调研、论文、教育、考证学习（4330 个）
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.
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Document how a research or coding session evolved after the work is complete. The skill extracts decisions, experiments, failed approaches, and claims into ara/ files, distinguishing user statements from AI suggestions and actions.
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Review Agent-Native Research Artifacts, structured research packages for agents, across six dimensions of research quality. Produce a JSON report with scores, strengths, severity-ranked findings, practical improvements, and an overall acceptance or rejection recommendation.
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Turn research code and experimental results into ML and AI paper drafts. Clarify the main contribution, connect claims to evidence, find and verify references, and prepare conference submissions using LaTeX templates and review checklists.
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Plan systems conference papers with section page budgets, paragraph outlines, and writing patterns. Organize design choices, experimental evidence, and related work into a clear argument, then review the draft with submission checklists.
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Coordinate AI research from literature review and hypothesis testing to findings and paper drafts. The skill alternates focused experiments with broader reflection, maintains project records, and directs specialized skills to carry out research tasks.
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Support academic work from refining a research question to literature reviews, manuscript drafting, citation checks, and revision. Select workflows for the current stage, including study selection against eligibility criteria, peer review, and experiment planning.
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Examine important choices and assess claims by rebuilding their reasoning from basic knowledge. Use mental models, reusable ways to understand problems, to compare conclusions, identify unknowns, and consider long-term consequences.
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Evaluate beliefs and spiritual claims by asking what evidence could show them to be wrong. Plan personal trials of practices such as meditation, review observed results, and write principles that distinguish evidence from personal experience.
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Build a reading habit by starting with interesting chapters and switching books when needed. This skill also guides you toward foundational works in a new subject and uses explaining what you learn to check your understanding.
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Research topics on the web and turn findings into a structured brief for content creation. Cross-check important claims across independent sources, collect attributed statistics and quotes, and identify useful angles alongside gaps, disagreements, and outdated evidence.
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Register arXiv papers on Hugging Face Hub, connect them to models and datasets, and manage authorship claims and profile visibility. Create research articles from Markdown templates and convert them into HTML for sharing.
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Read and summarize AI research papers from Hugging Face or arXiv links and identifiers. Retrieve paper content alongside structured details about authors, related models, datasets, Spaces, and implementation links to support further investigation.
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Research questions on the web and produce a report with source links. Read full pages, check important claims against independent sources, and clearly distinguish supported findings from uncertain evidence or disagreements.
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Examine education and career choices through decision frameworks drawn from 张雪峰’s public statements. The skill considers family circumstances, researches current employment data for concrete questions, and responds in a direct conversational style.
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Turn interviews, surveys, usability notes, and customer feedback into shared themes, user groups, and prioritized recommendations. Findings include supporting quotes and participant counts, helping teams connect research evidence to concrete product improvements.
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Plan user research, prepare interview guides, and organize findings into themes and recommendations. Choose methods suited to the question, such as interviews, surveys, or usability tests that examine how people use a design.
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Create learning summaries of regional medical insurance policies in China for primary care doctors. The skill reviews recent changes or a chosen period, cites official documents, and identifies matters requiring local confirmation without determining reimbursement.
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Retrieve Chinese medical guidelines, drug information, and regulatory documents when original sources are inaccessible. It checks document identity and version before using alternative copies, while keeping summaries and reposts separate from independent clinical evidence.
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Study verified medical guidelines through section summaries linked to their original locations. The skill explains confusing points, summarizes selected topics, and builds learning sequences with estimated study time and signs of understanding.
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Choose study materials and a learning order for physicians preparing for exams or job requirements. Recommendations follow official exam outlines and adapt to specialty, target date, and daily study time, with supplementary suggestions clearly labeled.
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Create learning reminders about medical guideline, consensus, and standards updates relevant to a doctor's specialty and local care setting. Check authoritative originals and summarize learning topics with source links, without providing patient treatment instructions.
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Collect trending news, search rankings, gold prices, and exchange rates from over 70 platforms. Get a digest or headline list organized around selected topics and interests, with duplicate stories merged and sources and retrieval times included.
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Build and maintain a Markdown knowledge base from source materials, with linked pages and traceable evidence. Use accumulated knowledge to answer questions, preserve reusable research, and check for conflicting claims, outdated information, broken links, or missing index entries.
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