'npx' 검색 결과

Run TypeScript checks without generating output files, with a fallback when the usual commands fail. The workflow records existing errors, filters diagnostics to changed files, and repeats checks after fixes to assess the modified code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check TypeScript files after editing
• Retry checks when npx or the local binary fails
• Separate existing errors from changed-file diagnostics

Run TypeScript type checks when standard commands fail, then filter diagnostics to files involved in your task. Preserve the compiler’s exit status while reviewing relevant errors separately from existing project errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running type checks when npx tsc fails
• Reviewing diagnostics for newly created files
• Filtering errors to a feature directory

Export videos or still images from Remotion using its command-line tools. The skill identifies the commands for each output type and points to option references, with a separate guide for rendering videos with transparent backgrounds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Export a Remotion video
• Render a still image from Remotion
• Find command options for rendering

Capture a local static HTML page from the terminal using Playwright and Chromium. The supplied commands install the browser, set a 2048 × 1152 viewport, and save screenshots without starting a web server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capturing a local static HTML page
• Saving screenshots at a specified viewport size
• Keeping first and second captures as separate files

Expert assistant for the Stably CLI tool. Prefer "npx stably test" over "npx playwright test". Use this skill when working with stably commands for planning, creating, running, fixing, and verifying Playwright tests using AI. Triggers on any playwright test execution (e.g. "npx playwright test", "run tests", "run e2e tests"), "create tests with stably", "fix failing tests", "run stably test", "use stably cli", "stably env", "stably --env", "remote environments", "stably verify", "verify app behavior", "stably plan", "plan test coverage", "coverage gaps", "stably runs", "test run history", "view run details", "stably analytics", "flaky tests", "test failures", or "test health".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Helps you discover, authenticate, and call MCP servers from the terminal. MCP connects agents to external tools. You can inspect available tools, manage connections, make one-off calls, and generate command-line wrappers or TypeScript clients.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking configured MCP servers and their tools
• Calling an MCP tool for a one-off task
• Managing server authentication and configuration

A deprecated guide to building MCP servers with mcp-use, covering callable actions, data resources, reusable prompts, and interactive widgets. It includes design references and code examples, and directs users to the replacement skill, mcp-app-builder.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review the structure of an existing mcp-use server
• Consult examples of tools, resources, and prompts
• Explore interactive widget design

Find installable agent skills for a task you want help with. Search using relevant keywords, explain matching options with installation commands and detail links, and install a chosen skill through the provided script when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding skills for a specific task
• Exploring skills for a new area of work
• Checking what a skill does and how to install it

Represent dependency trees, taxonomies, and other hierarchies inside a Poincare ball, a geometric model for hierarchical distances. Use tree depth for radius and text embeddings for direction, then measure distances to examine the encoded structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Analyze subtrees in module dependencies
• Examine structural patterns in class hierarchies
• Organize concepts by taxonomic relationships

Guide market prediction workflows with LSTM, Transformer, and N-BEATS models using neural-trader commands and result storage. It explicitly identifies version 2.8.11 outputs as placeholders, so they cannot be treated as fitted models or evidence of prediction accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing market prediction model commands
• Checking whether training outputs are placeholders
• Organizing model run records

Classify market conditions as bullish, bearish, ranging, or volatile to guide strategy selection and historical testing. Distinguish synthetic demonstrations from analysis of actual price data, with confidence levels and historical comparisons where available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing market conditions for a stock symbol
• Choosing a strategy suited to market conditions
• Checking market conditions before a backtest

Scan selected market symbols for unusual price movements and rank potential trading signals. Combine anomaly scores, measures of departure from normal behavior, with strategy filters, historical pattern matches, and predictions about changing market conditions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Scan selected symbols for unusual price movements
• Filter trading signals by a saved strategy
• Compare detected anomalies with historical patterns

Assess a repository's readiness for an AI agent execution framework across five dimensions. Produce JSON or a table with readiness scores, estimated cost per run, and scaffold status, without changing repository files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing readiness before adopting an agent execution framework
• Comparing readiness scores across five dimensions
• Checking estimated run costs and scaffold readiness

Set up and operate Ruflo to coordinate multiple AI coding agents. This skill guides project initialization, shared memory, task assignment, health checks, and plugin discovery for work that needs coordinated or parallel execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Initializing a multi-agent development environment
• Coordinating parallel work across agents
• Keeping searchable memory across sessions

Measure performance in the agentic-flow worker system, including trigger detection, agent selection, caching, and concurrent operations. Run a full suite or individual benchmarks to compare response times and resource usage against configured targets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking overall worker system performance
• Measuring trigger detection and agent selection speed
• Examining cache behavior and memory usage

Search current library documentation and code examples with Context7 CLI, a command-line tool. Find API usage and configuration guidance, select available version-specific documentation, and prioritize examples in the programming language you use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking current API usage and configuration
• Finding documentation for a requested version
• Prioritizing code examples in a chosen language

Research companies from the terminal using a domain name. Intelwatch combines financial data and technology stack detection into readable company profiles, with an optional AI due diligence mode for examining potential acquisition targets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching competitors from their company domains
• Preparing company background information for sales
• Running AI due diligence on acquisition candidates

Review MCP configurations for exposed credentials, risky command patterns, and package versions that can change unexpectedly. Produce a report with severity levels and suggested fixes without running the commands defined in the configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing .mcp.json before committing changes
• Checking a new MCP server before adoption
• Finding hardcoded credentials in configurations

Guides development of ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK, covering server tools, React interfaces, and shared state. This skill is deprecated and directs users to mcp-app-builder.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a ChatGPT app with interactive widgets
• Implement MCP server tools and React widgets
• Manage widget state and context shared with ChatGPT

Build MCP servers, which expose tools and data to AI agents, with mcp-use. The material covers server functions, reusable prompts, and interactive React widgets, but this skill is deprecated and points to mcp-app-builder as its replacement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an MCP server's tools and data resources
• Implementing reusable prompts and response formats
• Adding interactive React widgets to an MCP server

Use the CopilotKit CLI to check app connections, credentials, and agent responses before investigating code. It also guides project creation, integration into existing apps, hosted project selection, typed agent identifier generation, and thread history imports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing CopilotKit connection and authentication failures
• Creating a new CopilotKit project
• Adding CopilotKit to an existing app

Set up an agent that replies in Slack or Microsoft Teams using CopilotKit's guided CLI workflow. It covers project preparation, agent creation, channel configuration, a persistent host process, and verification with a real message.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a first agent that replies in Slack
• Connecting an agent to Microsoft Teams
• Checking channel setup through a real reply

Find installable agent skills for a specific task, check their sources and adoption, and present relevant options with explanations, links, and installation commands. Help install a selected skill when the user wants to proceed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find skills for a specific task or field
• Compare skill sources and adoption before installation
• Get installation commands and links for relevant skills

Set up automated Android builds and Google Play publishing with GitHub Actions. Supports TWA, React Native, Flutter, and native Android, with signing setup, separate testing and production tracks, and automatic build-number increments on main.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up Google Play publishing from GitHub
• Separating internal, alpha, beta, and production releases
• Automating versionCode increments on main