'query run' 검색 결과

언어별 자료에 따라 Claude 앱을 구현하고 유지보수합니다. 공식 SDK 호출, 도구 연동, 모델 이전, 비용 검토와 평가 절차 마련을 다룹니다.

• 앱에 Claude API 연동
• 맞춤 도구를 쓰는 에이전트 구현
• 기존 Claude 연동의 모델 이전

Browse and search OmniRoute's AI model catalog from the command line. Filter by provider or capability, check model aliases, validate compatible models before adding them, and maintain manually registered model details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding AI models by provider or capability
• Checking model aliases and name variants
• Validating a model before adding it

Evaluate how Chatbox answers questions about large attachments using synthetic and real documents. Check whether the model retrieves file content when needed, skips retrieval for unrelated requests, and investigate failures through the actual application flow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify retrieval for questions about large attachments
• Test file-related questions without explicit search requests
• Check that unrelated requests skip file retrieval

Prepare an AionUi release by checking AionCore assets, updating versions, and generating a changelog. Run quality checks, create a pull request with automatic merging enabled, then tag the merged release to trigger its build.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Releasing the next AionUi patch version
• Releasing with explicitly chosen UI and Core versions
• Preparing a frontend-only release

Set up a local web search server using Bright Data SERP API and unfancy-search. Retrieve results from multiple engines, optionally expand queries with AI, and receive combined rankings with duplicates removed and results grouped by domain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding web search to a Claude Code agent
• Researching a topic through multiple related queries
• Filtering searches by region or domain

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

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

Operate Screenpipe from the terminal to set up continuous recording, check capture health, and search local history. Manage Pipes, scheduled AI automations, and configure and test connections to external services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up continuous screen and audio recording
• Diagnose recording and storage issues
• Search recorded screen and audio history

Search team activity in Screenpipe Enterprise and review records by device and time. Preview, deploy, and schedule managed Pipes, which are AI automations, with explicit targets and checks before changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find team activity related to a topic
• Review a teammate's activity timeline
• Preview and deploy a managed Pipe

Create custom Google Analytics reports with user counts, page views, and breakdowns by city or date. The skill covers API setup, authentication, and checking whether selected measurements and grouping fields can be used together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Report active users by city and date
• Automate recurring analytics reports
• Check which report fields work together

Verify Kortix changes with focused tests and real inputs and outputs. This skill guides test placement, API and CLI workflows, browser checks, database verification, and reporting of results, including skipped cases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify a bug fix with focused tests
• Check API and CLI behavior through real inputs and outputs
• Test database query conditions

Import SaaS data into DuckDB using dlt, a data loading tool, then generate a Wren project with table definitions and relationships. Verify the setup with real SQL queries, or start from an existing DuckDB file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Importing HubSpot or Stripe data for SQL analysis
• Creating a Wren project from an existing dlt DuckDB file
• Generating table definitions and parent-child relationships

Search and aggregate Datadog logs through the Composio CLI. Filter by service, environment, and time range, follow requests across services, and export structured JSON for incident analysis or scheduled daily digests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate sudden increases in errors or latency
• Compare logs around a deployment
• Follow one request across multiple services

Inspect CARLA driving simulation logs without replaying them. Get recording details, find collisions by participant category, and identify vehicles that barely moved, with times and object IDs to locate moments worth reviewing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check a recording's map, duration, frames, and participants
• Find collisions between vehicles and pedestrians
• Identify vehicles that remained stuck

Analyze and tune PostgreSQL databases using query execution plans, which show how queries run. This skill guides index design, JSONB searches, replication setup, maintenance, and monitoring, with checks to compare behavior before and after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate slow queries with EXPLAIN
• Design indexes for JSONB searches
• Configure replication and monitor lag

Manage parallel tracks of milestone work with commands to create, list, switch, inspect, archive, and resume them. View each track’s phase status or a combined progress summary in a readable format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a separate workstream for a milestone
• Switch the active workstream
• Review phase status and progress across workstreams

Analyze an existing codebase with parallel agents and produce seven structured documents covering technology, integrations, architecture, conventions, testing, and concerns. Use the results to understand an unfamiliar project or prepare for major changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Understand an existing project before taking it over
• Document the current codebase before major refactoring
• Refresh codebase documentation after significant changes

Compare saved privacy reviews or proposed data uses with current privacy commitments. Identify missing or conflicting disclosures, distinguish required from advisable updates, and draft suggested wording with recommendations on when to make changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether a proposed data use is covered by the privacy policy
• Review saved privacy assessments for policy gaps
• Compare consent banners and app store labels with the policy

Compare internal AI policies with saved assessments, vendor reviews, and proposed uses. Identify missing or conflicting commitments, draft policy wording, and suggest when updates and use case records need attention.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing policy gaps against approved AI practices
• Checking a proposed AI use before launch
• Drafting policy updates with clear priorities

Check kanban boards, which organize tasks into columns, and retrieve task lists filtered by status, assistant, or board. Use the returned data to see task counts and review work in progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing board columns and task counts
• Finding tasks that are running or waiting
• Checking tasks assigned to a specific assistant

Query MySQL databases to summarize sales, user behavior, and business metrics. The skill checks available tables, runs read-only queries, and presents results as Markdown tables with explanations of key figures, changes, and conclusions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing sales data
• Analyzing user behavior
• Reporting business metrics

Use Quicknode to connect applications to blockchains, retrieve wallet and asset data, and monitor activity. Covers event notifications, live data streams, historical backfills, and SQL queries, with guidance for choosing suitable services and access methods.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connecting an app to blockchain data
• Setting up transaction and event notifications
• Recovering missing historical stream data

Access TeamAI workflows for sharing skills, rules, documents, and environment settings across AI coding tools. This entry skill loads version-matched guidance for team setup, synchronization, codebase knowledge, and sharing lessons from a session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start sharing AI settings across a team
• Sync team skills across AI coding tools
• Build or search knowledge about codebase architecture

Investigate slow PostgreSQL and MySQL queries using execution plans, which show how queries run, and performance measurements. Develop index changes, SQL rewrites, and configuration adjustments, then validate their effects with measurements and monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating the causes of slow queries
• Reviewing database index design
• Tuning PostgreSQL or MySQL configuration