'structured' 검색 결과

Turn a meeting transcript into structured notes and one Linear ticket per action item. Assign owners from the discussion or the team’s ownership map, and flag unclear assignments in unassigned tickets for follow-up.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn meeting transcripts into structured notes
• Create Linear tickets for meeting action items
• Assign tasks using the team’s ownership map

Guides AI agents through repeated failures, passive behavior, and incomplete work using structured investigation, alternative approaches, and evidence from actual checks. It pairs these practices with forceful coaching modeled on corporate performance reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Breaking out of repeated failed approaches
• Requiring evidence before accepting completion
• Checking related issues after a fix

Detect and check structured data, machine-readable descriptions of page content, and generate suitable Schema.org JSON-LD snippets. Get a report of missing fields, syntax errors, and markup issues, plus code prepared for implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check existing structured data for errors
• Generate markup for products, articles, or businesses
• Review deprecated schema types

Investigate a specific OpenShell problem or feature need and create a structured GitHub issue. Record observed behavior, technical findings, alternatives, and missing evidence so a human can decide what to accept and pursue.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate an OpenShell bug and document reproduction steps
• Compare alternatives for a specific feature need
• Prepare a structured issue for human review

Build LLM serving workflows that produce JSON or other required formats. The skill covers reusing computation for shared prompts, tool calls, and ongoing conversations, with examples for server setup and structured output.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting article details into JSON
• Building agents that call tools
• Reusing shared prompts across conversations

Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organize a paper and its code into a research package
• Link research claims to tables, figures, and verification plans
• Preserve failed approaches and research decisions

Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting company or profile details into JSON
• Classifying text using a fixed set of labels
• Generating text that matches a specified pattern

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Turn a structured change list into a categorized release notes draft for users. Follow the project's writing style, highlight breaking changes and security items, and include upgrade guidance where evident, leaving publication to human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting release notes from a structured change list
• Organizing features and bug fixes for users
• Highlighting breaking changes and security updates

Turn unstructured clinical encounter summaries into SOAP notes, a four-part format for medical records. Organize symptoms and findings, include diagnoses with ICD-10 classification codes, and document treatment steps, follow-up timing, and reasons to return for care.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting unstructured clinical summaries into SOAP notes
• Documenting diagnoses with ICD-10 codes and supporting reasoning
• Organizing treatment details, dosages, and timelines

Builds and improves C/C++ and Rust fuzzing harnesses, the entry points that feed generated test data into code. Helps structure inputs, reach more code paths, and address crashes caused by inconsistent test behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a first fuzzing harness
• Building structured inputs for an API
• Investigating crashes that cannot be reproduced

Improve how search engines discover and understand a website by reviewing titles, descriptions, links, and sitemaps. Add structured data, machine-readable descriptions of page content, and use checklists to identify technical and on-page SEO issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review page titles and meta descriptions
• Check crawl settings and sitemaps
• Add structured data to articles or product pages

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a calculation tool to an AI Agent
• Defining typed inputs for multiple arguments
• Fixing tool output type errors

Coauthor proposals, specifications, and other structured documents through context gathering, section-by-section drafting, and revision. Test the finished draft with a fresh Claude conversation to identify unclear assumptions, missing information, and contradictions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning background notes into a proposal
• Drafting a technical specification or PRD
• Documenting a decision and its rationale

Collect Reddit posts and comments through the BrowserAct API using keywords, date filters, and sorting options. Results include votes, authors, timestamps, and reply relationships, providing structured source data for competitor research and reviews of community feedback.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting Reddit mentions of competitors
• Gathering comments about a brand’s reputation
• Researching user feedback on products and topics

Search Google News by keyword and publication period through the BrowserAct API. Collect headlines, publishers, publication times, and article links in a structured form for industry research, brand coverage checks, and competitor news tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracking news about an industry
• Checking brand coverage from the past 24 hours
• Collecting competitors’ news from the past week

Collect structured Google Images search results through the BrowserAct API. Set keywords, country, language, scrolling, and result limits to obtain titles, thumbnail URLs, source names, source logos, and destination links for visual research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find visual references for a topic
• Research competitor product imagery
• Compare image results across countries and languages

Search Zhihu articles by keyword and publication period through the BrowserAct API. Retrieve full article text, titles, authors, dates, cover image URLs, and source links as structured data for industry research, brand monitoring, or competitor updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Research recent industry articles
• Track mentions of a brand or company
• Collect competitor product updates

Collect structured YouTube search results for videos, Shorts, channels, or playlists. Retrieve titles, displayed view counts, publication times, and URLs to build topic lists, research competitors, or gather tutorial resources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collect videos about a specific topic
• Research channels in a niche
• Compare view counts across keyword searches

Add AI chat, text generation, and agents to applications using AI SDK. The skill checks documentation and source code to guide streaming replies, external tool calls, structured results, React integration, and fixes for outdated API usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add AI chat to an application
• Build an agent that calls external tools
• Build answers using retrieved documents

Find recent papers on a research topic from arXiv, bioRxiv, or both. Narrow candidates through scored shortlists, then produce structured Chinese and English summaries with paper metadata, limitations, and an explanation of the final selection.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare daily or weekly research paper digests
• Search recent papers across arXiv and bioRxiv
• Compare candidate papers using scored shortlists

Check whether medicinal chemistry papers are indexed in ChEMBL, a curated database of biological activity measurements. Look up papers by DOI, report available data counts, and retrieve structured measurements before extracting tables from PDFs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking ChEMBL coverage before extracting PDF tables
• Retrieving IC50 or MIC measurements from a paper
• Recording ChEMBL links and data counts in research notes

Create custom tools that an AI agent can call in Unity Editor by adding C# files to the project. Includes implementation examples and guidance for structured results, running Unity operations on the main thread, and handling lengthy operations or recompilation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding custom Unity Editor operations for an AI agent
• Creating tools to find or rename GameObjects
• Returning tool results as structured data