'errors' 검색 결과

Investigate LLM application failures with Phoenix CLI by reviewing execution records, recording observations, and grouping mistakes into counted categories. Inspect datasets and experiments to identify which failure types deserve evaluation tests first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Grouping observed mistakes into failure categories
• Choosing which evaluation tests to build first

Create an agent user in Microsoft Entra ID so an AI agent can access services requiring a user identity. Covers validating the parent agent identity, creating the account, assigning a manager and licenses, and troubleshooting setup errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a user identity linked to an existing agent identity
• Prepare an agent account for a mailbox and Teams
• Assign a manager for organizational chart visibility

Build and troubleshoot C#/.NET MCP servers that expose tools and information to AI agents. Guidance targets the official 2.x SDK and covers transport setup, authentication, interactive features, basic clients, and migration issues caused by changed defaults.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a C#/.NET MCP server
• Add tools, prompts, and resources
• Diagnose STDIO and HTTP connection errors

Control and inspect a live Chrome browser through Chrome DevTools MCP. Automate page interactions, capture screenshots, inspect errors and network requests, and record performance data to investigate slow loading and unexpected layout changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Automating navigation and form entry
• Capturing page screenshots and text snapshots
• Investigating console errors and failed requests

Make agent replies and progress reports concise while preserving exact code, commands, numbers, and meaning. The guidance puts conclusions first, removes filler, and uses complete wording whenever brevity would make warnings or instructions unclear.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Shortening agent replies
• Making progress reports easier to scan
• Reporting errors with a clear next step

Read and summarize local text files, including notes, configuration files, CSV tables, logs, and source code. Extract relevant sections, explain key fields or columns, and review recent errors without loading an entire large file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarize text and Markdown files
• Inspect important fields in JSON or YAML
• Review CSV or TSV headers and sample rows

Read and summarize local text files, including configuration files, source code, tables, and logs. Inspect key fields or columns, extract relevant passages, and review recent errors or warnings without displaying an entire large file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing local notes and text documents
• Inspecting key fields in JSON or YAML files
• Checking CSV or TSV headers and column contents

Prepare a local Terraform environment by checking installation, choosing a macOS or Linux installation method, initializing configuration folders, and validating files. It also addresses plugin download failures and common initialization errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install Terraform for the first time
• Fix a missing terraform command
• Initialize and validate a folder containing .tf files

Develop HTML and JavaScript web games through small changes and repeated Playwright tests, which automate browser actions. Inspect gameplay screenshots, text representations of game state, and console errors to check controls, outcomes, and newly added features.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding features to a browser game
• Testing movement, jumping, and attacks
• Checking score changes and win or lose transitions

Set up reinforcement learning, which trains models using rewards, with verl. Follow workflows for preparing data, configuring GRPO or PPO training, scaling across GPUs, and addressing memory errors or unstable training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Training a math reasoning model with GRPO
• Configuring PPO training with a critic model
• Scaling large model training across multiple nodes

Set up users, organizations, roles, and dataset sharing in cognee. The skill explains SDK and HTTP authentication, helps investigate permission errors or missing datasets, and clarifies how access settings separate each user’s stored data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Share datasets with specific users or roles
• Organize data access across teams and organizations
• Configure SDK identities and HTTP authentication

Import text, files, URLs, repositories, and database content into cognee memory. This skill explains input handling, storage organization, extraction options, and cost estimates, while helping diagnose unsupported arguments and document update errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Importing documents, URLs, or database content
• Organizing stored information by project or topic
• Estimating tokens and cost before importing

Analyze large logs, test results, API responses, and files outside the conversation, then return focused findings. It guides agents to save, process, index, and search outputs while limiting how much raw data enters their working context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting errors from large logs
• Summarizing test failures and build warnings
• Inspecting JSON and CSV data

Check YAML frontmatter, the metadata at the top of knowledge pages, for formatting and identity errors. Explain why gbrain holds files during sync, preview proposed changes, and repair supported problems after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit metadata across knowledge pages
• Investigate files held during sync
• Preview and repair formatting errors

Use external APIs and GitHub's gh command through Iron Proxy while keeping real credentials out of the client. The skill guides account setup through the operator console and helps investigate blocked requests using observed errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect an external API account through the operator console
• Use gh with credentials managed by Iron Proxy
• Investigate requests returning 401 or 403 errors

Write unit tests for FastGPT code, covering normal behavior, edge cases, and errors. It guides test placement, limits mocks that replace real dependencies, and checks TypeScript errors and coverage, the share of code exercised by tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding unit tests for individual functions
• Testing edge cases and error handling
• Testing functions that make API requests

Audit, create, and fix structured data, the labels that help search systems understand web pages. Get JSON-LD code for articles, products, and other page types, plus validation findings and guidance on where to place it.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding structured data to articles or product pages
• Investigating structured data errors in Search Console
• Auditing existing markup and prioritizing fixes

Inspect production errors recorded in Sentry using read-only queries. The skill summarizes recent issues, retrieves details of individual error occurrences, and accesses AI-generated cause analysis or fix plans through the command-line tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing unresolved production issues from the last 24 hours
• Inspecting an issue by its short ID
• Checking individual error occurrences and release details

Develop TypeScript services and workflows with Effect v4 by checking its source and existing project examples. Guides data schemas, typed errors, explicit dependencies, and tests that follow the project's established patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing services with Effect v4
• Defining data schemas and typed errors
• Organizing dependencies and HTTP handlers

Organize multi-step agent tasks with persistent Markdown files for plans, findings, and progress. Records decisions, errors, and test results, then reloads the selected task's planning files to resume work after an interruption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning research that involves many tool calls
• Resuming work after an interruption
• Recording errors and test results

Organize multi-step agent tasks with persistent Markdown files for plans, findings, and progress. Records decisions, errors, and test results, then reloads the selected task's planning files to resume work after an interruption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning research that involves many tool calls
• Resuming work after an interruption
• Recording errors and test results

Reproduce model connection failures and interrupted responses in the desktop app using a local fault server and test providers. Check error messages and retry behavior for refused connections, DNS failures, HTTP errors, stalled requests, and cut streams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking error messages for model connection failures
• Testing responses to rate limits and server errors
• Reproducing stalled requests and interrupted replies

Reproduce chat errors, retries, parallel tool calls, and app creation in a running desktop application. Check how messages and cards appear, including interrupted replies, grouped steps, and error details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check error messages and retry progress
• Inspect text retained after an interrupted reply
• Review grouped parallel tool calls

Write Python for n8n Code nodes to transform, filter, aggregate, and validate workflow data. Get guidance on reading input items, returning the required JSON structure, using standard library modules, and avoiding common errors within n8n's Python execution modes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transforming and filtering data in n8n with Python
• Calculating totals and basic statistics
• Extracting and validating text with regular expressions