调研、论文、教育、考证学习（4328 个）
Collect used-item listings from Goofish searches, including titles, prices, images, seller locations, and interest counts. Filter by price or listing date and sort results to build lists for researching China's second-hand market.
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Extract product names, prices, shipping details, and seller ratings from eBay search or category pages. Collect listings across multiple pages and regional eBay sites to prepare data for price comparisons and listing research.
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Provides shared reference material for mathematical modeling competitions, covering writing conventions, problem-specific pitfalls, and chart guidelines. Other skills consult relevant sections during their work; this resource does not run independently.
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Turn a complete mathematical modeling competition paper into an English conference manuscript. Reorganize the research argument, track evidence, and prepare figures using an included IEEE LaTeX template, delivering source files and a PDF when compilation succeeds.
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Coordinates a mathematical modeling competition project from planning to final checks. It records formatting and language preferences, creates a plan and task checklist, and calls dedicated skills for modeling, coding, diagrams, paper writing, and verification.
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Check a completed mathematical modeling competition paper for structural errors, figure references, numerical consistency, and PDF layout problems. Supports Typst and LaTeX, fixes directly repairable issues, and produces a verification report with remaining submission tasks.
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Prepare evidence for a talk about project experience by comparing git history, release notes, and a source summary. Produce commit and contributor metrics, release analysis, and a factual timeline that flags conflicting or unverified information.
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Find third-party mentions of Claude Code Ultimate Guide or its author's public projects. Verify evidence, remove duplicate sources, and report mentions by type, then update the relevant tracking catalog after explicit approval.
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Follow a structured Claude Code curriculum with tracks for different goals. Record concrete evidence from project exercises, unlock modules when prerequisites are complete, and check scheduled reviews while keeping progress data inside the current project.
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Check your understanding of code you recently wrote, edited, or accepted from AI. Answer questions one at a time, receive explanations, and finish with a score, strengths, review topics, and suggested practice.
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Assess your Claude Code knowledge through multiple-choice questions with immediate feedback. Choose a quick check or a comprehensive assessment to identify gaps and receive a prioritized learning path, with practice projects included in the comprehensive mode.
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Learn programming concepts through a short definition, a minimal code example, and a practical use case. Explanations adapt to experience level, highlight common mistakes, and suggest related topics and a small practice exercise.
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Create summaries, briefings, literature reviews, or comparisons from workspace files. Organize findings by topic, support claims with short quotations and file references, and produce a Markdown report with a list of cited sources.
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Turn research results into figures and tables for papers using pubfig and pubtab. Choose an appropriate presentation, convert Excel tables to LaTeX, export assets, and check readability, labels, and consistency before submission.
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Draft, audit, or revise responses to reviewers for Nature-family journals. Links each reviewer concern to manuscript evidence or a documented change, and identifies unanswered comments, missing author input, and issues that need resolution before submission.
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Prepare data availability statements for Nature-family submissions by mapping research datasets to access routes, planning repositories, drafting dataset citations, and checking metadata—the descriptive information needed to find and reuse data.
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Review academic papers before submission by checking structure, logic, citations, figures, and writing clarity. Audit major claims against available evidence, identify overstatement or missing support, and suggest whether each claim should be kept, softened, revised, or removed.
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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.
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Check academic references for existence, accurate publication details, and support for the claims being cited. This guide explains how to verify sources, obtain bibliography entries, and flag references that cannot be confirmed.
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Turn research code and experimental results into ML and AI paper drafts. The skill guides paper structure, related work searches, citation verification, and conference formatting with LaTeX, a document preparation system used for academic papers.
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Organizes project literature reviews in Obsidian, turning paper notes into linked summaries, method categories, research gaps, and a visual map. Writing drafts and comparison tables follow only when claims meet the required evidence checks.
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Turn validated experiment analysis into an internal research report that supports decisions. Organize findings, statistical evidence, figure interpretations, limitations, and next actions, then save the report as Markdown or write it into a connected Obsidian knowledge base.
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Turn paper reviews into structured, professional responses. Classify comments, choose whether to revise, defend, clarify, or propose experiments, and draft a rebuttal that addresses every point with evidence and a respectful tone.
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Prepare conference slides, academic posters, and research promotion drafts from an accepted paper. The skill guides presentation timing, visual layout, and platform-specific writing while keeping claims and links tied to verified research materials.
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