'json output' 검색 결과

Delegate a clearly scoped repository analysis or implementation task to Pi without an interactive session. The skill limits the working directory and available tools, then checks structured output for errors before using the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate a read-only code diagnosis to Pi
• Assign Pi an explicitly authorized implementation task
• Check Pi's structured output for model or tool failures

Build and debug Apify Actors, cloud programs for web scraping, automation, and data processing. Get guidance on language templates, input and output schemas, runtime code, local testing, and deployment, with practices for handling credentials and external data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an Actor for web scraping
• Defining Actor inputs and structured outputs
• Debugging an Actor with local test data

Improve LLM prompts using Arize production traces, evaluation results, and human feedback. Extract current instructions, identify recurring failures, revise the prompt, and compare experiments to measure changes in output quality and catch regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a prompt using failed production traces
• Fix responses that use the wrong output format
• Review unsupported answers in retrieval-based responses

Inspect existing LLM application records in Arize to investigate errors, slow operations, or behavior changes. Export traces, which group related operations, or individual operations and conversation sessions as JSON using the ax command-line tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate errors in an LLM application
• Review the inputs and outputs of a conversation
• Find slow operations in recorded traces

Provides prompt templates for coding, writing, analysis, and creative work. Helps define the AI's role, specify the desired output, add examples and constraints, and refine requests using a practical checklist.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a prompt for code review
• Create requests for clear technical documentation
• Prepare prompts for feature and naming ideas

Delegate coding, analysis, planning, and reviews from Codex to Claude Code through its command-line interface. Capture responses, resume sessions, or run independent tasks in parallel, then verify changed files and test results independently.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegating implementation or refactoring from Codex
• Getting another model's review of code changes
• Continuing delegated work across multiple sessions

Delegate coding, analysis, refactoring, or reviews from Claude Code to Codex CLI. The skill explains unattended execution, permission settings, output capture, parallel tasks, and independent checks of changed files and test results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate implementation while retaining planning responsibility
• Get a second opinion on code changes
• Split independent tasks across separate git worktrees

Create and improve prompts for agents, workflows, and AI evaluations. Reusable Handlebars templates, which insert data into a fixed structure, help generate consistent instructions from YAML or JSON inputs for use in other tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving prompts for recurring tasks
• Generating agent briefs from templates
• Creating AI evaluation and scoring prompts

Turn completed research, analysis, reports, or plans from the current session into a self-contained HTML artifact. A renderer controls layout, typography, and color, using structured content and a choice of two visual styles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn research findings into an HTML artifact
• Format a cost analysis with tables and callouts
• Present investigation findings as a designed document

Evaluate AI agent outputs with code checks and model-based grading. Run repeated trials to measure reliability, compare prompts or models, and check whether changes reduce quality, with saved transcripts for reviewing the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing two prompts on the same test cases
• Checking quality after agent configuration changes
• Turning real failures into repeatable evaluation cases

Run a YAML workflow, a file defining tasks and roles, using the AI in the current session. Resolve inputs and step dependencies, carry out each role's work, and save individual outputs and the final result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Running a workflow defined in a YAML file
• Reviewing a PRD with product manager and architect roles
• Creating a story with narratologist and psychologist roles

Use extracted document content, design evidence, and local assets in iPolloWork video, slide, website, or design templates. Apply confirmed requirements and verify that supplied assets actually appear in the output, without using models to reparse references.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create slides using facts and figures from reference documents
• Apply supported reference styles to a website template
• Reuse document assets in video scenes

Turn written descriptions into editable Excalidraw diagrams, including flowcharts, mind maps, system architecture, and database relationships. Generate a .excalidraw JSON file with connected shapes, labels, and a consistent sketch or clean visual style.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning business procedures into flowcharts
• Organizing ideas into mind maps
• Drawing cloud architecture with service icons

Prepare a finished research report for delivery by converting footnotes into numbered citations, merging sources with the same URL, and appending references. It also uses outline data to organize the summary and contents, while flagging unresolved citations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting report footnotes into numbered citations
• Merging duplicate sources and building a reference list
• Checking citations with missing source information

Create resumes, reports, papers, and other documents with LaTeX, a document typesetting system, then produce PDFs and page previews. Also convert document formats and handle PDF tasks such as merging files and filling forms.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating reports and papers with charts and citations
• Preparing resumes and cover letters
• Converting handwritten PDFs into LaTeX

Extract Markdown and metadata from PDFs, Office documents, emails, archives, and other formats using Apache Tika. Keep attachments and embedded items separate in structured output, detect parsing problems, and read selected portions without overwhelming the agent's context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting readable content from Office documents
• Reading emails together with their attachments
• Checking file types, languages, and metadata

Transcribe speech from audio or video into SRT, ASS, TXT, or JSON files. Adjust Chinese line breaks, create styled subtitles sized for the video, and optionally burn subtitles into a new video file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate subtitle files from recorded video
• Transcribe speech from audio recordings
• Burn subtitles into a video

Compress tool outputs, logs, and JSON before they enter the context window — structural compression via a deterministic stdlib script (schema + samples + stats instead of 300 raw rows), no API, no summarization loss. Use when asked shrink this tool output, my context is full of JSON, compress these logs before analysis, or stop wasting tokens on raw data. Produces the crushed artifact with its token math shown, the crush-or-keep decision rules, and the fetch-the-original escape hatch.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

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Synthesize the shortlist into a discussion-ready research idea brainstorm memo, writing `output/REPORT.md`, `output/APPENDIX.md`, and `output/REPORT.json`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

根据 model_route.json、数据计划和清洗数据，为数学建模论文生成结果证据契约和 q1/q2/q3 建模代码脚手架。Invoke when 需要把模型输出、评价指标、结构化结论、论文表格和当前赛题专用建模代码沉淀到 paper_output/results/、paper_output/tables/ 和 paper_output/code/modeling/，供 QA 与正文生成读取。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze C++ build performance using vcperf.exe and ETL traces. Use this skill when the user wants to profile a build, understand compile bottlenecks, identify expensive headers or templates, generate JSON analysis reports, or interpret vcperf output. Covers tracing workflows, the /jsonAnalysis flag, reading the resulting JSON schema, and actionable remediation strategies for each bottleneck category.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert FIRE analysis cards, Chinese knowledge notes, or project-note JSON into validated EPUB books with directory cards, chapter cards, keyword index cards, backlinks, and GitHub-shareable ebook assets. Use when Codex needs to teach or automate the path from `fire-analysis-card` outputs to `project-note-json-to-epub` style EPUB files, including sample JSON manuscripts and attached `.epub` deliverables.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Shape Laravel Feeds output for a consumer schema. Use when changing XML, JSON, JSON Lines, CSV, or RSS converter settings, root and metadata structure, XML directives, optional fields, or value transformers on an existing feed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.