'structured output' 검색 결과

Manage n8n automation workflows from the command line. Create, update, and activate workflows, inspect or retry executions, and manage credentials, variables, and tags through n8n's public API with structured JSON output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create or update an n8n workflow
• Activate or deactivate an automation workflow
• Inspect execution history and retry a run

Build a marketing plan matched to a company's budget, team, and stage. Organize acquisition, first use, retention, referrals, and revenue into a 90-day roadmap and 12-month outlook, with owners, metrics, and tools in Notion-ready Markdown.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a marketing roadmap for founders or investors
• Turn audit findings into a prioritized action plan
• Combine scattered marketing work into one plan

Research competitors from their website URLs and turn findings into consistent Markdown profiles. Compare features, pricing, positioning, and available SEO data, with dated sources and a summary that brings multiple competitors together.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare competitors' features and pricing
• Research competitors' messaging and search visibility
• Create sourced competitor profiles for the team

Extract text and its page coordinates locally from PDFs, Office documents, and images. Use OCR to read scans, export structured JSON or Markdown, process document folders, and render pages as PNG images for agents that analyze visual content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting text from scanned PDFs and images
• Preparing document text and coordinates for retrieval-based AI answers
• Batch-processing folders of research papers

Build draft structures and aggregate tables for clinical case, trial, diagnostic, and safety reports from verified synthetic, de-identified, or aggregate data. Local checks flag structural and consistency issues; qualified professional review remains required.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a structured case-report draft
• Check trial-report sections for missing items
• Format aggregate adverse-event tables

Run OpenCode without an interactive interface to analyze a repository or perform requested coding work. Collect its structured output, summarize results and tool errors, or use its response to compare coding agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a failing test without edits
• Delegating project analysis to OpenCode
• Requesting explicitly authorized code changes

Delegate repository analysis and coding tasks to GitHub Copilot CLI without an interactive session. The skill reads structured output, checks errors, and summarizes the final result along with any denied tool requests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Ask Copilot to explain a failing test
• Delegate repository analysis to Copilot
• Request code changes with narrowly scoped tool permissions

Create a Go server for MCP, a protocol that connects AI agents to tools and data. Generate a structured project using the official SDK, with typed tools, configuration, error handling, tests, and setup documentation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a Go MCP server project
• Implement tools with typed inputs and outputs
• Add input validation and cancellation handling

Check factual claims in AI responses by extracting statements, searching for supporting or conflicting sources, and reviewing common error patterns. Receive a linked report that highlights uncertainties and helps people verify the evidence themselves.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check statistics and citations in an AI-generated report
• Add ongoing factual checks to a conversation
• Review legal explanations against linked sources

Turn an existing GitHub Actions workflow into a structured specification for maintenance and AI reference. Document its purpose, triggers, job dependencies, inputs, outputs, permissions, and failure handling, focusing on expected behavior rather than implementation details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Documenting an existing GitHub Actions workflow
• Reviewing job order and dependencies
• Organizing permissions and failure handling

Generate commit messages from git diffs, staged changes, or written descriptions. Explain the reason and problem behind each change using Conventional Commits, a structured message format, and suggest separate messages for unrelated changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a commit message from staged changes
• Recording why a bug fix was needed
• Splitting unrelated changes into separate commit messages

Interpret economic indicators and central bank policy across China, the United States, and Europe. Identify the economic cycle stage and produce a structured assessment of whether to increase, maintain, or reduce allocations to major asset classes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess the economic cycle using growth and inflation data
• Interpret policy signals from the Fed, PBOC, and ECB
• Review allocation directions across major asset classes

Compose compact, structured prompts for coding, debugging, review, and research with Codex or GPT-5.4. This internal skill defines task scope, completion criteria, output format, verification steps, and evidence requirements using consistent XML tags.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define implementation scope and completion criteria
• Include verification steps in debugging requests
• Specify evidence requirements for code reviews

Review all changes in a pull request or branch against its base branch. Use a knowledge graph, a map of code relationships, to report affected files and functions, test coverage, API compatibility issues, and recommended actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing all commits in a pull request
• Checking a branch's changes against its base
• Finding callers missed by public API changes

Create or improve AI prompts through a guided conversation about goals, roles, examples, and output formats. Receive a complete, reusable prompt with an explanation of its design, including behavioral boundaries for public-facing AI roles when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving an existing AI prompt
• Designing prompts for product naming
• Defining boundaries for a customer service bot

Delegate code exploration, feature development, bug fixes, and reviews to Qwen Code through acpx, a command-line client for communicating with agents. Use ongoing sessions, separate task sessions, and structured output to coordinate development work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Asking questions about an unfamiliar codebase
• Creating projects and adding features
• Investigating bugs and failing tests

Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit existing articles for evidence and credibility gaps
• Revise article structure and references for AI answers
• Record citations observed across AI services

Draft freelance contracts, project proposals, and confidentiality agreements with clauses tailored to US, EU, UK, or DACH contexts. Organize scope, payments, ownership, and deliverables in Markdown, with instructions for conversion to Word.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a contract for a new freelance engagement
• Preparing a client proposal with budget and timeline
• Defining deliverables and acceptance criteria

Discover MCP servers and inspect their available tools from the command line, then invoke operations with typed arguments or JSON. Use local files, remote endpoints, or configured server names, and return structured output for scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding MCP servers configured in editors or a project
• Inspecting available tools and input definitions
• Calling tools on local or remote MCP servers

Turn meeting transcripts, rough notes, or long meeting chats into structured notes with decisions, open questions, risks, and action items. Include task owners and deadlines, with an optional short summary for Slack or email.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn meeting transcripts into shareable notes
• Organize decisions and unresolved questions
• Extract tasks with owners and deadlines

Write and edit Quarkdown documents, an extended form of Markdown, to produce reports, articles, slides, and other formatted content. Add layouts, math, diagrams, and themes, then compile the source to check for errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a report with math and diagrams
• Turning a plan into shareable slides
• Writing paged articles or books

Reviews recent changes, CI failures, open issues, pull requests, and conversations to produce a prioritized findings report. It separates urgent work from monitoring and noise, suggests next actions, and records facts for the next automated review cycle.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing recent CI and test failures
• Reviewing blocked pull requests and unanswered issues
• Preparing next actions for an automated work cycle

Review recent changes, automated test failures, issues, and conversations to prioritize engineering work. Produce a concise report separating urgent actions, watch items, noise, and state updates, with suggested next steps and rough effort estimates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing recent CI and test failures
• Sorting team issues and conversation findings
• Separating urgent work from items to monitor

Build and maintain TypeScript MCP servers and MCP Apps with mcp-use, giving AI assistants tools and interactive views. Guides implementation, authentication, debugging, migration, review, and verification against the package version installed in the project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an MCP server with tools and prompts
• Add interactive React views to an MCP App
• Migrate existing code to the installed mcp-use version