'json' 검색 결과

Set up LLM serving with structured responses, including JSON and outputs restricted to specified patterns. Covers reusing shared prompt calculations, tool calling, and multi-turn conversations through SGLang, with examples for server setup and application integration.

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• Extract information into JSON with a defined schema
• Build agents that call tools
• Reuse shared prompts across chat requests

Create a Google Model Armor template for checking AI prompts and responses. Specify a Google Cloud project, location, and template ID, then use a preset or provide custom settings in JSON.

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• Creating a template with the jailbreak preset
• Defining template settings in JSON
• Preparing a template for prompt and response checks

Check a user prompt through an existing Google Model Armor template. Supply the text directly, submit a JSON request, or pass text through standard input, which lets the command read piped content.

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• Checking an AI prompt against an existing template
• Passing prompt text from another command
• Submitting a prompt check as a JSON request

Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.

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• Building a chatbot with conversation memory
• Connecting external tools to an AI agent
• Returning data in a defined JSON format

Turn ARIS research reports in Markdown or JSON into a single HTML file for reading. Choose a report or dashboard layout, retain source version details, and optionally review whether the conversion preserves content and structure.

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• Reading long research reports in a browser
• Viewing review logs alongside their JSON state
• Creating a research-wiki dashboard view

Turn structured JSON into editable SVG diagrams for system architectures, workflows, and pipelines. Specify positions, connections, and groups precisely, reproduce the same output under fixed rendering conditions, and convert figures to PDF for papers.

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• Creating architecture diagrams for technical papers
• Illustrating workflows and processing pipelines
• Adjusting diagram layouts through JSON specifications

Create new PPTX presentations, DOCX documents, XLSX spreadsheets, and PDF reports with PaperJSX. Describe content and layout in structured JSON, then run a Node.js script to generate the file and check that it is not empty.

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• Creating presentation slides as PPTX files
• Generating reports as DOCX documents
• Creating XLSX spreadsheets with charts

Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.

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• Generate JSON with a defined structure
• Constrain date, email, and identifier formats
• Classify text using a fixed set of labels

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.

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

Continue file reading and data processing when read_file or execute_code_sandbox fails. The skill uses run_shell with short Python commands or multiline scripts to inspect files, parse data, and save transformed output.

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• Reading accessible files after read_file errors
• Inspecting JSON settings through Python
• Checking CSV rows after sandbox execution fails

Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.

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• Building a chatbot with conversation memory
• Connecting external tools to an AI agent
• Returning data in a defined JSON format

Write and troubleshoot n8n expressions, the formulas that pass and transform data between workflow steps. Correct field references, read webhook inputs, format dates and text, and query nested JSON while checking for silently missing results.

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• Include webhook form data in Slack messages
• Fix expressions that return null or literal text
• Extract and total values from nested JSON

Review custom dotnet new templates before publishing. Check required fields, parameter types and defaults, command name conflicts, and constraints, then receive findings grouped by severity with concrete fixes for errors and warnings.

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• Checking template.json before publishing
• Investigating templates missing after installation
• Reviewing parameter types and default values

Convert SKILL.md files into SSL JSON, a structured format describing invocation conditions, workflow stages, and individual actions. Receive a validation report covering format errors, invalid references, and rejected outputs.

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• Converting skill documents into structured JSON
• Reviewing skill stages and individual actions
• Checking workflow references and transitions

Investigate CSRF, where a page causes unwanted actions through a signed-in user's session. The skill covers tokens, cookie settings, JSON APIs, and account linking, with guidance for browser-based demonstrations and assessing account or financial impact.

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• Review CSRF protection for email changes and payments
• Check whether JSON APIs accept cross-origin form submissions
• Inspect external account linking for unwanted associations

AI 에이전트와 외부 도구를 잇는 MCP 서버를 명령으로 관리합니다. 서버 목록, 도구 입출력 규격, 연결 설정과 인증을 확인하고 도구를 호출합니다.

• MCP 도구와 인수 규격을 확인합니다
• MCP 연결을 설정하고 인증합니다
• JSON 인수로 도구를 호출합니다

공통 템플릿과 거래 상대별 JSON으로 역할에 맞는 조항을 담은 기본 계약 검토용 초안을 생성합니다. 계약 부속서에 안건을 추가하는 절차도 정리합니다.

• 여러 거래 상대의 계약 초안 통일
• 구매자·공급자·상호 소개 조항 선택
• 검토용 Markdown과 DOCX 생성

Hyperliquid의 시장 데이터와 지갑 잔액·거래 내역을 조회합니다. 손익과 시장 흐름을 함께 살펴 거래를 복기하고, 분석용 JSON을 내보냅니다.

• 시장 가격·펀딩비·호가창 확인
• 지갑 포지션과 현물 잔액 조회
• 수수료와 시장 흐름을 바탕으로 거래 복기

Use the command line to send tasks to OmniRoute's A2A server, which supports communication between agents. Inspect execution history and logs, monitor or cancel tasks, and interactively test the JSON-RPC 2.0 communication protocol.

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• Check server status and available skills
• Invoke a skill with JSON input
• Inspect task history and logs

Create a fixed JSON evaluation suite from a repository's existing tests and check its structure for errors. Use the suite with harness-evolve to compare variants against consistent tasks, independently of the repository's normal test command.

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• Create a fixed evaluation suite from existing tests
• Check evaluation suite structure in CI
• Compare variants across commits using consistent tasks

Compare two saved cost-summary JSON snapshots to identify changes in total spending, sessions, and model costs. Set limits on spending increases or token growth to flag cost regressions during pull request checks.

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• Comparing spending before and after a pull request
• Finding models responsible for cost changes
• Failing checks when spending exceeds set limits

Audit HTML page size and identify oversized embedded JSON, SVGs, images, or scripts. Use the findings to plan lighter pages and investigate whether document size could explain content missing from Google's search index.

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• Investigating content missing from Google's index
• Reviewing large JSON payloads embedded in HTML
• Checking HTML size across an e-commerce site

Prepare WaveTone 2.61 audio analysis workflows by inspecting audio metadata and recording tempo, labels, and intended settings in a JSON project manifest. Launch the Windows application to perform analysis and save its outputs.

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• Inspect audio metadata before opening WaveTone
• Record tempo, meter, and section labels
• Prepare analysis settings in a JSON manifest

Explore recommended papers in Paperzilla projects, search project feeds, and summarize available paper text. The skill also helps explain research relevance, record recommendation feedback, export records as JSON, and retrieve personal feed URLs.

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• Review recent paper recommendations for a research project
• Summarize a paper and explain its relevance to your research
• Export papers or recommendations as JSON