evaluating-paper-relevance
Two-stage paper screening - abstract scoring then deep dive for specific data extraction
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Two-stage paper screening - abstract scoring then deep dive for specific data extraction
PubMed search with keyword optimization, result parsing, and metadata extraction
Deep content analysis for structure, themes, narrative flow, key moments, and important quotes. Use before content-documenter.
Analyze media content structure, narrative flow, key themes, and important moments from videos, podcasts, and articles. Use when you need to understand content organization before documenting.
Technical documentation discovery via context7 and web search. Capabilities: library/framework docs lookup, topic-specific search. Keywords: llms.txt, context7, documentation, library docs, API docs. Use when:...
This skill should be used when the user asks to "research an artist", "analyze [artist] style", "study [song]", "look up [artist] patterns", or wants to explore musical patterns before creating a Suno song. Aut...
Comprehensive AI writing detection patterns and methodology. Provides vocabulary lists, structural patterns, model-specific fingerprints, and false positive prevention guidance. Use when analyzing text for AI a...
Add citations and bibliographies to Julia documentation using DocumenterCitations.jl. Use this skill when adding academic references to package documentation.
Research methodology and best practices for finding existing patterns
Scan the knowledge base for structural issues like broken links, orphan notes, missing indexes, and optionally AI-powered content staleness detection.
Comprehensive verification of project documentation for completeness, accuracy, consistency, and quality. Use this skill when you need to verify documentation alignment with code, check for missing or outdated...
使用 arXiv 进行论文检索与获取:按关键词搜索、按 arXiv ID 获取摘要、下载论文 PDF。适用于做文献调研时快速定位论文、提取摘要、批量下载。
Computational text analysis for sociology research using R or Python. Guides you through topic models, sentiment analysis, classification, and embeddings with systematic validation. Supports both traditional (L...
This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It automates prompt enhancement through interactive clarifying questions, saves research paramet...
This skill should be used when the user requests to research topics using FireCrawl, enrich notes with web sources, search and scrape information, or write scientific/academic papers. It extracts research topic...
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, ext...
Library documentation via Context7. Use for API references, code examples, framework docs.
Web research via Perplexity AI. Use for technical comparisons (X vs Y), best practices, industry standards, documentation. Triggers on "research", "compare", "vs", "best practice", "which is better", "pros and...
Text editing assistant with specialized modes for typos, grammar, flow, headings, citations, and more. Use when editing, proofreading, or improving written content including documentation and markdown files.
Create or revise RFCs and ADRs using Lawbot-Hub templates and strong in-repo examples. Use when drafting, reviewing, or tightening RFC/ADR documents, or when assessing RFC/ADR quality.
Scrape websites with a headless browser and extract main readable content as Markdown. Use this skill when the user asks to retrieve, analyze, or summarize content from a URL or website.
Search the web using Kagi. Use for web searches with Quick Answer AI summaries.
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmark...
Deep attachment analysis with extraction, importance classification, and content analysis for emails and threads.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.