'environment' 검색 결과

Diagnose Python spreadsheet failures through staged checks of the interpreter, library imports, file access, and basic operations. Minimal test scripts help separate environment problems from errors in the full processing script.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating unclear errors returned by run_shell
• Diagnosing spreadsheet scripts that suddenly stop working
• Checking Python setup in a new environment or container

Prepare a Python environment for Mixpanel analysis by installing required libraries and checking credentials and connectivity. Use it for first-time setup, missing dependencies, or guidance on service account and OAuth sign-in options.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a new environment for Mixpanel analysis
• Install missing Python analysis libraries
• Configure service account or OAuth credentials

Use the HyperFrames command-line tool to set up HTML-based video projects, check structure and text overflow, preview compositions, and export video. It also covers audio transcription, text-to-speech generation, and environment troubleshooting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a video project from a template
• Checking text overflow before rendering
• Previewing and exporting MP4 or WebM video

Build isolated code execution environments on Cloudflare Workers for AI-generated code, scripts, and build pipelines. Covers running commands, managing files, preserving interpreter state, exposing service previews, and cleaning up sandbox resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an execution environment for AI-generated code
• Run build and test pipelines in isolation
• Preview a web service running in a sandbox

Set up and use CircleCI Chunk for AI-assisted build and delivery workflows. Chooses web or command-line steps for configuration, failed-build troubleshooting, environment setup, and task execution, then reports results and unmet prerequisites.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Chunk and a model provider
• Investigate and fix failed builds
• Configure project environments

Investigate Sentry issues by comparing recent events, error locations in code, tags, environments, releases, and recurrence patterns. Separate observed failures from suspected causes before proposing a fix grounded in the available evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate a Sentry issue within a defined time window
• Compare errors across environments and releases
• Separate observed facts from suspected causes

Connect applications to NEAR AI Cloud for AI responses generated in protected computing environments. Use its OpenAI-compatible API and follow the verification flow for hardware proofs and response signatures to check which protected environment signed a response.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting a chat app to the OpenAI-compatible API
• Verifying GPU and CPU execution environment proofs
• Checking response signatures against verified signing addresses

Work across multiple n8n instances through one MCP connection, the link used by an agent to call tools. Specify each operation’s target, verify where credentials will be stored, and recover when requests reach the wrong environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Operate on production and staging with explicit targets
• Verify the destination before saving credentials
• Investigate unexpected NOT_FOUND errors

Set up Python projects and manage packages, isolated environments, and Python versions with uv. Includes migration guidance and lockfiles that record dependency versions, plus workflows for consistent installations in CI and Docker.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a new Python project
• Migrating from pip or Poetry to uv
• Keeping dependency versions consistent across environments

Make C# code testable when it directly uses static services such as time, files, or processes. It introduces existing abstractions or minimal wrappers, supplies dependency registration, and demonstrates tests with controlled substitutes for real resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Introducing TimeProvider for time-dependent tests
• Testing file operations with MockFileSystem
• Wrapping Environment, Console, or Process calls

Install and configure mirrord Operator for team use on Kubernetes. The skill covers licensing, access permissions, feature settings, internal registries, and offline deployments, with guidance for upgrades and troubleshooting across supported cluster platforms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install mirrord Operator for a development team
• Configure cloud authentication or offline licensing
• Enable preview environments and database branches

Create, edit, and check mirrord.json files that connect a local application to Kubernetes. The skill produces minimal configurations, validates their structure and allowed settings, and explains problems with environment variables, files, and network behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a configuration for connecting a local app to Kubernetes
• Find and fix errors in an existing mirrord.json
• Adjust environment variables and network behavior

Set up Python projects and manage packages, isolated environments, and Python versions with uv. Includes migration guidance and lockfiles that record dependency versions, plus workflows for consistent installations in CI and Docker.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up a new Python project
• Migrating from pip or Poetry to uv
• Keeping dependency versions consistent across environments

Build research workflows that regenerate results from raw data with a single command. Organize project files, configure workflow tools, manage software environments and data versions, and prepare replication packages for journal submission.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up folders for a new research project
• Automating analysis and figure generation
• Debugging results that differ across computers

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

Inspect and manage BB threads, environments, projects, and plugins through its command line interface. The skill guides agents to identify the correct targets, apply changes, and verify the resulting state.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check BB projects and environment status
• Manage skills and plugins
• Create or operate threads

Create and manage Boat cloud sandboxes, remote machines for development work, through API, CLI, or SSH. Configure repositories and secrets, prepare reusable templates, manage machine state, and verify coding agents inside the selected environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a cloud workspace for a coding agent
• Configure repositories and secrets
• Reuse prepared environments through templates

Diagnose unexpected Python package installation behavior by checking the interpreter uv actually uses, the pinned Python version, installed packages, and imports. Includes a recovery pattern for dependencies that require a newer Python version.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing unexpected uv sync behavior
• Checking why an installed package will not import
• Investigating skipped optional dependencies

Understand how Codex Rules adds project instructions and file-specific rules to agent context. Check supported rule locations, when rules are applied, and environment settings for modes, sources, and text limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking supported locations for rule files
• Understanding when file-specific rules are applied
• Configuring rule modes and text limits

Set up Earth2Studio with uv or pip using commands matched to your environment and planned models. The skill guides optional dependency selection, cache configuration, installation checks, and dependency troubleshooting while leaving package installation to the user.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install Earth2Studio in a new or existing Python project
• Identify optional packages for planned models
• Configure cache locations and download timeouts

Prepare an environment for evaluating speech recognition on clinical terms. Checks the API key and Python dependencies, then tests NVIDIA's hosted services by generating speech from one synthetic sentence and transcribing it before the next stage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a clinical speech recognition evaluation
• Checking API access from a fresh environment
• Testing speech synthesis and transcription together

Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbox compute, or secure multi-tenant execution. Also suited for AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs, dev environments running user-supplied code), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, or isolated security scanners. Also applicable when the workload needs long-lived sessions, a real port-listening server (gRPC, WebSocket, custom TCP protocols), state preserved across periods of inactivity (suspend/resume), container-level access (FUSE, eBPF, custom syscalls), or session-affine routing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure Apollo.io multi-environment setup. Use when setting up development, staging, and production environments, or managing multiple Apollo configurations. Trigger with phrases like "apollo environments", "apollo staging", "apollo dev prod", "apollo multi-tenant", "apollo env config".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure Claude API across dev, staging, and production environments with isolated keys, model routing, and spend controls per environment. Trigger with phrases like "anthropic environments", "claude multi-env", "anthropic staging setup", "claude dev vs prod config".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.