'debug' 검색 결과

Debug local web and Electron apps through a persistent Playwright session in js_repl, an interactive JavaScript environment. Reuse browser connections while checking user interactions, visual states, screen sizes, and screenshots after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rechecking an interface after code changes
• Testing buttons and complete user flows
• Inspecting layouts at desktop and mobile widths

Turn a plan, specification, or concrete development request into implemented changes with local verification. Run it independently for a review and delivery handoff, or return implementation results to a calling workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a feature from a plan document
• Building changes from a specification
• Returning verified implementation results to another workflow

Review and simplify code while preserving its behavior. Check readability, reuse, and efficiency, assess whether tests and comments add value, and verify applied changes with the project's configured checks before review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning up code after implementation
• Improving readability before code review
• Auditing tests for practical value

Investigate errors, failing tests, or slow behavior and explain the causal chain with source file and line references. Deliver diagnosis alone or apply a verified fix, starting with a test that reproduces the defect.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace the cause of an error or failing test
• Investigate unexpectedly slow behavior
• Get a diagnosis before deciding on a fix

Connect OpenCode browser tools to a locally running OpenWork Electron app to inspect its UI, enter a task, and check the response. This skill supports exploration and debugging through CDP, Chrome's remote control protocol.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting browser tools to a local Electron development app
• Inspecting screen state during debugging
• Entering a task in the composer and running it

Build and maintain interfaces with shadcn/ui by finding, adding, and combining components. The skill uses project settings, component documentation, and change previews to guide styling, debugging, preset changes, and updates that preserve local edits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building settings pages and dashboards from existing components
• Fixing form and dialog composition issues
• Updating components while preserving local edits

Set up and troubleshoot Daytona sandbox environments, which provide isolated spaces for running applications. The skill covers CLI authentication, persistent desktop and server sandboxes, diagnostic logs, shared secrets storage, snapshot refreshes, and environment deletion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Troubleshooting Daytona authentication and organization selection
• Keeping an Electron or server sandbox available for debugging
• Preparing shared secrets storage for sandboxes

Find the right specialist guidance for building, editing, testing, or debugging n8n workflows through n8n-mcp. This entry skill explains available tools, connection requirements, credential handling, and checks to perform before activating a workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding the right skill for an n8n task
• Checking settings and connections before activation
• Investigating a workflow that behaves unexpectedly

Use CoinGecko API documentation to build cryptocurrency price trackers and market data integrations. The skill supports implementation and debugging for access to prices, market capitalization, trading volume, and historical data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a cryptocurrency price tracker
• Integrating market capitalization and trading volume data
• Exploring how to retrieve historical prices

Create, edit, and validate URDF files describing robot structure. Check links, joints, coordinate frames, units, mesh placement, and mass properties, then use CAD Viewer to inspect the model and review each movable joint.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a robot structure description
• Debug joint positions and motion axes
• Check mesh scale and placement

Create, update, run, and debug shell-based performance scenarios for the but CLI. It separates repository setup from the operation being measured, uses Hyperfine for timing, and guides focused validation and inspection of test output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a performance scenario for a but CLI operation
• Update repository fixtures for an existing benchmark
• Run a short benchmark for one scenario

Turn plain-language requests into Cloud Logging queries for Google Cloud. Generate service-specific filters to find errors, investigate issues, or review audit logs using LQL, the language used to search these logs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding recent error logs
• Filtering logs for a specific Google Cloud service
• Investigating who changed or accessed a resource

Build and review Kortix replies that display cards, comparisons, charts, maps, and tabs. The skill guides structured UI blocks in OpenUI Lang, their web and mobile rendering, validation, Markdown conversion, and compatibility checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing visual components for Kortix replies
• Implementing web and mobile renderers
• Debugging invalid or undisplayable UI blocks

Helps AI agents recover from repeated failures by reviewing previous attempts, checking original sources, testing different hypotheses, and verifying results. It combines structured troubleshooting with performance review rhetoric modeled on large technology companies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Breaking out of repeated failed attempts
• Investigating configuration or deployment failures
• Verifying an agent's claimed completion

Plan and troubleshoot large language and vision model training and inference. This guide uses hardware measurements to identify bottlenecks, address memory shortages and unstable training, and improve checkpointing, recovery, and performance across multiple GPUs and machines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing slow training and GPU memory shortages
• Investigating loss spikes and invalid numerical values
• Debugging communication hangs across GPUs and machines

Operate Chrome or Brave using signed-in browser sessions to verify deployed pages, reproduce bugs, inspect page structure, and examine errors or network traffic. An optional macOS bridge extends control to native applications and operating system input.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify page appearance after deployment
• Reproduce blank pages and disappearing content
• Inspect console errors and network traffic

Helps create, explain, debug, and optimize regular expressions for finding, extracting, or replacing text. Accounts for differences between programming languages and checks matching and nonmatching examples to identify overly broad patterns and potential performance problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create patterns for extracting text
• Explain unfamiliar regular expressions
• Fix unwanted matches and missed matches

Create and debug formulas for Excel and Google Sheets, including formulas that return multiple results. Get placement instructions, worked examples, checks for blanks and duplicates, and equivalent formulas when moving between platforms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create formulas from sample data and expected results
• Fix errors caused by blanks or duplicate values
• Convert formulas between Excel and Google Sheets

Review lessons from difficult tasks, debugging, and failed attempts, then turn them into reusable guidance. Update relevant skill instructions or shared memory so future tasks can benefit from what was learned.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preserving lessons learned from debugging
• Improving skill instructions after repeated failed attempts
• Turning mistaken assumptions into reusable guidance

Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Evaluating answers against test datasets
• Monitoring production latency and costs

Guides fine-tuning and evaluation of OpenVLA-OFT robot models that turn images and language into actions. Covers LIBERO simulation, ALOHA deployment, LoRA adaptation that updates a small set of parameters, and troubleshooting action scaling or configuration mismatches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Evaluate pretrained models in LIBERO
• Fine-tune robot action models with LoRA
• Deploy server-client inference for ALOHA

Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Guides logging for PyTorch and TensorFlow, including weight distributions and performance profiling to investigate training problems and processing bottlenecks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Monitoring training loss and accuracy
• Comparing experiments with different training settings
• Inspecting weight and gradient distributions

Build and debug Shopify themes, custom apps, and storefronts connected through APIs. The skill covers Liquid templates, app authentication, checkout extensions, performance improvements, and the configuration, testing, and deployment steps needed for implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Customizing product pages and collection filters
• Building custom Shopify apps
• Creating independent storefronts with the Storefront API

Build MCP servers and clients that connect AI systems to external tools and data. The skill defines validated inputs, implements tool and resource handlers, configures communication methods, and checks protocol behavior with the MCP Inspector.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Expose external tools and data to AI systems through MCP
• Start an MCP project in TypeScript or Python
• Validate inputs and investigate protocol errors