600건 · 관련도순
Generates IEEE-format LaTeX technical reports from project requirements and codebase evidence, using academic prose, pseudocode-only explanations, BibTeX references, and IEEEtran formatting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of claims, simulating peer reviewer feedback, verifying citation closure and evidence debts, performing cross-section consistency checks. Triggers on: 审修, self review, 自查, verification, revise, 修订, check draft, 审稿, evidence compliance, peer review, 论文审查, draft audit, 验证论文, 检查引用, cross-section review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Deep multi-source research synthesis — web, academic, patent, and internal KB cross-referencing
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search academic literature and generate, validate, or compare Knows paper sidecars. Use for claim/evidence analysis and literature synthesis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Research a skill domain before building or improving a skill. Searches academic papers, practitioner blogs, and GitHub skill repos in parallel to find current best practices, domain gotchas, and existing skill patterns. Called by universal-skill-creator and improve-skills before writing any skill. Also load directly when the user asks to research a domain for a skill, find existing skills on a topic, discover best practices for a skill, check what research exists before building an agent skill, or says "what does current research say about", "find best practices for".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Orchestrator for the learn-from suite - auto-detects source type (academic paper, GitHub repo, blog/web article, or in-conversation learnings) and routes to the correct sub-skill for credibility check, security scan, insight extraction, and application. Load when the user says "learn from", "learn from this", "extract insights from", "apply learnings from", "what can we learn from", or provides a URL, file path, or pasted content that should be ingested as knowledge. Single entry point for all learning workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when writing recommendation letters, reference letters, or award nominations for students, postdocs, or colleagues. Invoke when user mentions recommendation letter, reference, nomination, letter of support, endorsement, or needs help with strong advocacy, comparative statements, or evidence-based character assessment.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Translates or rewrites Chinese text into English using a 'critical dialogue' tone, characterized by engaging questions, analytical commentary, and a conversational flow while preserving citations and facts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
将中文学术文本翻译为符合国际期刊标准的高级英语，并提供多个润色版本以供选择。确保术语准确、逻辑严谨、句式复杂，彻底消除中式英语。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Conduct deep, multi-source research by cross-referencing data from web search, news, social media, academic sources, and proprietary databases. Enforces APA 7th citations, evidence hierarchy, and 2-cycle verification per research theme. Built for competitive intelligence analyst workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Navigate moral reasoning from personal dilemmas to academic philosophy.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
7-agent paper review system on Hermes Agent. 6 modes (full/re-review/quick/methodology-focus/guided/calibration). 5-panel review with editorial decision, revision roadmap, and calibration metrics. Uses delegate_task for each reviewer. Triggers: review paper, peer review, manuscript review, check revisions, calibrate reviewer, 審稿, 同儕審查, 論文審查.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
指导学者在顶刊发表论文的资深教授。从选题到逻辑大纲，手把手协助构建具有高度学术价值和创新性的研究框架。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search arXiv papers by keyword, author, category, or ID.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing a course, assessment, or student-feedback workflow and deciding where AI assistance is acceptable, when grading or feedback must stay within academic-integrity and FERPA/KVKK boundaries, or when AI-use rules for students need stating.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when adapting academic findings for a public audience (op-ed, social post, podcast) and the simplification must stay evidence-faithful, avoid overclaiming, respect embargoes, and disclose AI assistance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.