리서치·학습 스킬

Use this skill to plan and assess customer conversations that focus on people’s real problems and past behavior. It helps shape non-leading questions, distinguish useful evidence from compliments or hypotheticals, and identify a concrete next step.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting questions for customer discovery
• Checking an interview plan for leading questions
• Separating behavioral evidence from praise

Find and run suitable Apify web scraping Actors to collect data from platforms such as social networks, search services, and review sites. It can return a quick summary in chat or provide results as JSON or CSV for further analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting public social media or search data
• Finding leads or researching competitors
• Analyzing reviews, trends, or audience activity

Turn natural-language chemistry research requests into a source-linked intent record, then route it through local validation to an eligible chemistry skill, controlled chain, or workflow. It handles complex or ambiguous tasks and flags cases requiring clarification or confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Routing a multi-step chemistry research request
• Choosing a controlled skill chain for a defined task
• Flagging ambiguities that need clarification

Find and compare structured chemical reaction precedents by reaction ID, components, SMARTS patterns, or whole-reaction similarity. Return source records with their reported conditions, yields, quality status, and explicit search definitions for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Look up a reaction by its ID
• Find reactions containing a component substructure
• Search transformation patterns with reaction SMARTS

Review existing chemical synthesis routes step by step. Check route structure, reaction precedent evidence, inventory claims, and licensing gaps, then organize weak steps and routes that need expert review without generating or scoring routes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing existing AiZynthFinder routes
• Finding steps with weak reaction precedent evidence
• Checking precursor inventory claims and license gaps

Resolve a chemical record from a name, structure notation, or database identifier by comparing evidence from multiple sources. The result preserves matching records, related forms, ambiguities, and conflicts so a human can review candidates before structure standardization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking which chemical record a name or identifier refers to
• Matching a chemical across open databases
• Reviewing related forms or conflicting records

Use a command-line interface to inspect and organize Zotero libraries, collections, items, and tags. It can render citations and bibliographies, add notes, import files or JSON, and assemble structured item context for further analysis, while working with Zotero’s local services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Searching items across Zotero libraries
• Rendering a citation or bibliography
• Adding a note to a Zotero item

Expand an existing research outline by adding research subjects, called items. Combine subjects supplied by the user with optional web search suggestions, check for duplicates, and confirm the additions before updating outline.yaml.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding subjects to a research outline
• Finding more subjects through web search
• Checking suggested additions for duplicates

Create a preliminary research plan from a topic. The skill proposes subjects and fields, asks about scope and timing, supplements the framework with web search, and saves an outline and field definitions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an academic topic review
• Comparing products or services for a benchmark
• Organizing criteria for a technology choice

Turn a topic into a structured preliminary research plan. It drafts subjects and comparison fields, gathers time-scoped additions through web search, then writes an outline and field definitions for deeper research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing an academic literature review
• Building a product benchmark framework
• Comparing options for technology selection

Turn deep research result files into a structured Markdown report with a table of contents and detailed sections by category. It includes available fields, can surface selected metrics in the contents, and skips values marked uncertain or left empty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing a folder of deep research results
• Creating a Markdown report from JSON research data
• Showing selected metrics in a report contents list

Run deep research for items in an existing outline by assigning them to background agents. The skill skips completed results, writes structured JSON using defined fields, and reports completion and uncertain items.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching every item in an outline
• Resuming work while skipping completed results
• Collecting comparable facts in structured JSON

Add requested research topics to an existing outline.yaml file. The skill checks for duplicates, shows the changes for confirmation, and saves the updated outline in place.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding research subjects to an existing outline
• Checking for duplicate items before updating
• Reviewing outline changes before saving

Turn collected research JSON files into a Markdown report with an anchored contents list, selected summary fields, and details grouped by category. Values marked uncertain or left empty are omitted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a readable report from research JSON files
• Choosing which metrics appear in the contents list
• Grouping research details by category

Extend an existing research outline with field definitions. Provide field names yourself or request common suggestions from a web search, then choose the fields, categories, and detail levels to append to fields.yaml after review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding your own field definitions
• Looking up common fields in a research area
• Choosing categories and detail levels for new fields

Run deep research on each subject listed in an outline, using separate agents and the defined fields to produce structured JSON files. Resume completed work, process items in batches, and report progress and final results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching every item in an outline
• Producing structured JSON results for subjects
• Resuming a multi item research run

Add field definitions to an existing research outline. Review suggested fields from your input or a web search, choose their categories and detail levels, then confirm which ones to append to fields.yaml.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding fields from your own list
• Finding common fields for a research topic
• Reviewing field suggestions before updating an outline

Summarize web articles, YouTube videos, podcasts, and local files with the summarize command-line tool. Extract available text or transcripts from URLs, choose a summary length, and request JSON output for use in other workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get the main points of a web article
• Summarize a YouTube video
• Extract an available video transcript

Use this skill to explore a difficult problem by treating one concept as if it were something from a different field. It guides you to identify new possibilities, test where the comparison stops being useful, and record the insight.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exploring new approaches when familiar methods feel inadequate
• Borrowing ideas from another field to rethink a problem
• Testing the limits of a useful metaphor

Recognize a recurring pattern across three or more domains, describe its abstract form, compare how it changes in each setting, and consider where else it could help. This supports transferring useful principles between otherwise different problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a shared approach across different technical areas
• Comparing how the same pattern changes by context
• Applying a known solution pattern to a new problem

Use this skill to work through complex, multi-stage problems in a structured way. It helps an agent break a task into steps, revisit earlier conclusions, explore alternative approaches, and adjust the scope as new information emerges.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Breaking a complex problem into steps
• Revisiting a conclusion after an assumption changes
• Comparing alternative approaches to a design

Find and summarize technical documentation for libraries and frameworks. The skill checks AI-friendly llms.txt sources, analyzes GitHub repositories when needed, and combines information from multiple documentation sources into an organized report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find current documentation for a framework
• Gather docs from several sources in parallel
• Analyze a library's GitHub repository

This skill offers several ways to get unstuck: combine ideas from different fields, reverse assumptions, spot patterns across domains, test extremes, or simplify a tangled design. It helps match a problem to a technique and look for a simpler solution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a technique when you are unsure how to proceed
• Rechecking assumptions that seem to constrain a solution
• Finding repeated patterns or unnecessary complexity

Use this skill to study and organize materials from Ni Haisha’s Chinese medicine courses, including formulas, six-channel patterns, acupuncture topics, and lesson notes. It can locate related references and board or slide evidence while keeping course claims distinct from general reasoning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a Ni Haisha course lesson
• Comparing course formula patterns for study
• Finding board or slide evidence for a topic