing earlier PDF revisions with the final version

Understand how OPC coordinates multiple Claude Code processes through event hooks, skills, scripts, files, and a database. It explains child-agent startup, process tracking, output storage, and completion reporting, helping readers follow the system's architecture.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understanding the components of OPC
• Tracing how child agents start and finish
• Locating hook settings and agent output files

Build queryable collections of genomic variants from VCF and BCF files, formats for recording genetic differences. Covers compressed storage, incremental sample additions, searches by genomic region or sample, and exporting subsets for further analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a variant database for a research cohort
• Adding samples to an existing dataset
• Extracting variants for selected regions and samples

Build image and video AI systems for object detection and segmentation, which identifies separate image regions. The skill covers custom model training, dataset pipelines, inference optimization, real-time processing, and deployment and monitoring in production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Developing object detection and image segmentation systems
• Training custom vision models with project data
• Optimizing inference for real-time video processing

Plan experiments, analyze data, and build and evaluate predictive models. The skill also covers explaining findings to stakeholders and designing production workflows for model deployment, monitoring, and retraining to support business decisions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing experiments and A/B tests
• Preparing model inputs and evaluating predictions
• Planning model deployment and monitoring

Design and improve prompts and structured responses for AI applications. The skill also guides evaluation, retrieval augmented generation, which uses retrieved material to inform answers, and agent architecture, with references and scripts for production workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving prompts and response formats
• Evaluating answers based on retrieved documents
• Designing AI agent systems

Find the right code for Roo Code evaluations, which test AI coding tasks. This skill explains the execution system, management interface, and public results page, helping agents identify where changes and debugging work belong.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Locate code for evaluation infrastructure fixes
• Find guidance for adding exercises or languages
• Identify files for the evaluation management interface