lit-review
Conduct thorough, methodical literature reviews adhering to scholarly standards. This skill guides systematic research synthesis across academic databases including PubMed, arXiv, bioRxiv, and Semantic Scholar.
Découvrez les skills tools academic, comparez leurs dépôts et consultez leurs instructions.
Conduct thorough, methodical literature reviews adhering to scholarly standards. This skill guides systematic research synthesis across academic databases including PubMed, arXiv, bioRxiv, and Semantic Scholar.
Define hallucination categories and evidence thresholds for legal citation errors
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
This skill generates properly formatted BibTeX citation entries for academic articles. It should be used when the user provides links to academic papers and needs BibTeX entries with specific formatting rules i...
This skill updates the uexplorer bibliography entry with "Just Accepted" status, when the paper is formally published.
Apply RLM (Recursive Language Model) reasoning pattern for large context processing. Use when analyzing large files, codebases, or documents. Triggers on "RLM pattern", "large file analysis", "selective reading...
OpenAI Codex CLI の仕様と使い方に関する知識を提供。モデル選択、推論レベル、承認モード、サンドボックス、組み込みツール、スラッシュコマンド、設定方法について回答。Use when user asks about Codex CLI, codex command...
Gemini CLI を使用した Web 検索を実行。技術情報、最新ニュース、一般的なリサーチに対応。Use when user asks to search the web, look up information, find recent news, or research a topic. Also use when user says 調...
Prepares PDF books for LLM analysis. Creates analysis-ready chunks through TOC-based splitting and markdown conversion while preventing Context Overflow. Use when you need PDF book analysis, chapter-based split...
Deep research using web, docs, and code search. Triggers on: "research", "look into", "what's the best", "how should I", evaluating libraries, unfamiliar patterns, state of the art.
Comprehensive guide for AI agent when it is requested to perform following tasks: (1) Summarize text, (2) Sentiment analysis, (3) Translate test in full length.
Guide for AI agent to perform text summary task.
Convert free-form reviewer notes to structured feedback format with interactive clarification.
[32] ANALYZE. Ensure every critical claim has verifiable evidence with confidence levels. Each fact must have source + confidence percentage. If confidence
[22] UNDERSTAND. Deep research from all sources — internal (code, git, logs) AND external (web, docs, best practices). Use when choosing libraries, investigating solutions, understanding legal/technical questio...
[23] UNDERSTAND. Consult external AI models when internal sources are exhausted. Build quality prompts using Prompt150 formula (Context + Query + Method + Style). Use when Loop150 exhausts internal sources, nee...
Extracts wine awards from PDF documents. Use when importing competition results, processing wine ratings, or when user mentions "extract awards", "parse awards PDF", "import competition results", or "process wi...
Reads and responds to draft annotations via MCP. Use when user mentions annotations, feedback, or reviewing drafts.
Extract all Fitzgerald quotes from the metaphor analysis essay with chapter references. Use as the first step in the translation pipeline.
Phase 4 of MIP pipeline - Create detailed essay outline with thesis, word budgets, and quote assignments for each section.
Phase 5 of MIP pipeline - Write the full analytical essay following the outline, hitting word targets, and including proper MIP analysis for each quote.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fi...
Detect hints about unreleased AI research or capabilities from lab researcher communications. Use when analyzing tweets, posts, or interviews from people at major AI labs to identify signals about upcoming work...
Assess overall hype levels across AI topics by comparing lab researcher enthusiasm against critic skepticism. Use after topic synthesis to identify which topics are overhyped, underhyped, or accurately assessed...
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.