'local' 검색 결과

Create and customize Qwen Code extensions using templates for context, commands, skills, agents, and MCP servers that connect external tools. Validate configuration and referenced files, review executable behavior, and prepare the extension for local testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a Qwen Code extension from a template
• Packaging custom commands and skills in an extension
• Adding MCP servers or other extension integrations

Run Playwright tests on BrowserStack to check behavior across browsers and devices. Configure cloud connections, compare results by browser, inspect session videos and logs, and set up a tunnel for testing local or restricted environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking browser compatibility with Playwright tests
• Configuring BrowserStack cloud test connections
• Investigating failures through session videos and logs

Update cmux interface text across supported languages and audit the results. The workflow identifies changed messages, prepares translation entries, and checks for missing translations, plural forms, and placeholders that insert values into text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Translating new interface and settings text
• Finding translation gaps after English edits
• Checking plural forms and placeholders

Create a local Codex plugin scaffold with its required configuration file and optional folders. Generate or update marketplace entries to define display order, installation availability, and authentication timing before testing or publishing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a new local Codex plugin
• Add optional folders to a plugin
• Register a plugin in a local marketplace

Prepare a local development environment for the Data Manager API with authentication and library installation guidance. It covers five programming languages and companion utilities for formatting, hashing, and encrypting user identifiers before ingestion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a local environment for the Data Manager API
• Installing client and identifier utility libraries
• Configuring local credentials and access scopes

Answer questions about videos from URLs or local files using timestamped visual and spoken evidence. Choose extracted frames and transcripts, or let Gemini view the full video with a configured API key.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing a video's visuals and speech
• Finding timestamps relevant to a question
• Checking a specific section of a long video

Prepare a local LangBot environment for development and browser testing. The skill covers service startup, shared connection settings, browser access, proxy troubleshooting, and reusable login profiles, with guidance for Linux and WSL environments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a local Linux or WSL development environment
• Start services and verify WebUI access
• Choose Computer Use or Playwright MCP for browser control

Manage mathematical proof work across separate runs, preserving sources, established results, and unresolved steps. Attempt and audit proofs locally, prepare focused manual GPT Pro handoffs when blocked, and check returned answers before producing a clearer final proof.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing proof work from a previous run
• Preparing a focused GPT Pro handoff
• Checking a returned proof against local sources

Handle network requests blocked by an OpenShell sandbox by checking its current access rules and proposing the smallest necessary change. Wait for approval and confirmation that the policy has reloaded before retrying the request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a policy_denied response
• Proposing narrowly scoped network access
• Retrying a request after policy approval and reload

Browse pages, click controls, fill fields, and inspect screenshots or console messages through Superset's browser pane. Use it to preview a running web app, check interface behavior, and work through browser tasks in a visible session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preview a locally running web app
• Capture screenshots of a page
• Inspect console errors

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

Guides experiments that inspect and modify internal values in PyTorch models to study their effects on predictions. Covers local analysis and remote experiments through NDIF for models too large for local GPUs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect internal values and attention patterns across layers
• Replace internal values to compare changes in predictions
• Run large-model experiments without local GPUs

Launch and troubleshoot the actual AO desktop app to inspect interface changes with local data. Supports reviewing combined pull request branches and diagnosing lingering Electron processes, port conflicts, and mismatches in the app’s preload bridge.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect interface changes in the actual AO desktop app
• Test with isolated or existing local AO data
• Review multiple pull request branches together

Evaluate Hugging Face Hub models using inspect-ai or lighteval, with local inference or a provider-backed option. Choose an inference engine, start with a small test, and switch engines when model compatibility requires it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run benchmark evaluations on a local GPU
• Choose an evaluation framework and inference engine
• Check a small sample before a full evaluation

Use Plannotator to review plans, code changes, documents, and running local apps in a browser. This reference covers returning feedback to agents, browsing past decisions, sharing guided code reviews, and leaving questions for later replies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing and approving plans or specifications
• Reviewing local code changes or pull requests
• Annotating documents or running local apps

Build dashboard panels in plain TypeScript with saved sizes and expanded or collapsed states. The pattern includes data fetching retries with increasing delays, loading indicators, error messages, and a shared base class for consistent panel behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Restoring panel sizes and expanded or collapsed states
• Adding automatic retries when data fetching fails
• Standardizing loading and error displays across panels

Build dashboard panels and sidebars in plain TypeScript. Provides patterns for panels that fetch data on a timer and sidebars updated by external callers, including retries, saved display settings, and styles inserted only once.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build dashboard panels that refresh on a timer
• Create sidebars updated with externally supplied data
• Save and restore panel size and collapsed state

Build dashboard panels in vanilla TypeScript with shared loading and error displays, saved panel state, and request handling. Examples show retries with increasing delays and CircuitBreaker integration to pause repeated failures and reuse cached results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building dashboard panels in vanilla TypeScript
• Adding caching and cooldowns to existing service calls
• Retrying requests with increasing delays

Build dashboard panels in plain TypeScript with automatic retries, saved panel settings, and clear error states. Keep panel-specific helper functions in the same file to make each component easier to understand and maintain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a panel that retries failed data requests
• Save panel dimensions and expanded or collapsed state
• Keep time and status formatting helpers beside panel code

Extract text from local PDF files with pdftotext or PyMuPDF, a Python library for reading PDFs. Convert individual files or batches into text files that an agent can read for summarization, analysis, or further data extraction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting local PDFs to text for summarization
• Extracting text from multiple PDFs in one batch
• Reading PDFs that appear as binary data in read_file

Handle one known local bug or testable bug hypothesis through reproduction, independent validation, repair, and regression checks. Produce a local patch commit and evidence reports that help reviewers judge whether the fix is ready.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate and repair one reported local bug
• Have separate agents verify reproduction and the fix
• Prepare evidence reports for patch review

Recreate a website from its URL as a locally runnable frontend app. Capture desktop and mobile layouts, assets, and interactive states, then compare the implementation with the source and complete visual and interaction quality checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recreating a website you own as a local app
• Reproducing desktop and mobile layouts
• Recreating menus, forms, and other interactions

Build development clients for Expo apps that use custom native code. Covers local and cloud builds, device installation, TestFlight distribution, and connecting installed clients to a local development server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test custom native modules on physical devices
• Distribute an iOS development build through TestFlight
• Build iOS or Android development clients locally

Package a finished local web project for GitHub with a tailored README and a preview from the running project. Audit files before pushing, publish compatible projects through GitHub Pages, and verify the repository and live demo.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share a local HTML, CSS, or JavaScript experiment
• Prepare a README and a preview from the running project
• Publish a compatible web project on GitHub Pages