리서치·학습 스킬

Retrieve an arxiv paper's full text from its HTML version using an ID or URL. Extract readable text with section structure, optionally save it to a file, and prepare it for reading, notes, or technical analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading a paper from an arxiv ID or URL
• Extracting full text for research notes
• Saving long papers for section-by-section reading

Find learning materials across papers, official documentation, and code repositories, then prioritize them using source evidence, current goals, and reading history. It also supports detailed reading explanations and integrating findings into a specified note.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding papers and technical learning materials
• Choosing what to read next
• Understanding a paper's methods and limitations

Search the web, images, news, and videos through a local SearXNG instance that combines results from multiple search engines. Filter by language or time range, and retrieve formatted results or JSON for further processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching a topic across multiple search engines
• Finding images, news, or videos by category
• Filtering searches by language or time range

Search the web with a specific question using the included Python script. Receive an agent-generated answer with reference details, suggested follow-up questions when available, and token usage; optional console settings enable richer presentation features.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching recent news on a specific topic
• Getting answers with reference details
• Finding follow-up questions for further research

Read 小红书 / RedNote posts from shared links and summarize captions separately from information inside images. Check the post's identity and image order, then report sources, reading coverage, and claims that remain unverified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing a post from a shared link
• Reading image notes in their original order
• Understanding tables and formulas inside images

Collect industry information from RSS feeds, websites, and APIs using over 207 configured sources. Remove duplicates, apply AI scoring, categorization, and summaries, and produce Markdown reports or JSON data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gathering AI technology news into a report
• Collecting coal and real estate industry updates
• Collecting information from a custom source list

Read WeChat Official Account articles through available web or browser tools. Summarize the content actually accessed, check article details and relevant images, and clearly report reading limits, verification barriers, and claims that remain unverified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarize a WeChat article from its link
• Check the title, author, and publication date
• Inspect key images alongside the article

Research complex topics through repeated web searches, adjusting the next search based on earlier findings. Combine the collected information into a detailed Markdown report with source references, conclusions, and remaining uncertainties.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching market trends
• Investigating recent technology developments
• Comparing competitors and products

Extract titles and content from URLs pointing to web pages, PDFs, or Douyin videos. Submit several URLs together and receive a JSON list, a structured format containing the title and content for each link.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting a web page's title and content
• Reading content from a PDF URL
• Retrieving content from a Douyin video URL

Research product, design, and technical questions using external sources. Check where claims come from, distinguish observed behavior from interpretation, and turn findings into comparisons, recommendations, or concrete next steps for implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare products or technical approaches
• Inspect X posts and product demos
• Turn design references into implementation ideas

Gather recent AI products, papers, tools, and viewpoints into a Chinese and English HTML daily report. Select up to ten supported items, check original sources where possible, and summarize shared trends with practical next actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing recent AI developments each morning
• Tracking research and tools for AI agents
• Choosing what to read or try next

Organize Marin experiment reports into a maintained index, or archive explicitly named older experiments using lasting tags and issue references. Existing conclusions and canonical links are preserved so experiment records remain traceable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing an index of experiment reports
• Consolidating canonical report entries
• Archiving named legacy experiments

Plan solutions to topology problems involving open sets and continuous maps. Choose criteria based on distances or preimages, the points mapping into a set, and organize reasoning about interiors, closures, boundaries, and epsilon-delta conditions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Proving that a set is open
• Checking continuity using preimages
• Organizing interiors, closures, and boundaries

Work through limits in real analysis by choosing among substitution, algebraic manipulation, derivative-based methods, and bounding arguments. The skill also guides rigorous epsilon-delta proofs and provides commands for symbolic calculations and proof checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a method for solving a limit
• Simplify an indeterminate expression
• Check bounds for the squeeze theorem

Work through topology problems about connectedness, the property of a space having no separation into two nonempty open parts. It outlines proof strategies, path construction, and connected components, with command examples for symbolic calculation and proof tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a strategy for a connectedness proof
• Constructing paths between points in a convex set
• Proving a union of connected sets is connected

Organize topology problems about compactness, a property defined through finite selections from open covers. Choose tests suited to the space, examine products, and apply compactness to continuous images and maximum or minimum values.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check compactness of a subset of Euclidean space
• Examine compactness through sequences or open covers
• Study compactness of product spaces

Work through linear algebra problems involving vector spaces, from checking subspaces and linear independence to finding bases, dimensions, and coordinate changes. The skill connects each task to symbolic calculation or proof scripts for checking the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a set is a vector subspace
• Testing vectors for linear independence
• Finding a basis and dimension

Helps solve contour integral problems by choosing suitable paths, locating singularities, and applying the residue theorem, which relates an integral to values around poles. Includes Sympy commands for finding poles, calculating residues, and checking definite integrals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a contour for an improper real integral
• Evaluate trigonometric integrals using the unit circle
• Plan a contour around branch cuts

Work through information theory problems involving entropy, a measure of uncertainty. Provides formulas, properties, and calculation examples for discrete and continuous distributions, joint and conditional entropy, and choosing distributions through the maximum entropy principle.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Calculating Shannon entropy from a probability distribution
• Working through joint and conditional entropy problems
• Calculating differential entropy for continuous distributions

Choose a mathematical approach for a problem you do not yet know how to model. Guided questions clarify change, uncertainty, optimization goals, and required precision, leading to a recommended framework, starting equations, tools, and related skills.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a mathematical approach for a real-world problem
• Deciding how to model discrete or continuous change
• Selecting methods for uncertainty or optimization

Work through natural transformation problems in category theory by checking component maps and compatibility conditions. The skill outlines strategies for natural isomorphisms, composition, and the Yoneda lemma, with references for expressing and checking work in Lean 4.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check the naturality of a transformation
• Examine whether a transformation is a natural isomorphism
• Study composition in functor categories

Choose approaches to Hilbert space problems in functional analysis using orthogonal decomposition, projection, and representation theorems. The skill provides a decision tree and command examples for inner product calculations and proof tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an approach to Hilbert space exercises
• Studying orthogonal decomposition and projection
• Working through the Riesz representation theorem

Work through abstract algebra problems about rings by checking their defining rules and properties. The skill organizes questions about ideals and structure-preserving maps, with Z3 and Sympy command examples for proof checks and symbolic calculations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether operations define a ring
• Examining commutativity, identity, and integral domain conditions
• Checking ideal conditions

Solve optimization problems with equality constraints, inequalities, or variable bounds. Guides method selection, symbolic equations, and optimality checks, with SciPy examples for finding numerical solutions that respect the stated constraints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Classify constraints before choosing a solution method
• Solve equality-constrained problems with Lagrange multipliers
• Check KKT conditions for inequality constraints